{ "meta": { "hub": "awesome-skillkit", "version": "0.23.1", "updated": "2026-09-27", "desc": "Curated scene packs for AI tools: each pack = one real-world scenario, containing multiple skills. Download zip -> unzip -> drag the skill folders into your AI tool's skills directory.", "desc_zh": "精选场景包合集：每个场景包 = 一个真实场景，内含多个 skill。下载 zip -> 解压 -> 把 skill 文件夹拖进 AI 工具的 skills 目录即可使用。", "n_skills": 418, "n_skills_on_disk": 420, "n_packs": 57, "n_domains": 27, "n_groups": 8, "n_chains": 112, "n_et_teams": 18, "n_et_agents": 219, "n_et_skills": 100, "github": { "repo": "X33834/awesome-skillkit", "url": "https://github.com/X33834/awesome-skillkit", "raw": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main" }, "gitcode": { "repo": "badhope/awesome-skillkit", "url": "https://gitcode.com/badhope/awesome-skillkit", "raw": "https://gitcode.com/badhope/awesome-skillkit/raw/main" }, "gitee": { "repo": "badhope/awesome-skillkit", "url": "https://gitee.com/badhope/awesome-skillkit" } }, "domains": [ { "id": "audio", "label": "audio", "label_zh": "音频播客", "entry": "podcast-producer", "n_skills": 4, "n_packed": 4, "n_chains": 3, "chains": [ { "name": "audiobook_chapter", "steps": [ "tts-voice-director", "episode-publisher" ] }, { "name": "document_to_podcast", "steps": [ "podcast-producer", "tts-voice-director", "episode-publisher" ] }, { "name": "podcast_episode", "steps": [ "podcast-producer", "tts-voice-director", "sound-designer?", "episode-publisher" ] } ] }, { "id": "chat", "label": "chat", "label_zh": "提示词对话", "entry": "chat-prompt-engineer", "n_skills": 1, "n_packed": 1, "n_chains": 1, "chains": [ { "name": "prompt_audit", "steps": [ "chat-prompt-engineer" ] } ] }, { "id": "communication", "label": "communication", "label_zh": "沟通表达", "entry": "tactful-communication", "n_skills": 2, "n_packed": 2, "n_chains": 3, "chains": [ { "name": "decision_review", "steps": [ "decision-debiasing", "tactful-communication" ] }, { "name": "tactful_reply", "steps": [ "tactful-communication" ] }, { "name": "workplace_report", "steps": [ "tactful-communication" ] } ] }, { "id": "customer", "label": "customer", "label_zh": "客户支持", "entry": "skills/customer/ticket-triage", "n_skills": 3, "n_packed": 3, "n_chains": 1, "chains": [ { "name": "support_loop", "steps": [ "ticket-triage", "draft-response", "kb-article" ] } ] }, { "id": "dataviz", "label": "dataviz", "label_zh": "数据可视化", "entry": "skills/dataviz/dashboard-designer", "n_skills": 2, "n_packed": 2, "n_chains": 1, "chains": [ { "name": "csv_to_dashboard", "steps": [ "chart-recommender", "dashboard-designer" ] } ] }, { "id": "design", "label": "design", "label_zh": "视觉设计", "entry": "design-brief-interpreter", "n_skills": 14, "n_packed": 14, "n_chains": 9, "chains": [ { "name": "banner", "steps": [ "design-brief-interpreter", "image-prompt-engineer", "layout-spec-auditor" ] }, { "name": "batch_asset_prep", "steps": [ "image-batch-processor" ] }, { "name": "cover", "steps": [ "design-brief-interpreter", "image-prompt-engineer", "layout-spec-auditor" ] }, { "name": "design_system_build", "steps": [ "design-system-foundations", "frontend-design-director", "frontend-component-lab" ] }, { "name": "frontend_design", "steps": [ "design-brief-interpreter?", "frontend-design-director" ] }, { "name": "infographic", "steps": [ "design-brief-interpreter", "image-prompt-engineer", "layout-spec-auditor" ] }, { "name": "poster", "steps": [ "design-brief-interpreter", "image-prompt-engineer", "layout-spec-auditor" ] }, { "name": "thumbnail", "steps": [ "design-brief-interpreter", "image-prompt-engineer", "layout-spec-auditor" ] }, { "name": "ui_audit", "steps": [ "design-system-foundations", "ui-ux-accessibility", "layout-spec-auditor" ] } ] }, { "id": "education", "label": "education", "label_zh": "教育学习", "entry": "course-designer", "n_skills": 6, "n_packed": 6, "n_chains": 5, "chains": [ { "name": "full_course", "steps": [ "course-designer", "exercise-generator" ] }, { "name": "homework_autopilot", "steps": [ "assignment-intake", "solution-drafter", "own-voice-rewrite" ] }, { "name": "humanized_homework", "steps": [ "assignment-intake", "own-voice-rewrite" ] }, { "name": "remedial_only", "steps": [ "feynman-explainer" ] }, { "name": "topic_mastery", "steps": [ "course-designer", "exercise-generator", "feynman-explainer" ] } ] }, { "id": "finance", "label": "finance", "label_zh": "财务", "entry": "skills/finance/variance-analysis", "n_skills": 3, "n_packed": 3, "n_chains": 2, "chains": [ { "name": "close_and_audit", "steps": [ "audit-support", "variance-analysis" ] }, { "name": "unit_economics_review", "steps": [ "unit-economics", "variance-analysis" ] } ] }, { "id": "hr", "label": "hr", "label_zh": "人力资源", "entry": "skills/hr/recruiting-pipeline", "n_skills": 6, "n_packed": 6, "n_chains": 2, "chains": [ { "name": "hire_flow", "steps": [ "recruiting-pipeline", "interview-prep", "onboarding" ] }, { "name": "performance_cycle", "steps": [ "policy-lookup", "performance-review" ] } ] }, { "id": "integrations", "label": "integrations", "label_zh": "工具集成", "entry": "skills/integrations/notion-workspace", "n_skills": 59, "n_packed": 59, "n_chains": 10, "chains": [ { "name": "deliverable_archive", "steps": [ "cloud-drive-manager", "feishu-dingtalk-bridge?" ] }, { "name": "feishu_approval_flow", "steps": [ "lark-shared", "lark-contact?", "lark-approval" ] }, { "name": "feishu_doc_publish", "steps": [ "lark-doc", "lark-wiki?" ] }, { "name": "gws_calendar_flow", "steps": [ "gws-calendar-agenda", "gws-calendar-insert" ] }, { "name": "gws_daily_ops", "steps": [ "gws-shared", "gws-calendar-agenda", "gws-gmail" ] }, { "name": "gws_inbox_triage", "steps": [ "gws-gmail-triage", "gws-gmail-read", "gws-gmail-reply" ] }, { "name": "gws_sheet_flow", "steps": [ "gws-sheets-read", "gws-sheets-append" ] }, { "name": "gws_workflow_flow", "steps": [ "gws-workflow", "gws-workflow-meeting-prep", "gws-workflow-standup-report" ] }, { "name": "meeting_notes_distribution", "steps": [ "notion-workspace", "feishu-dingtalk-bridge" ] }, { "name": "weekly_status_broadcast", "steps": [ "issue-tracker-sync", "feishu-dingtalk-bridge", "notion-workspace?" ] } ] }, { "id": "knowledge", "label": "knowledge", "label_zh": "知识管理", "entry": "skills/knowledge/personal-wiki", "n_skills": 2, "n_packed": 2, "n_chains": 1, "chains": [ { "name": "build_personal_kb", "steps": [ "personal-wiki", "knowledge-graph-builder" ] } ] }, { "id": "leadership", "label": "leadership", "label_zh": "高管决策", "entry": "skills/leadership/ceo-advisor", "n_skills": 9, "n_packed": 9, "n_chains": 3, "chains": [ { "name": "agent_org_design", "steps": [ "agent-hierarchy", "ceo-advisor" ] }, { "name": "exec_review", "steps": [ "cmo-advisor", "cfo-advisor", "ceo-advisor" ] }, { "name": "strategy_under_uncertainty", "steps": [ "scenario-planning", "market-entry" ] } ] }, { "id": "legal", "label": "legal", "label_zh": "法务合规", "entry": "skills/legal/review-contract", "n_skills": 4, "n_packed": 4, "n_chains": 1, "chains": [ { "name": "contract_review_flow", "steps": [ "review-contract", "triage-nda", "legal-risk-assessment" ] } ] }, { "id": "life", "label": "life", "label_zh": "生活服务", "entry": "home-renovation-avoidance", "n_skills": 4, "n_packed": 4, "n_chains": 4, "chains": [ { "name": "car_purchase_guard", "steps": [ "car-purchase-maintenance" ] }, { "name": "medical_visit_prep", "steps": [ "medical-visit-guide" ] }, { "name": "renovation_guard", "steps": [ "home-renovation-avoidance" ] }, { "name": "rental_contract_review", "steps": [ "rental-contract-guide" ] } ] }, { "id": "marketing", "label": "marketing", "label_zh": "营销增长", "entry": "product-copywriter", "n_skills": 25, "n_packed": 25, "n_chains": 7, "chains": [ { "name": "competitive_intel_cycle", "steps": [ "battlecard-generator", "competitive-pricing-intel", "competitor-intel" ] }, { "name": "devtool_lead_signals", "steps": [ "github-repo-signals", "community-signals" ] }, { "name": "paid_ads_diagnosis", "steps": [ "meta-ads-analyzer", "competitor-ad-intelligence", "ad-angle-miner", "ad-to-landing-page-auditor" ] }, { "name": "positioning_launch", "steps": [ "launch-positioning-builder", "brand-voice-extractor", "campaign-brief-generator", "content-repurposing" ] }, { "name": "product_launch", "steps": [ "product-copywriter", "campaign-designer", "channel-adapter" ] }, { "name": "seo_growth", "steps": [ "seo-opportunity-finder", "google-search-ads-builder", "paid-channel-prioritizer" ] }, { "name": "single_post", "steps": [ "product-copywriter", "channel-adapter" ] } ] }, { "id": "memory", "label": "memory", "label_zh": "记忆系统", "entry": "memory-architect", "n_skills": 4, "n_packed": 4, "n_chains": 3, "chains": [ { "name": "full_memory_stack", "steps": [ "memory-architect", "memory-extractor", "memory-manager", "memory-retriever" ] }, { "name": "populate_and_serve", "steps": [ "memory-extractor", "memory-manager", "memory-retriever" ] }, { "name": "retrofit_memory", "steps": [ "memory-architect", "memory-retriever" ] } ] }, { "id": "meta", "label": "meta", "label_zh": "元技能", "entry": "skills/meta/skill-author", "n_skills": 14, "n_packed": 13, "n_chains": 7, "chains": [ { "name": "agent_eval", "steps": [ "agent-eval-harness" ] }, { "name": "agent_eval_gate", "steps": [ "webapp-e2e-harness?", "agent-eval-harness", "ci-cd-pipeline-builder?" ] }, { "name": "discover_and_compose", "steps": [ "skill-finder", "skill-linter?" ] }, { "name": "new_skill_pipeline", "steps": [ "skill-author", "skill-linter", "self-eval?" ] }, { "name": "terse_mode", "steps": [ "caveman", "caveman-commit", "caveman-review" ] }, { "name": "token_economy", "steps": [ "caveman-compress", "caveman-stats", "caveman-help", "cavecrew" ] }, { "name": "weekly_status", "steps": [ "weekly-report-generator" ] } ] }, { "id": "music", "label": "music", "label_zh": "音乐生成", "entry": "music-generation", "n_skills": 1, "n_packed": 1, "n_chains": 1, "chains": [ { "name": "bgm", "steps": [ "music-generation" ] } ] }, { "id": "office", "label": "office", "label_zh": "办公文档", "entry": "docx-writer", "n_skills": 9, "n_packed": 9, "n_chains": 3, "chains": [ { "name": "document_pipeline", "steps": [ "internal-comms-writer?", "docx-writer?", "excel-assistant", "meeting-notes?", "pdf-pipeline" ] }, { "name": "ebook_pipeline", "steps": [ "docx-writer?", "epub-builder" ] }, { "name": "pdf_pipeline", "steps": [ "pdf-pipeline" ] } ] }, { "id": "ops", "label": "ops", "label_zh": "运营", "entry": "skills/ops/process-optimization", "n_skills": 11, "n_packed": 11, "n_chains": 4, "chains": [ { "name": "ops_cadence", "steps": [ "operating-cadence", "service-level-management", "vendor-management" ] }, { "name": "ops_delivery", "steps": [ "program-management", "dependency-and-risk-management", "estimating-and-contingency" ] }, { "name": "ops_resilience", "steps": [ "business-continuity-and-resilience", "process-design" ] }, { "name": "ops_review", "steps": [ "process-optimization", "risk-assessment", "status-report" ] } ] }, { "id": "paper", "label": "paper", "label_zh": "论文科研", "entry": "paper-topic-selector", "n_skills": 12, "n_packed": 12, "n_chains": 4, "chains": [ { "name": "full_paper", "steps": [ "paper-topic-selector", "lit-review", "experiment-runner?", "arch-diagram?", "neural-net-draw?", "latex-formatter", "self-reviewer?", "journal-adapt", "anti-defensive?", "ai-humanizer?", "tex-cleaner" ] }, { "name": "polish_only", "steps": [ "anti-defensive?", "ai-humanizer?", "tex-cleaner" ] }, { "name": "quick_draft", "steps": [ "paper-topic-selector", "lit-review", "latex-formatter", "self-reviewer", "tex-cleaner" ] }, { "name": "submit_ready", "steps": [ "self-reviewer", "journal-adapt", "tex-cleaner" ] } ] }, { "id": "ppt", "label": "ppt", "label_zh": "演示文稿", "entry": "ppt-builder", "n_skills": 1, "n_packed": 1, "n_chains": 1, "chains": [ { "name": "presentation", "steps": [ "ppt-builder" ] } ] }, { "id": "product", "label": "product", "label_zh": "产品管理", "entry": "skills/product/create-prd", "n_skills": 15, "n_packed": 15, "n_chains": 3, "chains": [ { "name": "discovery_to_roadmap", "steps": [ "stakeholder-map", "prioritization-frameworks", "outcome-roadmap" ] }, { "name": "prd_to_spec", "steps": [ "create-prd", "to-spec" ] }, { "name": "pricing_design", "steps": [ "pricing-and-packaging", "competitive-battlecard" ] } ] }, { "id": "programming", "label": "programming", "label_zh": "编程开发", "entry": "code-intent-planner", "n_skills": 145, "n_packed": 146, "n_chains": 21, "chains": [ { "name": "ad_attack_hunt", "steps": [ "detecting-dcsync-attack-in-active-directory", "hunting-for-lateral-movement-via-wmi" ] }, { "name": "agentic_dev_cycle", "steps": [ "brainstorming", "writing-plans", "executing-plans", "verification-before-completion" ] }, { "name": "api_design", "steps": [ "code-intent-planner", "api-design-reviewer", "api-test-suite-builder", "ship-gate" ] }, { "name": "bug_fix", "steps": [ "code-intent-planner", "deep-research?", "code-generator", "tdd-guide", "code-reviewer" ] }, { "name": "cloud_security_audit", "steps": [ "analyzing-azure-activity-logs-for-threats", "analyzing-kubernetes-audit-logs", "analyzing-sbom-for-supply-chain-vulnerabilities" ] }, { "name": "data_ml", "steps": [ "etl-builder", "feature-engineer", "ml-pipeline" ] }, { "name": "db_change", "steps": [ "database-designer", "migration-architect", "ship-gate" ] }, { "name": "debug_hotfix", "steps": [ "debug-diagnoser", "code-intent-planner", "code-generator", "code-reviewer", "ship-gate" ] }, { "name": "full_project", "steps": [ "code-intent-planner", "deep-research?", "code-generator", "tdd-guide", "code-reviewer", "dependency-auditor", "ci-cd-pipeline-builder", "ship-gate", "runbook-generator" ] }, { "name": "incident", "steps": [ "incident-commander", "runbook-generator", "code-intent-planner", "code-generator", "tdd-guide", "ship-gate" ] }, { "name": "infra_delivery", "steps": [ "docker-development", "helm-chart-builder", "kubernetes-operator", "terraform-patterns", "ship-gate" ] }, { "name": "language_standards", "steps": [ "typescript", "python", "go", "rust" ] }, { "name": "malware_triage", "steps": [ "analyzing-malware-behavior-with-cuckoo-sandbox", "analyzing-cobalt-strike-beacon-configuration", "analyzing-ransomware-encryption-mechanisms" ] }, { "name": "math_modeling", "steps": [ "model-formulator", "model-solver", "simulation-runner", "result-visualizer" ] }, { "name": "phishing_response", "steps": [ "analyzing-email-headers-for-phishing-investigation", "analyzing-network-traffic-with-wireshark" ] }, { "name": "release_audit", "steps": [ "tech-debt-tracker", "dependency-auditor", "env-secrets-manager", "ship-gate", "changelog-generator" ] }, { "name": "security_fix", "steps": [ "env-secrets-manager", "secrets-vault-manager", "code-intent-planner", "code-generator", "tdd-guide", "code-reviewer", "ship-gate" ] }, { "name": "security_forensics", "steps": [ "analyzing-linux-audit-logs-for-intrusion", "analyzing-security-logs-with-splunk", "analyzing-memory-dumps-with-volatility", "analyzing-threat-actor-ttps-with-mitre-attack" ] }, { "name": "sre_readiness", "steps": [ "slo-architect", "observability-designer", "runbook-generator", "incident-commander" ] }, { "name": "web_data_pipeline", "steps": [ "web-data-extractor", "etl-builder", "feature-engineer" ] }, { "name": "web_flow_test", "steps": [ "tdd-guide?", "webapp-flow-tester" ] } ] }, { "id": "tools", "label": "tools", "label_zh": "实用工具", "entry": "skills/tools/file-organizer", "n_skills": 6, "n_packed": 6, "n_chains": 3, "chains": [ { "name": "expense_filing", "steps": [ "invoice-organizer", "bank-statement-reconcile?" ] }, { "name": "messy_folder_cleanup", "steps": [ "file-organizer", "batch-renamer", "format-converter" ] }, { "name": "recurring_automation", "steps": [ "task-scheduler", "file-organizer?" ] } ] }, { "id": "video", "label": "video", "label_zh": "视频制作", "entry": "video-script-writer", "n_skills": 22, "n_packed": 21, "n_chains": 5, "chains": [ { "name": "code_video_production", "steps": [ "hyperframes", "hyperframes-animation", "hyperframes-audio" ] }, { "name": "meme", "steps": [ "video-script-writer", "image-generation", "music-generation", "video-editor", "video-subtitles", "video-thumbnail" ] }, { "name": "pre_production", "steps": [ "visual-style-anchor", "storyboard-designer", "shot-designer?", "motion-effects-designer?", "transition-designer?", "video-script-writer" ] }, { "name": "talking_character", "steps": [ "video-script-writer", "video-voice-synth", "video-lip-sync", "video-editor", "video-subtitles", "video-thumbnail" ] }, { "name": "tutorial", "steps": [ "video-script-writer", "video-voice-synth", "video-editor", "video-subtitles", "video-thumbnail" ] } ] }, { "id": "writing", "label": "writing", "label_zh": "内容写作", "entry": "article-outliner", "n_skills": 36, "n_packed": 35, "n_chains": 4, "chains": [ { "name": "article", "steps": [ "article-outliner", "article-drafter", "content-editor", "seo-optimizer", "image-generation", "cross-post-orchestrator" ] }, { "name": "de_ai_pipeline", "steps": [ "ai-trace-auditor", "humanize-rewriter", "personal-voice-profile" ] }, { "name": "news_flash", "steps": [ "article-outliner", "article-drafter", "content-editor", "seo-optimizer", "cross-post-orchestrator?" ] }, { "name": "wechat_longform_pipeline", "steps": [ "baoyu-format-markdown", "baoyu-cover-image", "baoyu-post-to-wechat" ] } ] } ], "groups": [ { "id": "software", "label": "软件开发", "label_en": "Software Engineering", "emoji": "🛠", "desc": "从需求到上线运维：写码、测试、评审、CI/CD、架构、数据库、安全、故障响应", "domains": [ "programming" ], "packs": [ "api-development", "architecture", "ci-cd", "code-planning", "code-review", "containers", "database", "github-workflow", "incident-response", "infrastructure", "performance", "security", "tdd", "web-ops", "engineering-playbook", "cloud-platforms", "hf-ml-hub", "scientific-agent-skills", "code-quality-pro", "cybersecurity-pro", "language-standards" ], "n_packs": 21, "n_skills": 146 }, { "id": "ai-agent", "label": "AI 与智能体", "label_en": "AI & Agents", "emoji": "🤖", "desc": "让 AI 会干活：提示词工艺、长期记忆、Agent 开发、技能锻造与检索", "domains": [ "chat", "memory", "meta" ], "packs": [ "ai-agent-development", "chat-prompt-craft", "memory-systems", "skill-forge", "caveman-toolkit" ], "n_packs": 5, "n_skills": 18 }, { "id": "content", "label": "内容与创意", "label_en": "Content & Creative", "emoji": "🎨", "desc": "写作、视频、音频、视觉设计，一路到 18 个内容平台发布", "domains": [ "audio", "design", "music", "video", "writing" ], "packs": [ "ai-media-toolkit", "ai-research-writing", "ai-video-pipeline", "audio-studio", "content-publishing", "de-ai-writing", "image-studio", "video-design-studio", "viral-entertainment", "visual-design-studio", "wechat-longform", "video-code", "creator-boosters" ], "n_packs": 13, "n_skills": 75 }, { "id": "data", "label": "数据与科研", "label_en": "Data & Research", "emoji": "📊", "desc": "数据清洗建模、可视化仪表盘、论文与科研全流程", "domains": [ "dataviz", "paper" ], "packs": [ "data-ml-science", "dataviz-studio" ], "n_packs": 2, "n_skills": 14 }, { "id": "office", "label": "办公与效率", "label_en": "Office & Productivity", "emoji": "🗂", "desc": "文档表格 PPT、知识库、团队工具集成（飞书/Notion/Jira）、职场沟通", "domains": [ "communication", "integrations", "knowledge", "office", "ppt", "tools" ], "packs": [ "communication-essentials", "feishu-suite", "knowledge-base", "office-productivity", "toolsmith", "workspace-integrations", "google-workspace" ], "n_packs": 7, "n_skills": 79 }, { "id": "business", "label": "商业与增长", "label_en": "Business & Growth", "emoji": "📈", "desc": "营销获客、电商运营、产品管理、销售客服、财务法务 HR —— 本轮扩容重点", "domains": [ "marketing", "product", "hr", "legal", "finance", "ops", "customer", "leadership" ], "packs": [ "growth-marketing", "knowledge-work", "cmo-suite", "product-management", "gtm-growth", "company-playbooks" ], "n_packs": 6, "n_skills": 76 }, { "id": "learning", "label": "学习与教育", "label_en": "Learning & Education", "emoji": "🎓", "desc": "课程与习题设计、作业辅导、以教代学", "domains": [ "education" ], "packs": [ "edu-craft", "homework-autopilot" ], "n_packs": 2, "n_skills": 6 }, { "id": "life", "label": "生活与个人", "label_en": "Life & Personal", "emoji": "🏠", "desc": "消费避坑、就医、租房、装修等生活决策", "domains": [ "life" ], "packs": [ "life-essentials" ], "n_packs": 1, "n_skills": 4 } ], "skills": [ { "name": "ad-angle-miner", "domain": "marketing", "path": "skills/marketing/gtm/ad-angle-miner", "file": "skills/marketing/gtm/ad-angle-miner/SKILL.md", "desc": "Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle.", "desc_zh": "从评论、Reddit 吐槽、工单与竞品广告里挖最高转化的广告角度与用户痛点原话。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/ad-angle-miner/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/ad-angle-miner/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/ad-angle-miner/SKILL.md" }, { "name": "ad-to-landing-page-auditor", "domain": "marketing", "path": "skills/marketing/gtm/ad-to-landing-page-auditor", "file": "skills/marketing/gtm/ad-to-landing-page-auditor/SKILL.md", "desc": "Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.", "desc_zh": "审计广告与落地页的信息一致性：广告承诺是否在落地页正文与标题中兑现。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/ad-to-landing-page-auditor/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/ad-to-landing-page-auditor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/ad-to-landing-page-auditor/SKILL.md" }, { "name": "agent-designer", "domain": "programming", "path": "skills/programming/workflow/agent-designer", "file": "skills/programming/workflow/agent-designer/SKILL.md", "desc": "Design multi-agent systems: pick an orchestration pattern (supervisor/swarm/pipeline/sequential/parallel/router/orchestrator/evaluator), scaffold a multi-step agent workflow config, compare single-agent vs multi-agent approaches, generate vendor tool schemas, and evaluate agent execution logs for cost, latency, and failure bottlenecks. Use when designing an AI agent, a multi-agent workflow, defining tools and roles, designing an agent architecture for research automation, scaffolding a content-pipeline workflow, generating Anthropic/OpenAI tool schemas, or analyzing agent run logs for bottlenecks. Do NOT use for scaffolding or writing the agent framework config files themselves.", "desc_zh": "设计多智能体系统：选择编排模式、搭建工作流、生成工具 schema 并分析运行日志。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/workflow/agent-designer/SKILL.md", "packs": [ "ai-agent-development" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/workflow/agent-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/workflow/agent-designer/SKILL.md" }, { "name": "agent-eval-harness", "domain": "meta", "path": "skills/meta/agent-eval-harness", "file": "skills/meta/agent-eval-harness/SKILL.md", "desc": "Quantify \"is the AI agent behaving correctly\" into a 0-100 score with a verifiable rubric, so you stop relying on gut feel when you ship an agent. Use when the user asks to evaluate an agent / score an agent / eval test cases / LLM behavior verification / regression test for agent behavior / prove the agent didn't degrade / agent evaluation harness. Do NOT use for writing the agent itself (use skill-author / webapp-e2e-harness) or for pure unit tests of code (use tdd-guide / api-test-suite-builder).", "desc_zh": "用可验证评分表把智能体行为量化成 0-100 分，支持评测用例与回归测试。", "license": "Apache-2.0", "compatibility": "Pure Python offline script (writes files only, no network requests); mode B LLM-as-judge only produces copyable review prompts, actual model calls are wired by user (credentials via env).", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/meta/agent-eval-harness/SKILL.md", "packs": [ "tdd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/agent-eval-harness/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/agent-eval-harness/SKILL.md" }, { "name": "agent-hierarchy", "domain": "leadership", "path": "skills/leadership/agent-hierarchy", "file": "skills/leadership/agent-hierarchy/SKILL.md", "desc": "Designs orchestrator-and-subagent hierarchies for a repository — splitting agents by exclusive write surface, pairing every producer with an independent auditor, and enforcing the split with a script that runs in CI. Use this whenever the user wants to set up, expand, audit, or fix a multi-agent or subagent structure for a codebase; asks how to divide work between agents; wants agent charters, roles, or a surface map written; or is hitting agents that collide on the same files, review their own work, or drift from their remit. Also use when sizing a roster or deciding whether a new agent is justified.", "desc_zh": "为仓库设计编排者-子代理层级：按独占写入面拆分代理，让产出者与独立校验者配对。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/agent-hierarchy/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/agent-hierarchy/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/agent-hierarchy/SKILL.md" }, { "name": "ai-baby-podcast", "domain": "video", "path": "skills/video/ai-baby-podcast", "file": "skills/video/ai-baby-podcast/SKILL.md", "desc": "Produce viral \"AI baby podcast / talking baby\" entertainment shorts: character design, script with adult-voice contrast, TTS audio, lip-sync generation, and platform-compliant publishing. Use when the user asks to make a baby podcast video / AI baby video / talking baby / baby podcast / baby streamer / funny AI-kid short video, or wants meme-style talking-character shorts. Do NOT use for real-child footage editing, deepfakes of real people, or news-style content presented as factual.", "desc_zh": "制作 AI 婴儿播客短视频：角色设计、脚本、配音、对口型与合规发布。", "license": "Apache-2.0", "compatibility": "Uses web creation tools (image gen, TTS, lip-sync) in a browser workflow; no local install needed.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/video/ai-baby-podcast/SKILL.md", "packs": [ "viral-entertainment" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/ai-baby-podcast/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/ai-baby-podcast/SKILL.md" }, { "name": "ai-humanizer", "domain": "paper", "path": "skills/paper/ai-humanizer", "file": "skills/paper/ai-humanizer/SKILL.md", "desc": "Strip AI-flavored writing from academic text on two axes: lexical tells (cliches like 'delve'/'leverage'/'state-of-the-art' spam, empty intensifiers, over-qualification, repetitive openers) AND structural tells (low sentence-length burstiness, consecutive same openers, low lexical diversity, repeated 5-grams), each hit located by line:col. Use when the user asks to remove AI flavor / reduce AI traces / de-cliche academic text / remove AI tone / humanize text / de-robot writing / lower AI-detection rate. Do NOT use for defensive/hedging tone (use anti-defensive) or pure LaTeX formatting (use latex-formatter).", "desc_zh": "去除学术文本的 AI 味：清理套话、空泛修饰、句式单调等词汇与结构痕迹。", "license": "Apache-2.0", "compatibility": "Stdlib only; requires python3; reads --text or --file, optional --report / --output.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/ai-humanizer/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/ai-humanizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/ai-humanizer/SKILL.md" }, { "name": "ai-trace-auditor", "domain": "writing", "path": "skills/writing/ai-trace-auditor", "file": "skills/writing/ai-trace-auditor/SKILL.md", "desc": "Audit a text for AI-writing fingerprints: scan built-in Chinese/English AI high-frequency word lists, measure sentence-length variance (std/mean), list/parallelism density and structural cliches, then report a 0-100 score with per-finding locations as machine-parseable JSON. Use when the user asks to detect AI flavor / AI-trace detection / check whether this reads like AI wrote it / AI-rate check / audit AI traces / detect AI writing / scan for AI style / de-AI check. Do NOT use as an official AI detector for academic-integrity arbitration — heuristic self-check only.", "desc_zh": "检测文本 AI 写作痕迹：扫描高频词表、统计句长变化，输出 0-100 分与定位 JSON。", "license": "Apache-2.0", "compatibility": "Needs Python 3.8+ (stdlib only) for scripts/trace_scanner.py; if Python is unavailable, degrade to the manual checklist and mark the report manual_mode.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/writing/ai-trace-auditor/SKILL.md", "packs": [ "de-ai-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/ai-trace-auditor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/ai-trace-auditor/SKILL.md" }, { "name": "analyzing-azure-activity-logs-for-threats", "domain": "programming", "path": "skills/programming/security/analyzing-azure-activity-logs-for-threats", "file": "skills/programming/security/analyzing-azure-activity-logs-for-threats/SKILL.md", "desc": "'Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query", "desc_zh": "查询 Azure Monitor 活动与登录日志，发现可疑管理操作、异地登录与提权行为。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-azure-activity-logs-for-threats/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-azure-activity-logs-for-threats/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-azure-activity-logs-for-threats/SKILL.md" }, { "name": "analyzing-cobalt-strike-beacon-configuration", "domain": "programming", "path": "skills/programming/security/analyzing-cobalt-strike-beacon-configuration", "file": "skills/programming/security/analyzing-cobalt-strike-beacon-configuration/SKILL.md", "desc": "Extract and analyze Cobalt Strike beacon configuration from PE files", "desc_zh": "从 PE 文件与内存镜像提取并分析 Cobalt Strike beacon 配置，识别 C2 设施与操作者指纹。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-cobalt-strike-beacon-configuration/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-cobalt-strike-beacon-configuration/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-cobalt-strike-beacon-configuration/SKILL.md" }, { "name": "analyzing-email-headers-for-phishing-investigation", "domain": "programming", "path": "skills/programming/security/analyzing-email-headers-for-phishing-investigation", "file": "skills/programming/security/analyzing-email-headers-for-phishing-investigation/SKILL.md", "desc": "Parse and analyze email headers (Received chain, Return-Path, Message-ID)", "desc_zh": "解析邮件头（Received / Return-Path / Message-ID）追踪钓鱼来源并校验 SPF / DKIM / DMARC。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-email-headers-for-phishing-investigation/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-email-headers-for-phishing-investigation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-email-headers-for-phishing-investigation/SKILL.md" }, { "name": "analyzing-kubernetes-audit-logs", "domain": "programming", "path": "skills/programming/security/analyzing-kubernetes-audit-logs", "file": "skills/programming/security/analyzing-kubernetes-audit-logs/SKILL.md", "desc": "Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '", "desc_zh": "解析 Kubernetes API 审计日志：发现 exec 进容器、密钥读取、RBAC 变更与特权 Pod 等威胁。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-kubernetes-audit-logs/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-kubernetes-audit-logs/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-kubernetes-audit-logs/SKILL.md" }, { "name": "analyzing-linux-audit-logs-for-intrusion", "domain": "programming", "path": "skills/programming/security/analyzing-linux-audit-logs-for-intrusion", "file": "skills/programming/security/analyzing-linux-audit-logs-for-intrusion/SKILL.md", "desc": "'Uses the Linux Audit framework (auditd) with ausearch and aureport utilities", "desc_zh": "用 auditd / ausearch / aureport 分析 Linux 审计日志，发现入侵、越权与可疑系统活动。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-linux-audit-logs-for-intrusion/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-linux-audit-logs-for-intrusion/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-linux-audit-logs-for-intrusion/SKILL.md" }, { "name": "analyzing-malware-behavior-with-cuckoo-sandbox", "domain": "programming", "path": "skills/programming/security/analyzing-malware-behavior-with-cuckoo-sandbox", "file": "skills/programming/security/analyzing-malware-behavior-with-cuckoo-sandbox/SKILL.md", "desc": "'Detonate malware samples in Cuckoo Sandbox to observe runtime behavior", "desc_zh": "在 Cuckoo 沙箱引爆恶意样本，观察进程、文件、注册表与网络行为。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-malware-behavior-with-cuckoo-sandbox/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-malware-behavior-with-cuckoo-sandbox/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-malware-behavior-with-cuckoo-sandbox/SKILL.md" }, { "name": "analyzing-memory-dumps-with-volatility", "domain": "programming", "path": "skills/programming/security/analyzing-memory-dumps-with-volatility", "file": "skills/programming/security/analyzing-memory-dumps-with-volatility/SKILL.md", "desc": "'Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes,", "desc_zh": "用 Volatility 分析内存镜像：定位恶意进程、注入代码、网络连接与内核痕迹。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-memory-dumps-with-volatility/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-memory-dumps-with-volatility/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-memory-dumps-with-volatility/SKILL.md" }, { "name": "analyzing-network-traffic-with-wireshark", "domain": "programming", "path": "skills/programming/security/analyzing-network-traffic-with-wireshark", "file": "skills/programming/security/analyzing-network-traffic-with-wireshark/SKILL.md", "desc": "'Captures and analyzes network packet data using Wireshark and tshark", "desc_zh": "用 Wireshark / tshark 分析抓包：识别恶意流量、诊断协议问题、提取取证物。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-network-traffic-with-wireshark/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-network-traffic-with-wireshark/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-network-traffic-with-wireshark/SKILL.md" }, { "name": "analyzing-ransomware-encryption-mechanisms", "domain": "programming", "path": "skills/programming/security/analyzing-ransomware-encryption-mechanisms", "file": "skills/programming/security/analyzing-ransomware-encryption-mechanisms/SKILL.md", "desc": "'Analyzes encryption algorithms, key management, and file encryption", "desc_zh": "分析勒索软件的加密算法与密钥管理，评估解密可行性并识别家族特征。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-ransomware-encryption-mechanisms/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-ransomware-encryption-mechanisms/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-ransomware-encryption-mechanisms/SKILL.md" }, { "name": "analyzing-sbom-for-supply-chain-vulnerabilities", "domain": "programming", "path": "skills/programming/security/analyzing-sbom-for-supply-chain-vulnerabilities", "file": "skills/programming/security/analyzing-sbom-for-supply-chain-vulnerabilities/SKILL.md", "desc": "'Parses Software Bill of Materials (SBOM) in CycloneDX and SPDX JSON", "desc_zh": "解析 CycloneDX / SPDX 格式 SBOM，关联 CVE 排查供应链组件漏洞。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-sbom-for-supply-chain-vulnerabilities/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-sbom-for-supply-chain-vulnerabilities/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-sbom-for-supply-chain-vulnerabilities/SKILL.md" }, { "name": "analyzing-security-logs-with-splunk", "domain": "programming", "path": "skills/programming/security/analyzing-security-logs-with-splunk", "file": "skills/programming/security/analyzing-security-logs-with-splunk/SKILL.md", "desc": "'Leverages Splunk Enterprise Security and SPL (Search Processing Language)", "desc_zh": "用 Splunk 与 SPL 做安全日志关联、时间线重建与事件调查。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-security-logs-with-splunk/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-security-logs-with-splunk/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-security-logs-with-splunk/SKILL.md" }, { "name": "analyzing-threat-actor-ttps-with-mitre-attack", "domain": "programming", "path": "skills/programming/security/analyzing-threat-actor-ttps-with-mitre-attack", "file": "skills/programming/security/analyzing-threat-actor-ttps-with-mitre-attack/SKILL.md", "desc": "Systematically map threat actor behavior and observed IOCs to the MITRE ATT&CK framework, build technique coverage heatmaps with the ATT&CK Navigator, identify detection gaps, and produce actionable threat intelligence reports across the Enterprise, Mobile, and ICS matrices. Use when analyzing threat actor TTPs, correlating IOCs to specific ATT&CK techniques, or assessing defensive detection coverage against adversary behavior.", "desc_zh": "把威胁行为与 IOC 系统映射到 MITRE ATT&CK，产出技术覆盖热图与攻击者画像。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/analyzing-threat-actor-ttps-with-mitre-attack/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/analyzing-threat-actor-ttps-with-mitre-attack/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/analyzing-threat-actor-ttps-with-mitre-attack/SKILL.md" }, { "name": "anti-defensive", "domain": "paper", "path": "skills/paper/anti-defensive", "file": "skills/paper/anti-defensive/SKILL.md", "desc": "Detect defensive academic writing and classify each hit as tighten vs retain: over-hedging (double 'may/might'), self-deprecating framing, vague attribution 'to the best of our knowledge', filler phrases — but hedges sitting next to statistical-uncertainty context (confidence interval / p-value / variance / sample size) are marked retain and never penalized. Reports hedge density per 100 words with line:col locations. Use when the user asks if the paper tone is too weak / remove defensive phrasing / strengthen statements / stop being so tentative / de-hedge text / make statements firmer / remove 'may possibly'. Do NOT use for removing AI-flavored cliches (use ai-humanizer) or LaTeX formatting (use latex-formatter).", "desc_zh": "识别学术写作的过度含糊与自我否定表达，给出保留或收紧建议及逐处定位。", "license": "Apache-2.0", "compatibility": "Stdlib only; requires python3; reads --text or --file, optional --output.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/anti-defensive/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/anti-defensive/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/anti-defensive/SKILL.md" }, { "name": "api-design-principles", "domain": "programming", "path": "skills/programming/quality/api-design-principles", "file": "skills/programming/quality/api-design-principles/SKILL.md", "desc": "Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.", "desc_zh": "掌握 REST 与 GraphQL API 设计原则，构建直观、可扩展、易维护的接口。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/api-design-principles/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/api-design-principles/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/api-design-principles/SKILL.md" }, { "name": "api-design-reviewer", "domain": "programming", "path": "skills/programming/api/api-design-reviewer", "file": "skills/programming/api/api-design-reviewer/SKILL.md", "desc": "Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing an API design, doing a REST endpoint design review, finding anti-patterns, reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team. Do NOT use for implementing API endpoints or generating client SDKs.", "desc_zh": "审查 REST API 设计：自动 lint、破坏性变更检测与设计评分卡，发现反模式。", "license": "Apache-2.0", "compatibility": "Requires network access. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "code-reviewer", "verified": "2026-09-09", "repo_file": "skills/programming/api/api-design-reviewer/SKILL.md", "packs": [ "api-development", "code-review" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/api/api-design-reviewer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/api/api-design-reviewer/SKILL.md" }, { "name": "api-test-suite-builder", "domain": "programming", "path": "skills/programming/api/api-test-suite-builder", "file": "skills/programming/api/api-test-suite-builder/SKILL.md", "desc": "Generate API tests and integration test suites by scanning route definitions across frameworks (Next.js App Router, Express, FastAPI, Django REST). Covers auth, input validation, error codes, pagination, file upload, and rate limiting. Use when the user asks to generate API tests, generate interface tests, write integration tests, build contract tests, test REST endpoints, or create integration test suites. Do NOT use for running the generated suites inside CI (it only generates them).", "desc_zh": "扫描路由生成 API 测试与集成测试套件，覆盖鉴权、校验、分页与限流。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "pipeline-builder", "verified": "2026-09-09", "repo_file": "skills/programming/api/api-test-suite-builder/SKILL.md", "packs": [ "api-development" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/api/api-test-suite-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/api/api-test-suite-builder/SKILL.md" }, { "name": "arch-diagram", "domain": "paper", "path": "skills/paper/arch-diagram", "file": "skills/paper/arch-diagram/SKILL.md", "desc": "Generate paper-style architecture/framework diagrams as compile-ready TikZ (LaTeX) plus well-formed editable SVG: pipelines with row/wrap/stack layouts, per-block colourblind-safe colours, automatic LaTeX/XML escaping. Use when the user asks to draw an architecture diagram / method overview figure / framework diagram / draw a flowchart / pipeline diagram / generate a methods-section figure / block diagram. Do NOT use for data charts (use pub-plotter) or neuron-level networks (use neural-net-draw).", "desc_zh": "生成论文风格架构图与流程图：可编译 TikZ(LaTeX) 与可编辑 SVG。", "license": "Apache-2.0", "compatibility": "Stdlib only; requires python3; outputs TikZ source and SVG, no LaTeX compile required.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/arch-diagram/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/arch-diagram/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/arch-diagram/SKILL.md" }, { "name": "archify", "domain": "design", "path": "skills/design/archify", "file": "skills/design/archify/SKILL.md", "desc": "Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.", "desc_zh": "创建架构、流程、时序与状态图等可交互 HTML/SVG 图表，支持多格式导出。", "license": "MIT", "compatibility": "纯提示型（含少量模板），任意支持 SKILL.md 的工具可用。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/design/archify/SKILL.md", "packs": [ "creator-boosters" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/archify/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/archify/SKILL.md" }, { "name": "archify-review", "domain": "design", "path": "skills/design/archify-review", "file": "skills/design/archify-review/SKILL.md", "desc": "Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.", "desc_zh": "从价值、成本与影响维度审查 Archify 的 issue、PR 与代码质量。", "license": "MIT", "compatibility": "纯提示型（含少量模板），任意支持 SKILL.md 的工具可用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/design/archify-review/SKILL.md", "packs": [ "creator-boosters" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/archify-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/archify-review/SKILL.md" }, { "name": "architecture-patterns", "domain": "programming", "path": "skills/programming/quality/architecture-patterns", "file": "skills/programming/quality/architecture-patterns/SKILL.md", "desc": "Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.", "desc_zh": "实现后端架构模式：整洁架构、六边形架构与领域驱动设计 DDD。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/architecture-patterns/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/architecture-patterns/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/architecture-patterns/SKILL.md" }, { "name": "article-drafter", "domain": "writing", "path": "skills/writing/article-drafter", "file": "skills/writing/article-drafter/SKILL.md", "desc": "Generate an article first draft from an approved outline. Fills in each section with prose based on key points, audience level, and style. Use after the outline is approved, before editing/SEO, e.g. writing a first article draft / drafting the body / help me write this / expand the outline into an article. Also triggers on body drafting / write first draft / expand outline / draft article / write first draft. Do NOT use for publishing the finished draft to platforms, or for building the outline itself (use article-outliner).", "desc_zh": "根据已定大纲生成文章初稿，按要点、读者层次与风格填充正文。", "license": "Apache-2.0", "compatibility": "Pure prompt-based drafting; LLM generates prose. Optional helper scripts/drafter.py requires Python 3.8+ (stdlib only). No API keys required.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/writing/article-drafter/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/article-drafter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/article-drafter/SKILL.md" }, { "name": "article-outliner", "domain": "writing", "path": "skills/writing/article-outliner", "file": "skills/writing/article-outliner/SKILL.md", "desc": "Create article outlines: structure, section hierarchy, key points, and reading flow. Supports blog posts, technical articles, news, listicles, and opinion pieces. Also audits an existing draft's structure with reverse outlining, and de-duplicates listicle entries (MECE check). Use when the topic is defined but structure is needed before drafting, e.g. building an article outline / listing an outline / planning structure / help me organize the article framework / check whether the article structure has problems. Do NOT use for writing full prose (outline only — use article-drafter for that), nor for line-level editing of a finished draft (use content-editor).", "desc_zh": "创建文章大纲：结构层级、要点与阅读流，支持博客、技术文与新闻等。", "license": "Apache-2.0", "compatibility": "Pure prompt-based structuring. Optional scripts/outliner.py is a deterministic skeleton generator (Python 3.8+, stdlib only) — it emits template headings and field scaffolding, NOT content; the real outlining work happens in prompt mode. No API keys required.", "version": "2.0", "tier": "standard", "pattern": "dual-mode", "verified": "2026-09-22", "repo_file": "skills/writing/article-outliner/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/article-outliner/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/article-outliner/SKILL.md" }, { "name": "assignment-intake", "domain": "education", "path": "skills/education/assignment-intake", "file": "skills/education/assignment-intake/SKILL.md", "desc": "Parse a homework assignment into a machine-usable assignment-plan JSON: identify the type via a 9-type decision table (essay / diary / reading response / math / english writing / handmade poster / slides / survey report / lab report), extract hard requirements (word count, format, deadline, must-include, forbidden items) with per-item evidence, map scoring dimensions, and list the personal materials the student must supply. Entry point of the homework-autopilot chain; output feeds solution-drafter. Use when the user asks for assignment intake / homework analysis / parse assignment requirements / break down homework / solve homework. Do NOT use during live exams or quizzes, nor for pure tutoring questions without a graded deliverable.", "desc_zh": "解析作业要求为结构化 JSON：识别类型、提取硬性要求与评分维度。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/education/assignment-intake/SKILL.md", "packs": [ "homework-autopilot" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/education/assignment-intake/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/education/assignment-intake/SKILL.md" }, { "name": "audit-support", "domain": "finance", "path": "skills/finance/audit-support", "file": "skills/finance/audit-support/SKILL.md", "desc": "Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.", "desc_zh": "支持 SOX 404 合规：控制测试方法、抽样选择与底稿文档标准。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/finance/audit-support/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/finance/audit-support/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/finance/audit-support/SKILL.md" }, { "name": "auth-implementation-patterns", "domain": "programming", "path": "skills/programming/quality/auth-implementation-patterns", "file": "skills/programming/quality/auth-implementation-patterns/SKILL.md", "desc": "Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.", "desc_zh": "掌握鉴权与授权模式：JWT、OAuth2、会话管理与 RBAC 权限控制。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/auth-implementation-patterns/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/auth-implementation-patterns/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/auth-implementation-patterns/SKILL.md" }, { "name": "azure-ai", "domain": "programming", "path": "skills/programming/cloud/azure-ai", "file": "skills/programming/cloud/azure-ai/SKILL.md", "desc": "Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.", "desc_zh": "Azure AI 服务：搜索、语音、OpenAI 与文档智能，含 OCR 与语音转写。", "license": "MIT", "compatibility": "需要 Azure CLI / azd 与有效订阅；命令默认先预览，写操作需显式确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/azure-ai/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/azure-ai/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/azure-ai/SKILL.md" }, { "name": "azure-compute", "domain": "programming", "path": "skills/programming/cloud/azure-compute", "file": "skills/programming/cloud/azure-compute/SKILL.md", "desc": "Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.", "desc_zh": "Azure 虚拟机与 VMSS：选型、定价、扩缩容、GPU/HPC 与容量预留。", "license": "MIT", "compatibility": "需要 Azure CLI / azd 与有效订阅；命令默认先预览，写操作需显式确认。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/azure-compute/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/azure-compute/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/azure-compute/SKILL.md" }, { "name": "azure-deploy", "domain": "programming", "path": "skills/programming/cloud/azure-deploy", "file": "skills/programming/cloud/azure-deploy/SKILL.md", "desc": "Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: \\\"run azd up\\\", \\\"run azd deploy\\\", \\\"execute deployment\\\", \\\"push to production\\\", \\\"push to cloud\\\", \\\"go live\\\", \\\"ship it\\\", \\\"bicep deploy\\\", \\\"terraform apply\\\", \\\"publish to Azure\\\", \\\"launch on Azure\\\". DO NOT USE WHEN: \\\"create and deploy\\\", \\\"build and deploy\\\", \\\"create a new app\\\", \\\"set up infrastructure\\\", \\\"create and deploy to Azure using Terraform\\\" — use azure-prepare for these.", "desc_zh": "为已准备就绪的应用执行 Azure 部署：azd、Terraform 与 bicep 上线。", "license": "MIT", "compatibility": "需要 Azure CLI / azd 与有效订阅；命令默认先预览，写操作需显式确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/azure-deploy/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/azure-deploy/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/azure-deploy/SKILL.md" }, { "name": "azure-messaging", "domain": "programming", "path": "skills/programming/cloud/azure-messaging", "file": "skills/programming/cloud/azure-messaging/SKILL.md", "desc": "Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. WHEN: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event processor host issue, message lock lost, message lock expired, lock renewal, lock renewal batch, send timeout, receiver disconnected, SDK troubleshooting, azure messaging SDK, event hub consumer, service bus queue issue, topic subscription error, enable logging event hub, service bus logging, eventhub python, servicebus java, eventhub javascript, servicebus dotnet, event hub checkpoint, event hub not receiving messages, service bus dead letter, batch processing lock, session lock expired, idle timeout, connection inactive, link detach, slow reconnect, session error, duplicate events, offset reset, receive batch.", "desc_zh": "排查 Azure 消息 SDK 问题：Event Hubs 与 Service Bus 连接、锁与收发错误。", "license": "MIT", "compatibility": "需要 Azure CLI / azd 与有效订阅；命令默认先预览，写操作需显式确认。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/azure-messaging/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/azure-messaging/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/azure-messaging/SKILL.md" }, { "name": "azure-storage", "domain": "programming", "path": "skills/programming/cloud/azure-storage", "file": "skills/programming/cloud/azure-storage/SKILL.md", "desc": "Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).", "desc_zh": "Azure 存储服务：Blob、文件共享、队列、表与 Data Lake，含访问层选择。", "license": "MIT", "compatibility": "需要 Azure CLI / azd 与有效订阅；命令默认先预览，写操作需显式确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/azure-storage/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/azure-storage/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/azure-storage/SKILL.md" }, { "name": "baijiahao-publisher", "domain": "writing", "path": "skills/writing/news/baijiahao-publisher", "file": "skills/writing/news/baijiahao-publisher/SKILL.md", "desc": "Helps adapt and write platform-native articles for Baijiahao (Baijiahao), Baidu's content platform. Produces Baijiahao-style headlines, body copy, images, and tags optimized for Baidu search and the Baijiahao feed. Use when the user asks for Baijiahao content, Baijiahao article, baijiahao article, baijiahao adaptation, platform-specific content for baijiahao, or publish to Baijiahao. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为百家号改写平台化文章：标题、正文、配图与标签，适配百度搜索与推荐。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/news/baijiahao-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/news/baijiahao-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/news/baijiahao-publisher/SKILL.md" }, { "name": "bank-statement-reconcile", "domain": "tools", "path": "skills/tools/bank-statement-reconcile", "file": "skills/tools/bank-statement-reconcile/SKILL.md", "desc": "Reconcile a bank/credit-card statement CSV against a billing/expense CSV: match transactions by amount + month + optional counterparty, then hand the human three lists (matched / only-in-statement / only-in-billing). Use when the user asks to reconcile statements / match transactions / find missing entries / bank statement vs billing / transaction reconciliation / account matching. Do NOT use for importing from a bank account (no network/credentials here) or for accounting journal entries (this is matching, not bookkeeping).", "desc_zh": "对账银行/信用卡流水与账单 CSV：按金额、月份匹配并列出差异清单。", "license": "Apache-2.0", "compatibility": "Pure local CSV; no network, no bank connection; default dry-run; matching is heuristic (amount + month + counterparty), unmatched items require human review.", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/tools/bank-statement-reconcile/SKILL.md", "packs": [ "toolsmith" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/tools/bank-statement-reconcile/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/tools/bank-statement-reconcile/SKILL.md" }, { "name": "baoyu-article-illustrator", "domain": "writing", "path": "skills/writing/baoyu-article-illustrator", "file": "skills/writing/baoyu-article-illustrator/SKILL.md", "desc": "Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach. Use when user asks to \"illustrate article\", \"add images\", \"generate images for article\", or \"为文章配图\".", "desc_zh": "分析文章结构、定位配图位置，用「类型 × 风格 × 配色」三维方法生成插图。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-article-illustrator/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-article-illustrator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-article-illustrator/SKILL.md" }, { "name": "baoyu-cover-image", "domain": "writing", "path": "skills/writing/baoyu-cover-image", "file": "skills/writing/baoyu-cover-image/SKILL.md", "desc": "Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to \"generate cover image\", \"create article cover\", or \"make cover\".", "desc_zh": "生成文章封面图：11 种配色与 7 种渲染风格，支持多种画幅比例。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-cover-image/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-cover-image/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-cover-image/SKILL.md" }, { "name": "baoyu-format-markdown", "domain": "writing", "path": "skills/writing/baoyu-format-markdown", "file": "skills/writing/baoyu-format-markdown/SKILL.md", "desc": "Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to \"format markdown\", \"beautify article\", \"add formatting\", or improve article layout. Outputs to {filename}-formatted.md.", "desc_zh": "整理 Markdown 或纯文本：添加 frontmatter、标题、摘要、列表与代码块。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-format-markdown/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-format-markdown/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-format-markdown/SKILL.md" }, { "name": "baoyu-infographic", "domain": "writing", "path": "skills/writing/baoyu-infographic", "file": "skills/writing/baoyu-infographic/SKILL.md", "desc": "Generate professional infographics with 21 layout types and 22 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create \"infographic\", \"信息图\", \"visual summary\", \"可视化\", or \"高密度信息大图\".", "desc_zh": "生成专业信息图：21 种版式 × 22 种视觉风格，自动推荐组合并产出可发布成品。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-infographic/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-infographic/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-infographic/SKILL.md" }, { "name": "baoyu-markdown-to-html", "domain": "writing", "path": "skills/writing/baoyu-markdown-to-html", "file": "skills/writing/baoyu-markdown-to-html/SKILL.md", "desc": "Converts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, Mermaid (rendered to PNG via headless Chrome), PlantUML, footnotes, alerts, infographics, and optional bottom citations for external links. Use when user asks for \"markdown to html\", \"convert md to html\", \"md 转 html\", \"微信外链转底部引用\", or needs styled HTML output from markdown.", "desc_zh": "把 Markdown 转成微信兼容主题的样式化 HTML（代码高亮、数学、Mermaid、PlantUML、脚注等）。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-markdown-to-html/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-markdown-to-html/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-markdown-to-html/SKILL.md" }, { "name": "baoyu-post-to-wechat", "domain": "writing", "path": "skills/writing/baoyu-post-to-wechat", "file": "skills/writing/baoyu-post-to-wechat/SKILL.md", "desc": "Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Markdown article workflows default to converting ordinary external links into bottom citations for WeChat-friendly output. Use when user mentions \"发布公众号\", \"post to wechat\", \"微信公众号\", or \"贴图/图文/文章\".", "desc_zh": "把内容发布到微信公众号（API 或 Chrome CDP）：支持文章与贴图，Markdown 自动排版。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-post-to-wechat/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-post-to-wechat/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-post-to-wechat/SKILL.md" }, { "name": "baoyu-slide-deck", "domain": "writing", "path": "skills/writing/baoyu-slide-deck", "file": "skills/writing/baoyu-slide-deck/SKILL.md", "desc": "Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to \"create slides\", \"make a presentation\", \"generate deck\", \"slide deck\", or \"PPT\".", "desc_zh": "根据内容生成专业幻灯片图片：先出带风格说明的大纲，再逐页出图。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-slide-deck/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-slide-deck/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-slide-deck/SKILL.md" }, { "name": "baoyu-translate", "domain": "writing", "path": "skills/writing/baoyu-translate", "file": "skills/writing/baoyu-translate/SKILL.md", "desc": "This skill should be used when the user asks to \"translate\", \"翻译\", \"精翻\", \"translate article\", \"translate to Chinese\", \"translate to English\", \"改成中文\", \"改成英文\", \"convert to Chinese\", \"localize\", \"本地化\", \"refined translation\", \"精细翻译\", \"proofread translation\", \"快速翻译\", \"快翻\", \"这篇文章翻译一下\", or provides a URL/file with translation intent. Supports three modes (quick/normal/refined) with custom glossary support.", "desc_zh": "精细翻译工作流：中英互译与本地化，分块翻译并保持术语一致。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-translate/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-translate/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-translate/SKILL.md" }, { "name": "baoyu-wechat-summary", "domain": "writing", "path": "skills/writing/baoyu-wechat-summary", "file": "skills/writing/baoyu-wechat-summary/SKILL.md", "desc": "Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to \"总结群聊\", \"群聊精华\", \"群聊摘要\", \"summarize group chat\", \"group chat digest\", mentions a WeChat group name with a time range, says \"帮我看看 XX 群最近聊了什么\", \"XX 群有什么值得看的\", or asks to \"回溯画像\" / \"初始化画像\" / \"backfill profiles\". Adds the roast version when the user says \"毒舌版\", \"roast 版\", \"再来个毒舌的\", or similar.", "desc_zh": "用本地 wx-cli 把微信群聊亮点总结成结构化纪要（可选毒舌版，按群维护历史）。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-wechat-summary/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-wechat-summary/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-wechat-summary/SKILL.md" }, { "name": "baoyu-xhs-images", "domain": "writing", "path": "skills/writing/baoyu-xhs-images", "file": "skills/writing/baoyu-xhs-images/SKILL.md", "desc": "Generates infographic image card series with 12 visual styles, 8 layouts, and 3 color palettes. Breaks content into 1-10 cartoon-style image cards optimized for social media engagement. Use when user mentions \"小红书图片\", \"小红书种草\", \"小绿书\", \"微信图文\", \"微信贴图\", \"image cards\", \"图片卡片\", baoyu-xhs-images, or wants social media infographic series.", "desc_zh": "生成小红书图文卡片系列：12 种风格、8 种版式、3 套配色，把内容拆成 1–10 张卡片。", "license": "MIT", "compatibility": "需要网络与对应平台凭据（微信公众号 API / Chrome CDP 等）；发布类操作先预览再确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/writing/baoyu-xhs-images/SKILL.md", "packs": [ "wechat-longform" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/baoyu-xhs-images/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/baoyu-xhs-images/SKILL.md" }, { "name": "bash-scripting", "domain": "programming", "path": "skills/programming/standards/bash-scripting", "file": "skills/programming/standards/bash-scripting/SKILL.md", "desc": "Bash scripting guidelines covering security, portability, error handling, and automation best practices for DevOps.", "desc_zh": "Bash 脚本规范：安全、可移植、错误处理与自动化。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/bash-scripting/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/bash-scripting/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/bash-scripting/SKILL.md" }, { "name": "batch-renamer", "domain": "tools", "path": "skills/tools/batch-renamer", "file": "skills/tools/batch-renamer/SKILL.md", "desc": "Batch-rename files with a preview-first contract: template patterns, regex substitution, prefix/suffix, case folding, and EXIF-shooting-date prefixes, plus a JSON change log for one-command rollback. Use when the user asks to batch rename / rename files / rename photos by date / regex replace filenames / strip prefix from filenames / file renaming utility / batch processing. Do NOT use for moving or sorting files into folders, editing file contents, or renaming directories.", "desc_zh": "批量重命名文件：模板、正则替换、前后缀与 EXIF 日期，支持预览与回滚。", "license": "Apache-2.0", "compatibility": "Python 3.8+; stdlib for all modes. EXIF date mode additionally uses Pillow (optional, falls back to file mtime if absent). Preview is the default; disk writes require the --yes flag.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/tools/batch-renamer/SKILL.md", "packs": [ "toolsmith" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/tools/batch-renamer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/tools/batch-renamer/SKILL.md" }, { "name": "battlecard-generator", "domain": "marketing", "path": "skills/marketing/gtm/battlecard-generator", "file": "skills/marketing/gtm/battlecard-generator/SKILL.md", "desc": "Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes. Chains web research, review mining, and ad intelligence. Use when sales needs competitive ammo or when entering a new market with established incumbents.", "desc_zh": "跨官网、评价、广告、社媒与定价研究竞品，产出结构化销售对战卡。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/battlecard-generator/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/battlecard-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/battlecard-generator/SKILL.md" }, { "name": "bilibili-publisher", "domain": "writing", "path": "skills/writing/video/bilibili-publisher", "file": "skills/writing/video/bilibili-publisher/SKILL.md", "desc": "Helps adapt and write platform-native text for Bilibili (Bilibili): video titles, descriptions, tags, cover/intro copy, short dynamic posts (dynamic post), and Bilibili column articles (column). Produces Bilibili-style metadata, danmu-friendly hooks, and the Markdown for Bilibili's in-house article editor. Use when the user asks for Bilibili content, bilibili video description, Bilibili column article, bilibili dynamic post, bilibili adaptation, platform-specific content for bilibili, or publish to Bilibili. Do NOT use for upload automation, cookie scripts, or other platforms.", "desc_zh": "为 B 站改写平台化文案：视频标题、简介、标签、动态与专栏文章。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/video/bilibili-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/video/bilibili-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/video/bilibili-publisher/SKILL.md" }, { "name": "brainstorming", "domain": "programming", "path": "skills/programming/methodology/brainstorming", "file": "skills/programming/methodology/brainstorming/SKILL.md", "desc": "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.", "desc_zh": "在动手实现前探索用户意图、需求与设计，用于新功能、组件或行为变更。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/brainstorming/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/brainstorming/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/brainstorming/SKILL.md" }, { "name": "brand-voice-extractor", "domain": "marketing", "path": "skills/marketing/gtm/brand-voice-extractor", "file": "skills/marketing/gtm/brand-voice-extractor/SKILL.md", "desc": "Analyze a company's published content to extract their brand voice, writing style, and tone guidelines. Reads 10-20 of their best content pieces and produces a brand voice profile covering tone, vocabulary level, sentence structure, formatting patterns, CTAs, and target persona. Useful before writing outreach, content, or campaigns that should match a client's existing voice.", "desc_zh": "从公开发布内容中提取品牌语气、文风与用语规范，产出可复用的声线指南。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/brand-voice-extractor/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/brand-voice-extractor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/brand-voice-extractor/SKILL.md" }, { "name": "business-continuity-and-resilience", "domain": "ops", "path": "skills/ops/business-continuity-and-resilience", "file": "skills/ops/business-continuity-and-resilience/SKILL.md", "desc": "Plans for operating through disruption — impact analysis, recovery objectives, continuity plans, and the exercises that prove they work. Use this to run a business impact analysis, set RTO and RPO, write or test a continuity plan, prepare for a supplier or site failure, or answer a customer's resilience questionnaire.", "desc_zh": "业务连续性规划：影响分析、恢复目标、连续性预案与演练验证。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/business-continuity-and-resilience/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/business-continuity-and-resilience/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/business-continuity-and-resilience/SKILL.md" }, { "name": "c-sharp", "domain": "programming", "path": "skills/programming/standards/c-sharp", "file": "skills/programming/standards/c-sharp/SKILL.md", "desc": "Guidelines for C# development including Blazor, Unity game development, and .NET backend best practices", "desc_zh": "C# 开发规范：Blazor、Unity 与 .NET 后端实践。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/c-sharp/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/c-sharp/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/c-sharp/SKILL.md" }, { "name": "campaign-brief-generator", "domain": "marketing", "path": "skills/marketing/gtm/campaign-brief-generator", "file": "skills/marketing/gtm/campaign-brief-generator/SKILL.md", "desc": "Generate a complete marketing campaign brief from a launch goal, ICP, and product context. Pure reasoning skill. Outputs channel plan, messaging angles, content types, timeline, and success metrics. Designed for seed/Series A founders and small GTM teams who aren't professional marketers but need to run focused campaigns. No scripts — pure reasoning.", "desc_zh": "从发布目标、ICP 与产品信息生成完整营销战役简报：渠道计划、信息角度与节奏。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/campaign-brief-generator/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/campaign-brief-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/campaign-brief-generator/SKILL.md" }, { "name": "campaign-designer", "domain": "marketing", "path": "skills/marketing/campaign-designer", "file": "skills/marketing/campaign-designer/SKILL.md", "desc": "Design an e-commerce/growth marketing campaign around finished product copy: marketing-calendar placement (festival nodes vs everyday), channel matrix with roles per channel, and single-variable A/B variant pairs (one change per pair, hypothesis stated). Reads copy from product-copywriter, hands variant matrix to channel-adapter. Use when the user asks to plan a campaign / marketing calendar / ad plan / A/B test / campaign / channel matrix / marketing campaign / growth / content marketing / conversion. Do NOT use for writing the base copy itself (product-copywriter), nor for per-platform reformatting (channel-adapter).", "desc_zh": "设计电商与增长营销活动：营销日历、渠道矩阵与单变量 A/B 测试方案。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/marketing/campaign-designer/SKILL.md", "packs": [ "growth-marketing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/campaign-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/campaign-designer/SKILL.md" }, { "name": "car-purchase-maintenance", "domain": "life", "path": "skills/life/car-purchase-maintenance", "file": "skills/life/car-purchase-maintenance/SKILL.md", "desc": "Use when the user is buying a car (new or used), negotiating price, doing delivery inspection, or planning maintenance. Triggers: car buying, price negotiation, delivery inspection, maintenance schedule, used car check, dealer tricks, first service, oil change interval. Do NOT use for mechanical diagnosis (take the car to a licensed mechanic), insurance claims, or investment / financing advice beyond reading a loan contract.", "desc_zh": "买车与养车指南：比价议价、提车验车与保养计划，含二手车检查。", "license": "Apache-2.0", "compatibility": "Pure prompt skill, no scripts.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-25", "repo_file": "skills/life/car-purchase-maintenance/SKILL.md", "packs": [ "life-essentials" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/life/car-purchase-maintenance/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/life/car-purchase-maintenance/SKILL.md" }, { "name": "career-ops-lite", "domain": "office", "path": "skills/office/career-ops-lite", "file": "skills/office/career-ops-lite/SKILL.md", "desc": "Score a job posting against your resume (per-requirement A-F grades + a 0-5 holistic score), then draft a tailored cover-letter block and a tracker entry. Offline, human-in-the-loop: it evaluates and drafts, it never submits. Use when the user asks to evaluate a job posting / should I apply / job match / tailor resume / career pipeline / track applications / ATS fit / cover letter draft. Do NOT use for scraping job portals or auto-applying (out of scope + compliance); this is scoring + drafting only.", "desc_zh": "按简历给职位打分并生成定制求职信与申请追踪记录，仅评估不代投。", "license": "Apache-2.0", "compatibility": "Plain text + Python offline; no network, no Playwright; scoring is heuristic word matching, final judgment stays with the human", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/office/career-ops-lite/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/career-ops-lite/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/career-ops-lite/SKILL.md" }, { "name": "cavecrew", "domain": "meta", "path": "skills/meta/cavecrew", "file": "skills/meta/cavecrew/SKILL.md", "desc": "When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is compressed, so main context lasts longer.", "desc_zh": "何时把任务委派给 cavecrew 三件套：定位代码的调查员、1-2 文件改动的建造者、diff 评审者。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/cavecrew/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/cavecrew/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/cavecrew/SKILL.md" }, { "name": "caveman", "domain": "meta", "path": "skills/meta/caveman", "file": "skills/meta/caveman/SKILL.md", "desc": "Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, \"caveman mode\", \"talk like caveman\", \"be brief\" or \"less tokens\".", "desc_zh": "超压缩沟通模式：输出砍掉冗词但技术信息不变，支持 lite/full/ultra 与文言档位，用于省 token 的简洁回复。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/caveman/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/caveman/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/caveman/SKILL.md" }, { "name": "caveman-commit", "domain": "meta", "path": "skills/meta/caveman-commit", "file": "skills/meta/caveman-commit/SKILL.md", "desc": "Write a Conventional Commits message compressed to intent only. Use for \"write a commit\", \"commit message\", /commit or /caveman-commit.", "desc_zh": "把提交信息压到只剩意图的 Conventional Commits 写法；触发于写 commit message、/commit。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/caveman-commit/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/caveman-commit/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/caveman-commit/SKILL.md" }, { "name": "caveman-compress", "domain": "meta", "path": "skills/meta/caveman-compress", "file": "skills/meta/caveman-compress/SKILL.md", "desc": "Compress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup. Trigger: /caveman-compress.", "desc_zh": "把记忆文件（如 CLAUDE.md、todo 清单）压缩成 caveman 格式省输入 token，并保留可读备份。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/caveman-compress/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/caveman-compress/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/caveman-compress/SKILL.md" }, { "name": "caveman-help", "domain": "meta", "path": "skills/meta/caveman-help", "file": "skills/meta/caveman-help/SKILL.md", "desc": "Quick-reference card for caveman modes, skills and commands. Trigger: /caveman-help or \"caveman help\".", "desc_zh": "caveman 模式、技能与命令的速查卡；触发于 /caveman-help 或「caveman help」。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/caveman-help/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/caveman-help/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/caveman-help/SKILL.md" }, { "name": "caveman-review", "domain": "meta", "path": "skills/meta/caveman-review", "file": "skills/meta/caveman-review/SKILL.md", "desc": "Compressed code review - one line per finding with location, problem and fix. Use for /caveman-review, \"review this PR\", or \"review the diff\".", "desc_zh": "压缩版代码评审：每条发现一行，给出位置、问题与修复；触发于 review PR / review diff。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/caveman-review/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/caveman-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/caveman-review/SKILL.md" }, { "name": "caveman-stats", "domain": "meta", "path": "skills/meta/caveman-stats", "file": "skills/meta/caveman-stats/SKILL.md", "desc": "Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.", "desc_zh": "查看当前会话记录的输出与缓存读取 token 用量及模式归属，或定位宿主的原生用量报告。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；caveman-stats / caveman-compress 的 CLI 能力依赖上游 caveman 安装。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/meta/caveman-stats/SKILL.md", "packs": [ "caveman-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/caveman-stats/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/caveman-stats/SKILL.md" }, { "name": "ceo-advisor", "domain": "leadership", "path": "skills/leadership/ceo-advisor", "file": "skills/leadership/ceo-advisor/SKILL.md", "desc": "Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, fundraising, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.", "desc_zh": "CEO 级战略建议：战略决策、组织发展与董事会及投资人沟通。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/ceo-advisor/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/ceo-advisor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/ceo-advisor/SKILL.md" }, { "name": "cfo-advisor", "domain": "leadership", "path": "skills/leadership/cfo-advisor", "file": "skills/leadership/cfo-advisor/SKILL.md", "desc": "Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial strategy.", "desc_zh": "CFO 财务建议：财务建模、单位经济、融资、现金流与董事会财务材料。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/cfo-advisor/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/cfo-advisor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/cfo-advisor/SKILL.md" }, { "name": "changelog-generator", "domain": "programming", "path": "skills/programming/github/changelog-generator", "file": "skills/programming/github/changelog-generator/SKILL.md", "desc": "Produce consistent, auditable release notes from Conventional Commits. Separates commit parsing, semantic-bump logic, and changelog rendering for automated releases with editorial control. Use when cutting a release, generating CHANGELOG.md from git history, computing the next semantic version from commits, writing release notes, organizing version changes, automating release notes in CI, or planning a hotfix/rollback. Examples: 'generate the changelog for v1.4.0', 'what version bump do these commits require', 'we need an emergency hotfix process'. Do NOT use for publishing releases (generation only).", "desc_zh": "依据 Conventional Commits 生成发布说明、语义化版本号与更新日志。", "license": "Apache-2.0", "compatibility": "Pure Python 3 stdlib scripts; requires a local git repo and the `git` CLI on PATH. No API keys, no Docker required.", "version": "1.0", "tier": "powerful", "pattern": "code-generator", "verified": "2026-09-09", "repo_file": "skills/programming/github/changelog-generator/SKILL.md", "packs": [ "github-workflow" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/github/changelog-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/github/changelog-generator/SKILL.md" }, { "name": "channel-adapter", "domain": "marketing", "path": "skills/marketing/channel-adapter", "file": "skills/marketing/channel-adapter/SKILL.md", "desc": "Adapt finished marketing copy into per-channel variants with machine-checked fit: built-in channel constraint table (word budgets, line limits, CTA counts, banned patterns) for Xiaohongshu notes, Douyin spoken scripts, WeChat moments, email subjects, and search-ad headlines; audit each variant with channel_fit_check.py. Final chain step of growth-marketing. Use when the user asks to adapt for a channel / publish one piece everywhere / rewrite for Xiaohongshu / Douyin spoken script / Moments copy / email subject / channel variants / content marketing / SEO / conversion. Do NOT use for writing the base copy (product-copywriter), nor for planning the campaign calendar (campaign-designer).", "desc_zh": "把营销文案适配为各渠道版本：小红书、抖音口播、朋友圈、邮件与搜索广告。", "license": "Apache-2.0", "compatibility": "Python 3.8+ (channel_fit_check.py); no third-party dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/marketing/channel-adapter/SKILL.md", "packs": [ "growth-marketing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/channel-adapter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/channel-adapter/SKILL.md" }, { "name": "chart-recommender", "domain": "dataviz", "path": "skills/dataviz/chart-recommender", "file": "skills/dataviz/chart-recommender/SKILL.md", "desc": "Choose the right chart for a dataset before drawing anything: read the data shape and the analytical intent, look up the selection lexicon, compare two or three candidate chart types with their trade-offs, and emit a drawing spec covering axes, legend, annotations, and number formatting. Use when the user asks to what chart should this data use / how do I choose a chart type / help me pick a chart / is this pie chart appropriate / how best to visualize this data / which chart should I use / help me pick a visualization / is a pie chart ok here / data visualization / charts / matplotlib / D3 / reporting / dashboard. Do NOT use for actually building a dashboard file (use dashboard-designer), for publication figures (use pub-plotter), or for statistical analysis of the data.", "desc_zh": "为数据集推荐合适图表类型，比较候选方案并给出坐标轴等绘图规格。", "license": "Apache-2.0", "compatibility": "Prompt-only, no runtime required; the lexicon is a local Markdown file.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/dataviz/chart-recommender/SKILL.md", "packs": [ "dataviz-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/dataviz/chart-recommender/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/dataviz/chart-recommender/SKILL.md" }, { "name": "chat-prompt-engineer", "domain": "chat", "path": "skills/chat/chat-prompt-engineer", "file": "skills/chat/chat-prompt-engineer/SKILL.md", "desc": "Engineer and audit prompts for conversational AI assistants (Doubao, ChatGPT, Kimi, DeepSeek, in-app chat models): the five-element formula (role + background + task + requirements + format) for one-shot task prompts, the five-section skeleton (persona / capability-flow / constraints / output-format / boundary) for agent system prompts, and reverse constraints that cut filler. Two modes: write a prompt from a rough request, or audit an existing prompt / system prompt and report missing elements. Use when the user asks to write prompts / Doubao prompts / prompt optimization / agent persona / system prompt / prompt audit / prompt audit / make the AI obey / prompt engineering / chatbot / conversation / dialogue / AI assistant. Do NOT use for text-to-video or image-generation prompts (those structures live in the shot-designer skill), nor for agent framework code (that is agent-designer).", "desc_zh": "为对话式 AI 编写与审查提示词：五要素公式与智能体系统提示词骨架。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; the bundled prompt_audit.py needs Python 3.8+ only.", "version": "1.0", "tier": "standard", "pattern": "dual-mode", "verified": "2026-09-14", "repo_file": "skills/chat/chat-prompt-engineer/SKILL.md", "packs": [ "chat-prompt-craft" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/chat/chat-prompt-engineer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/chat/chat-prompt-engineer/SKILL.md" }, { "name": "chro-advisor", "domain": "leadership", "path": "skills/leadership/chro-advisor", "file": "skills/leadership/chro-advisor/SKILL.md", "desc": "People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management.", "desc_zh": "CHRO 人力建议：招聘策略、薪酬设计、组织架构、文化与人才留存。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/chro-advisor/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/chro-advisor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/chro-advisor/SKILL.md" }, { "name": "ci-cd-pipeline-builder", "domain": "programming", "path": "skills/programming/cicd/ci-cd-pipeline-builder", "file": "skills/programming/cicd/ci-cd-pipeline-builder/SKILL.md", "desc": "Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, building a CI/CD pipeline, configuring automated build and deployment, refactoring existing pipelines, or standardizing deployment workflows across multiple repos. Do NOT use for debugging an existing pipeline on a live runner.", "desc_zh": "根据项目技术栈生成 CI/CD 流水线：构建、检查与环境化部署阶段。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; runs Python stdlib scripts via Bash. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "pipeline-builder", "verified": "2026-09-09", "repo_file": "skills/programming/cicd/ci-cd-pipeline-builder/SKILL.md", "packs": [ "ci-cd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cicd/ci-cd-pipeline-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cicd/ci-cd-pipeline-builder/SKILL.md" }, { "name": "ciso-advisor", "domain": "leadership", "path": "skills/leadership/ciso-advisor", "file": "skills/leadership/ciso-advisor/SKILL.md", "desc": "Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap (SOC 2/ISO 27001/HIPAA/GDPR), security architecture strategy, incident response leadership, and board-level security reporting. Use when building security programs, justifying security budget, selecting compliance frameworks, managing incidents, assessing vendor risk, or when user mentions CISO, security strategy, compliance roadmap, zero trust, or board security reporting.", "desc_zh": "CISO 安全建议：风险量化、合规路线（SOC 2/ISO 27001）与事件响应。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/ciso-advisor/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/ciso-advisor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/ciso-advisor/SKILL.md" }, { "name": "citation-management", "domain": "programming", "path": "skills/programming/science/citation-management", "file": "skills/programming/science/citation-management/SKILL.md", "desc": "Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.", "desc_zh": "学术引用管理：检索 OpenAlex、PubMed 等文献、校验引用并生成 BibTeX。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/citation-management/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/citation-management/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/citation-management/SKILL.md" }, { "name": "cloud-drive-manager", "domain": "integrations", "path": "skills/integrations/cloud-drive-manager", "file": "skills/integrations/cloud-drive-manager/SKILL.md", "desc": "Plan and verify cloud-drive archives: enumerate a local directory into an upload manifest with per-file chunk strategy, generate sha256/md5 checksum lists for post-upload comparison, and render Baidu / Aliyun / OneDrive listing responses as readable tables. Use when the user asks to archive to a cloud drive / upload to Baidu Netdisk / back up to Aliyun Drive / sync to OneDrive / list cloud-drive files / verify upload completeness / archive to cloud drive / upload to Baidu Netdisk / backup to Aliyun Drive / sync to OneDrive. Do NOT use for Notion pages (use notion-workspace), chat notifications (use feishu-dingtalk-bridge), or local-only file organization (use file-organizer).", "desc_zh": "规划并校验网盘归档：生成上传清单与校验和，解析百度/阿里云盘/OneDrive 列表。", "license": "Apache-2.0", "compatibility": "Python 3.8+ stdlib only for the helper script (hashlib/json/pathlib). Live uploads need outbound HTTPS plus BAIDU_ACCESS_TOKEN / ALIYUN_REFRESH_TOKEN / ONEDRIVE_ACCESS_TOKEN in environment variables; the bundled script never contacts a network or deletes anything.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/integrations/cloud-drive-manager/SKILL.md", "packs": [ "workspace-integrations" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/cloud-drive-manager/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/cloud-drive-manager/SKILL.md" }, { "name": "cloudflare", "domain": "programming", "path": "skills/programming/cloud/cloudflare", "file": "skills/programming/cloud/cloudflare/SKILL.md", "desc": "Discover and choose Cloudflare products for apps, APIs, AI agents, storage, networking, and security. Use for architecture and product selection, including when the user describes a need without naming a Cloudflare product; then find the relevant skill or documentation.", "desc_zh": "发现并选择 Cloudflare 产品：应用、API、AI、存储、网络与安全架构选型。", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 Wrangler；部署等写操作需显式确认。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/cloudflare/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/cloudflare/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/cloudflare/SKILL.md" }, { "name": "cmo-advisor", "domain": "leadership", "path": "skills/leadership/cmo-advisor", "file": "skills/leadership/cmo-advisor/SKILL.md", "desc": "Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.", "desc_zh": "CMO 营销建议：品牌定位、增长模型、预算分配与营销组织设计。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/cmo-advisor/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/cmo-advisor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/cmo-advisor/SKILL.md" }, { "name": "cnblogs-skill", "domain": "writing", "path": "skills/writing/blog/cnblogs-skill", "file": "skills/writing/blog/cnblogs-skill/SKILL.md", "desc": "Helps adapt and write platform-native Markdown articles for CNBlogs (CNBlogs), the Chinese developer blogging community. Produces CNBlogs-format Markdown with short paragraphs, emoji headings, code blocks, tables, images, categories, and tags. Use when the user asks for CNBlogs content, cnblogs article, blog garden post, cnblogs adaptation, platform-specific content for cnblogs, or publish to CNBlogs. Do NOT use for automation, image upload scripts, or posting to other platforms.", "desc_zh": "为博客园 CNBlogs 改写原生 Markdown 文章：短段落、代码块、分类与标签。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/blog/cnblogs-skill/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/blog/cnblogs-skill/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/blog/cnblogs-skill/SKILL.md" }, { "name": "code-generator", "domain": "programming", "path": "skills/programming/planning/code-generator", "file": "skills/programming/planning/code-generator/SKILL.md", "desc": "Two-tier code generation (L1 script template engine + L2 agent generation) that turns a structured plan into runnable code. L1 scripts cover three families: Python FastAPI CRUD, bug-fix skeletons, and test stubs; L2 generates complex logic by the agent against project context. Use when you already have a structured implementation plan and need to produce runnable code files / generate code / implement from a plan / turn a solution into code / generate a CRUD scaffold / write the implementation per the plan. Do NOT use for reviewing or debugging existing code, or producing the implementation plan (that is code-intent-planner's job).", "desc_zh": "把结构化实现计划变成可运行代码：生成 CRUD、测试桩等骨架与复杂逻辑。", "license": "Apache-2.0", "compatibility": "Pure Python 3.8+ stdlib (the scripts have zero dependencies); L2 generation is done by the agent running this skill, no API key required.", "version": "1.1", "tier": "powerful", "pattern": "code-generator", "verified": "2026-09-21", "repo_file": "skills/programming/planning/code-generator/SKILL.md", "packs": [ "code-planning" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/planning/code-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/planning/code-generator/SKILL.md" }, { "name": "code-intent-planner", "domain": "programming", "path": "skills/programming/planning/code-intent-planner", "file": "skills/programming/planning/code-intent-planner/SKILL.md", "desc": "Three-tier waterfall intent recognition (L1 regex <10ms, L2 Flash LLM, L3 Pro LLM) that classifies user intent into 10 types, decomposes tasks, and produces execution plans with evidence grading. Use when the user describes a coding task and needs structured planning before implementation, clarifying requirements, producing an implementation plan, or turning a vague requirement into something concrete. Do NOT use for implementing the planned code itself (planning and orchestration only).", "desc_zh": "识别编码意图并拆解任务：三层瀑布式识别生成带证据分级的执行计划。", "license": "Apache-2.0", "compatibility": "Python 3 stdlib scripts. Default mock mode is offline (no network). Real LLM mode (--no-mock) needs network access plus LLM_API_KEY / LLM_BASE_URL / LLM_MODEL env vars. No Docker required.", "version": "1.0", "tier": "powerful", "pattern": "intent-planner", "verified": "2026-09-09", "repo_file": "skills/programming/planning/code-intent-planner/SKILL.md", "packs": [ "code-planning" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/planning/code-intent-planner/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/planning/code-intent-planner/SKILL.md" }, { "name": "code-review-and-quality", "domain": "programming", "path": "skills/programming/engineering/code-review-and-quality", "file": "skills/programming/engineering/code-review-and-quality/SKILL.md", "desc": "Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. Use when asked to review a diff or a pull request, even when the diff is pasted inline.", "desc_zh": "多维度代码审查：合并前评估代码质量、风险与改进点，含 PR diff 审查。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/code-review-and-quality/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/code-review-and-quality/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/code-review-and-quality/SKILL.md" }, { "name": "code-review-excellence", "domain": "programming", "path": "skills/programming/quality/code-review-excellence", "file": "skills/programming/quality/code-review-excellence/SKILL.md", "desc": "Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.", "desc_zh": "掌握高效代码评审实践：给出建设性反馈、早发现缺陷并促进知识共享。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/quality/code-review-excellence/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/code-review-excellence/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/code-review-excellence/SKILL.md" }, { "name": "code-reviewer", "domain": "programming", "path": "skills/programming/code-quality/code-reviewer", "file": "skills/programming/code-quality/code-reviewer/SKILL.md", "desc": "Automated static-analysis engine for code changes and files in TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Detects complexity, risk, hardcoded secrets, SQL injection, and SOLID violations; generates review reports. Also reviews pull request / merge request diffs end-to-end: diff-scoped review, blast-radius and change-impact assessment, regression risk, test-coverage delta, breaking-change detection, and a merge-readiness checklist via gh/glab. Use when the user asks to review code / do a code review / look over this code / check the risk in this code / review a pull request / review a PR / assess a diff's blast radius / static analysis / generate a review report. Do NOT use for fixing the issues it reports (static analysis only) — that is code-generator's job.", "desc_zh": "代码静态分析：检测复杂度、密钥泄露、SQL 注入与 SOLID 违规并审查 PR diff。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash. The three bundled scripts require Python 3.10+.", "version": "1.0", "tier": "powerful", "pattern": "code-reviewer", "verified": "2026-09-09", "repo_file": "skills/programming/code-quality/code-reviewer/SKILL.md", "packs": [ "code-review", "github-workflow" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/code-quality/code-reviewer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/code-quality/code-reviewer/SKILL.md" }, { "name": "community-signals", "domain": "marketing", "path": "skills/marketing/gtm/community-signals", "file": "skills/marketing/gtm/community-signals/SKILL.md", "desc": "Extract leads from developer forums (Hacker News, Reddit) by detecting intent signals — alternative seeking, competitor pain, scaling challenges, DIY solutions, and migration intent. Scores users by intent strength and cross-platform presence.", "desc_zh": "从 Hacker News / Reddit 检测购买意图信号（找替代、迁移、痛点、对比）并打分线索。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/community-signals/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/community-signals/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/community-signals/SKILL.md" }, { "name": "comp-analysis", "domain": "hr", "path": "skills/hr/comp-analysis", "file": "skills/hr/comp-analysis/SKILL.md", "desc": "Analyze compensation — benchmarking, band placement, and equity modeling. Trigger with \"what should we pay a [role]\", \"is this offer competitive\", \"model this equity grant\", or when uploading comp data to find outliers and retention risks.", "desc_zh": "薪酬分析：市场对标、职级带宽定位与股权建模，识别异常与留人风险。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/hr/comp-analysis/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/hr/comp-analysis/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/hr/comp-analysis/SKILL.md" }, { "name": "competitive-battlecard", "domain": "product", "path": "skills/product/competitive-battlecard", "file": "skills/product/competitive-battlecard/SKILL.md", "desc": "Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns. Use when preparing sales teams, creating competitive materials, or responding to 'why not competitor X?", "desc_zh": "制作销售用竞品对战卡：定位、功能对比、异议应对与赢单丢单模式。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/competitive-battlecard/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/competitive-battlecard/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/competitive-battlecard/SKILL.md" }, { "name": "competitive-pricing-intel", "domain": "marketing", "path": "skills/marketing/gtm/competitive-pricing-intel", "file": "skills/marketing/gtm/competitive-pricing-intel/SKILL.md", "desc": "Monitor competitor pricing pages via live web scrape and Web Archive snapshots. Track plan changes, tier restructuring, new pricing models, and feature gating shifts. Produces a pricing comparison matrix and flags when a competitor changes packaging. Use when a product marketing team needs to stay current on competitive pricing or when preparing for a pricing change of their own.", "desc_zh": "监控竞品定价页与存档快照，追踪套餐结构、价格与功能变化。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/competitive-pricing-intel/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/competitive-pricing-intel/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/competitive-pricing-intel/SKILL.md" }, { "name": "competitor-ad-intelligence", "domain": "marketing", "path": "skills/marketing/gtm/competitor-ad-intelligence", "file": "skills/marketing/gtm/competitor-ad-intelligence/SKILL.md", "desc": "Scrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.", "desc_zh": "抓取 Meta / TikTok / Google / LinkedIn 广告库，分析竞品创意模式并逆向其落地页。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/competitor-ad-intelligence/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/competitor-ad-intelligence/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/competitor-ad-intelligence/SKILL.md" }, { "name": "competitor-intel", "domain": "marketing", "path": "skills/marketing/gtm/competitor-intel", "file": "skills/marketing/gtm/competitor-intel/SKILL.md", "desc": "Competitor intelligence system. Research competitors across web, Reddit, Twitter/X, LinkedIn, and blogs. Build deep competitor profiles, monitor content and positioning changes, track what gets traction, and identify competitive gaps. Covers data collection, content tracking, and strategy analysis. Pure research skill — uses web search, web fetch, and optionally Apify for social scraping. No scripts required.", "desc_zh": "多源竞品情报系统：从 Web、Reddit、X、LinkedIn 与博客持续跟踪并维护竞品档案。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/competitor-intel/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/competitor-intel/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/competitor-intel/SKILL.md" }, { "name": "compliance-check", "domain": "legal", "path": "skills/legal/compliance-check", "file": "skills/legal/compliance-check/SKILL.md", "desc": "Run a compliance check on a proposed action, product feature, or business initiative, surfacing applicable regulations, required approvals, and risk areas. Use when launching a feature that touches personal data, when marketing or product proposes something with regulatory implications, or when you need to know which approvals and jurisdictional requirements apply before proceeding.", "desc_zh": "对拟推行的功能或商业举措做合规检查：适用法规、所需审批与风险点。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/legal/compliance-check/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/legal/compliance-check/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/legal/compliance-check/SKILL.md" }, { "name": "content-editor", "domain": "writing", "path": "skills/writing/content-editor", "file": "skills/writing/content-editor/SKILL.md", "desc": "Proofread, polish, and style-unify article drafts. Detects banned words, inconsistent tone, overlong sentences, and grammar issues. Scores editability. Use when polishing an article / proofreading typos / unifying writing style / removing AI tone / running a quality check on an article after drafting and before SEO and publishing. Do NOT use for generating new content from scratch (editing and polishing only).", "desc_zh": "校对与润色文章草稿：查禁用词、统一语气、改长句与语法并给出易编辑评分。", "license": "Apache-2.0", "compatibility": "Pure Python analysis; LLM-assisted for rewriting. Optional helper scripts/editor.py requires Python 3.8+ (stdlib only). No API keys required.", "version": "1.1", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/writing/content-editor/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/content-editor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/content-editor/SKILL.md" }, { "name": "content-repurposing", "domain": "marketing", "path": "skills/marketing/gtm/content-repurposing", "file": "skills/marketing/gtm/content-repurposing/SKILL.md", "desc": "Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog outlines, carousel briefs, and content calendars. Use when the user wants to reuse a strong idea without copying the source.", "desc_zh": "把公开视频、转录稿、帖子或自有素材改写成各平台分发的 LinkedIn / X 内容。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/content-repurposing/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/content-repurposing/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/content-repurposing/SKILL.md" }, { "name": "course-designer", "domain": "education", "path": "skills/education/course-designer", "file": "skills/education/course-designer/SKILL.md", "desc": "Design a mastery-based course from a topic: learning contract (scope/level/target/constraints, <=3 questions), checkpoint breakdown with dependency order, per-module study path, and exam-mode adjustments. Chain entry of edu-craft — checkpoints feed exercise-generator directly. Use when the user asks to design a course / make an outline / study plan / syllabus / curriculum / teach me a subject / lesson design. Do NOT use for generating exercises (exercise-generator), nor for interactive concept teaching (feynman-explainer).", "desc_zh": "从主题设计掌握式课程：学习契约、关卡拆解、学习路径与考试调整。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/education/course-designer/SKILL.md", "packs": [ "edu-craft" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/education/course-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/education/course-designer/SKILL.md" }, { "name": "cpp", "domain": "programming", "path": "skills/programming/standards/cpp", "file": "skills/programming/standards/cpp/SKILL.md", "desc": "Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization", "desc_zh": "现代 C++（C++17/20）规范：内存安全与性能优化。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/cpp/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/cpp/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/cpp/SKILL.md" }, { "name": "create-prd", "domain": "product", "path": "skills/product/create-prd", "file": "skills/product/create-prd/SKILL.md", "desc": "Create a Product Requirements Document using a comprehensive 8-section template covering problem, objectives, segments, value propositions, solution, and release planning. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.", "desc_zh": "用 8 段模板撰写产品需求文档 PRD：问题、目标、用户、方案与发布规划。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/create-prd/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/create-prd/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/create-prd/SKILL.md" }, { "name": "cross-post-orchestrator", "domain": "writing", "path": "skills/writing/orchestrator/cross-post-orchestrator", "file": "skills/writing/orchestrator/cross-post-orchestrator/SKILL.md", "desc": "Cross-platform content adaptation guide. Helps adapt ONE source article into platform-native versions for multiple Chinese platforms (Zhihu, WeChat MP, Juejin, CNBlogs, CSDN, Jianshu, Xiaohongshu, Weibo, Toutiao, Baijiahao, Bilibili, Douban, V2EX, SegmentFault, OSChina, static blog) simultaneously. Produces per-platform titles, adapted bodies, tag sets, and image briefs. Use when the user asks to adapt an article for multiple platforms, cross-post content, multi-platform content adaptation, one article for many platforms, or distribute content across platforms. Do NOT use for posting automation, scheduling scripts, or single-platform deep formatting (use the per-platform skill).", "desc_zh": "把一篇源文章改编成多平台原生版本：知乎、微信、掘金、小红书与微博等。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/orchestrator/cross-post-orchestrator/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/orchestrator/cross-post-orchestrator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/orchestrator/cross-post-orchestrator/SKILL.md" }, { "name": "csdn-publisher", "domain": "writing", "path": "skills/writing/blog/csdn-publisher", "file": "skills/writing/blog/csdn-publisher/SKILL.md", "desc": "Helps adapt and write platform-native Markdown articles for CSDN, the Chinese developer blog and search-indexed tech content platform. Produces CSDN-style posts with SEO-friendly titles, code blocks, tags, categories, and a tutorial voice. Use when the user asks for CSDN content, csdn article, CSDN blog post, csdn adaptation, platform-specific content for csdn, or publish to CSDN. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为 CSDN 改写原生 Markdown 文章：SEO 标题、代码块、标签分类与教程口吻。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/blog/csdn-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/blog/csdn-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/blog/csdn-publisher/SKILL.md" }, { "name": "cto-advisor", "domain": "leadership", "path": "skills/leadership/cto-advisor", "file": "skills/leadership/cto-advisor/SKILL.md", "desc": "Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.", "desc_zh": "CTO 技术建议：技术债评估、团队扩张、架构决策与研发效能指标。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/cto-advisor/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/cto-advisor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/cto-advisor/SKILL.md" }, { "name": "dashboard-designer", "domain": "dataviz", "path": "skills/dataviz/dashboard-designer", "file": "skills/dataviz/dashboard-designer/SKILL.md", "desc": "Profile a CSV, then recommend and generate a dashboard: infer column types and distributions, propose a KPI-plus-chart layout with reasons, and build a self-contained single-file HTML dashboard whose charts are inline SVG with no CDN or network dependency. Use when the user asks to build a dashboard / data board / visualize this CSV / analyze data into charts / generate an HTML report / build a dashboard / visualize this CSV / make a data report / create an HTML dashboard / data visualization / dashboard / charts / reporting. Do NOT use for choosing a single chart type without building anything (use chart-recommender), for academic publication figures (use pub-plotter), or for statistical modeling.", "desc_zh": "分析 CSV 并生成单文件 HTML 仪表盘：推荐 KPI 与图表布局，内联 SVG 无依赖。", "license": "Apache-2.0", "compatibility": "Requires Python 3.8+; the script is stdlib-only. The HTML output has zero external dependencies and works offline.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/dataviz/dashboard-designer/SKILL.md", "packs": [ "dataviz-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/dataviz/dashboard-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/dataviz/dashboard-designer/SKILL.md" }, { "name": "database-designer", "domain": "programming", "path": "skills/programming/database/database-designer", "file": "skills/programming/database/database-designer/SKILL.md", "desc": "Use when the user asks to design database schemas, design database tables, design table structure, create ERD diagrams, add indexes, normalize schemas, plan data migrations, add multi-tenancy or row-level security, generate seed data, optimize queries, choose between SQL and NoSQL, or model data relationships. Do NOT use for executing schema changes against a live database.", "desc_zh": "设计数据库：表结构、ERD、索引、范式化、迁移、多租户与查询优化。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/database/database-designer/SKILL.md", "packs": [ "database" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/database/database-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/database/database-designer/SKILL.md" }, { "name": "debug-diagnoser", "domain": "programming", "path": "skills/programming/debug/debug-diagnoser", "file": "skills/programming/debug/debug-diagnoser/SKILL.md", "desc": "Parse stack traces and error logs, identify root cause from 10+ known patterns, and suggest a minimal fix. Outputs a structured diagnosis consumable by code-generator. Use when triaging a crash/bug report before fixing — troubleshooting an error, locating a crash cause, looking at a traceback, or debugging an issue. Do NOT use for fixing the code itself (diagnosis and hypothesis ranking only).", "desc_zh": "解析堆栈与错误日志定位根因，匹配已知模式并给出最小修复建议。", "license": "Apache-2.0", "compatibility": "Pure Python standard library (re). No external dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/debug/debug-diagnoser/SKILL.md", "packs": [ "code-planning" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/debug/debug-diagnoser/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/debug/debug-diagnoser/SKILL.md" }, { "name": "debugging-and-error-recovery", "domain": "programming", "path": "skills/programming/engineering/debugging-and-error-recovery", "file": "skills/programming/engineering/debugging-and-error-recovery/SKILL.md", "desc": "Guides systematic root-cause debugging. Use when tests fail, builds break, something that worked yesterday broke, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need to figure out what broke and why — a systematic approach to finding and fixing the root cause rather than guessing.", "desc_zh": "系统化根因调试：测试失败、构建中断或行为异常时定位并修复问题。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/debugging-and-error-recovery/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/debugging-and-error-recovery/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/debugging-and-error-recovery/SKILL.md" }, { "name": "debugging-strategies", "domain": "programming", "path": "skills/programming/quality/debugging-strategies", "file": "skills/programming/quality/debugging-strategies/SKILL.md", "desc": "Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.", "desc_zh": "掌握系统化调试：剖析工具、性能排查与根因分析，跨技术栈定位缺陷。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/quality/debugging-strategies/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/debugging-strategies/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/debugging-strategies/SKILL.md" }, { "name": "decision-debiasing", "domain": "communication", "path": "skills/communication/decision-debiasing", "file": "skills/communication/decision-debiasing/SKILL.md", "desc": "Structured debiasing protocol for consequential decisions that compensates for the assistant's own sycophancy and the user's cognitive biases (anchoring, confirmation, sunk cost). It forces a past-tense pre-mortem, a dedicated red-team argument against the user's favorite option, and a written decision record. Use when the user faces a consequential decision and wants to avoid cognitive bias, or asks for a pre-mortem, red-team, second opinion, or decision review. Triggers: decision debiasing / pre-mortem / red team / cognitive bias / second opinion / risk review. Do NOT use for simple everyday choices, or for financial / legal / medical professional advice (route to licensed professionals), or when the user just wants validation.", "desc_zh": "重大决策去偏流程：事前验尸、红队反驳与决策记录，对抗锚定等认知偏差。", "license": "Apache-2.0", "compatibility": "Pure prompt skill, no scripts or runtime deps.", "version": "1.0", "tier": "pilot", "pattern": "adversarial-protocol", "verified": "2026-09-25", "repo_file": "skills/communication/decision-debiasing/SKILL.md", "packs": [ "communication-essentials" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/communication/decision-debiasing/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/communication/decision-debiasing/SKILL.md" }, { "name": "deep-research", "domain": "programming", "path": "skills/programming/planning/deep-research", "file": "skills/programming/planning/deep-research/SKILL.md", "desc": "Multi-round search with information synthesis and structured report generation. Query decomposition, quality scoring, trustworthiness assessment, deduplication. Use when the user asks to research a topic in depth and needs a comprehensive report with sources, deep research, multi-round retrieval into a report, or to investigate a topic. Do NOT use for casual single-question lookups (use web-search).", "desc_zh": "多轮检索深度研究：拆解查询、质量评分、去重并生成带来源的结构化报告。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "web-search", "verified": "2026-09-09", "repo_file": "skills/programming/planning/deep-research/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/planning/deep-research/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/planning/deep-research/SKILL.md" }, { "name": "dependency-and-risk-management", "domain": "ops", "path": "skills/ops/dependency-and-risk-management", "file": "skills/ops/dependency-and-risk-management/SKILL.md", "desc": "Manages delivery risk and cross-team dependencies — identifying, sizing, mitigating and escalating what could stop the work. Use this to build a risk register that gets used, manage dependencies between teams, decide what to escalate and when, or work out why the same risks keep materializing unmanaged.", "desc_zh": "交付风险与跨团队依赖管理：识别、量化、缓解与升级可能阻断交付的事项。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/dependency-and-risk-management/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/dependency-and-risk-management/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/dependency-and-risk-management/SKILL.md" }, { "name": "dependency-auditor", "domain": "programming", "path": "skills/programming/code-quality/dependency-auditor", "file": "skills/programming/code-quality/dependency-auditor/SKILL.md", "desc": "Audit and manage dependencies across multi-language projects. Identifies vulnerabilities, license conflicts, transitive dependency risks, and safe-upgrade paths. Use when auditing third-party packages before release, investigating a CVE, planning a major version bump, or running a license compliance review. Examples: 'audit our npm dependencies', 'do we have GPL contamination', 'plan the upgrade to React 19', auditing dependencies, dependency security and licensing, checking outdated packages, or assessing upgrade risk. Do NOT use for upgrading dependencies (audit and advisory only).", "desc_zh": "审计多语言项目依赖：漏洞、许可证冲突、传递依赖风险与安全升级路径。", "license": "Apache-2.0", "compatibility": "Pure Python 3.10+; the three scripts are offline pattern-matchers over manifests and lockfiles. No network and no API keys required. Pair their findings with `npm audit` / `pip-audit` / `cargo audit` for live CVE coverage.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/code-quality/dependency-auditor/SKILL.md", "packs": [ "code-review" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/code-quality/dependency-auditor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/code-quality/dependency-auditor/SKILL.md" }, { "name": "deployment-pipeline-design", "domain": "programming", "path": "skills/programming/quality/deployment-pipeline-design", "file": "skills/programming/quality/deployment-pipeline-design/SKILL.md", "desc": "Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.", "desc_zh": "设计多阶段 CI/CD 流水线：审批门禁、安全检查、灰度发布与多环境晋级。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/deployment-pipeline-design/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/deployment-pipeline-design/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/deployment-pipeline-design/SKILL.md" }, { "name": "design-brief-interpreter", "domain": "design", "path": "skills/design/design-brief-interpreter", "file": "skills/design/design-brief-interpreter/SKILL.md", "desc": "Interpret a vague visual design request into a machine-checkable design spec: purpose, audience, platform + exact canvas size/ratio, composition, style anchor, color palette, text hierarchy, and text budget. This is the entry skill of the visual-design-studio chain — its output feeds image-prompt-engineer directly, and layout-spec-auditor verifies the final image against it. Use when the user asks to make an image / design a cover / poster / infographic / illustration / cover / banner. Do NOT use for video frame prompts (shot-designer owns motion), nor for UI code generation.", "desc_zh": "把模糊的视觉设计需求转成可校验规格：画布尺寸、构图、配色与文字层级。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/design/design-brief-interpreter/SKILL.md", "packs": [ "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/design-brief-interpreter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/design-brief-interpreter/SKILL.md" }, { "name": "design-system-foundations", "domain": "design", "path": "skills/design/design-system-foundations", "file": "skills/design/design-system-foundations/SKILL.md", "desc": "Hard-number reference for design system foundations: typography scales, color contrast values, 8pt spacing tokens, radius/shadow elevation, motion duration and easing curves, responsive breakpoints, and z-index layering. Use when the user asks to build or audit a design system, pick a type scale, define color tokens, set spacing units, spec micro-interaction motion, choose responsive breakpoints, or establish design token naming. Do NOT use for visual design direction or brand personality (frontend-design-director owns that), component implementation, or layout QA. Trigger words: design system, typography scale, color palette, spacing system, design tokens, UI spacing, responsive breakpoints, type scale, color contrast, motion spec, box shadow elevation.", "desc_zh": "设计系统基础数值参考：字阶、色彩对比、8pt 间距、圆角阴影、动效与断点。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime deps.", "version": "1.0", "tier": "standard", "pattern": "reference", "verified": "2026-09-25", "repo_file": "skills/design/design-system-foundations/SKILL.md", "packs": [ "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/design-system-foundations/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/design-system-foundations/SKILL.md" }, { "name": "detecting-dcsync-attack-in-active-directory", "domain": "programming", "path": "skills/programming/security/detecting-dcsync-attack-in-active-directory", "file": "skills/programming/security/detecting-dcsync-attack-in-active-directory/SKILL.md", "desc": "Detect DCSync attacks (MITRE T1003.006) where adversaries abuse Active Directory replication privileges to extract password hashes, by auditing Event ID 4662 for the DS-Replication-Get-Changes GUIDs and flagging non-domain-controller accounts issuing DsGetNCChanges RPC calls. Use when hunting for credential theft via Mimikatz lsadump::dcsync or Impacket secretsdump, investigating lateral movement with domain admin credentials, or auditing AD replication permissions.", "desc_zh": "通过 AD 事件日志审计检测 DCSync 复制提权攻击（MITRE T1003.006）。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/detecting-dcsync-attack-in-active-directory/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/detecting-dcsync-attack-in-active-directory/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/detecting-dcsync-attack-in-active-directory/SKILL.md" }, { "name": "diagram-design", "domain": "design", "path": "skills/design/diagram-design", "file": "skills/design/diagram-design/SKILL.md", "desc": "Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, heatmap, bar, waterfall, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as HTML/SVG/PNG, with .drawio and .excalidraw import support, plus lifecycle phase maps and onboarding guidance.", "desc_zh": "制作品牌化图表：架构、流程、时序、ER、甘特、Sankey 等 HTML/SVG/PNG。", "license": "MIT", "compatibility": "纯提示型（含少量模板/脚本），任意支持 SKILL.md 的工具可用。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/design/diagram-design/SKILL.md", "packs": [ "creator-boosters" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/diagram-design/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/diagram-design/SKILL.md" }, { "name": "dispatching-parallel-agents", "domain": "programming", "path": "skills/programming/methodology/dispatching-parallel-agents", "file": "skills/programming/methodology/dispatching-parallel-agents/SKILL.md", "desc": "Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies", "desc_zh": "在多个无共享状态、可独立并行的任务上分派并行智能体协同处理。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/dispatching-parallel-agents/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/dispatching-parallel-agents/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/dispatching-parallel-agents/SKILL.md" }, { "name": "docker-development", "domain": "programming", "path": "skills/programming/containers/docker-development", "file": "skills/programming/containers/docker-development/SKILL.md", "desc": "Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: the user wants to write a Dockerfile, containerize an app, optimize image size, optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns. Do NOT use for running containers in a production cluster.", "desc_zh": "Docker 与容器开发：优化 Dockerfile、docker-compose、多阶段构建与安全加固。", "license": "Apache-2.0", "compatibility": "Requires docker. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/containers/docker-development/SKILL.md", "packs": [ "containers" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/containers/docker-development/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/containers/docker-development/SKILL.md" }, { "name": "docx-template-fill", "domain": "office", "path": "skills/office/docx-template-fill", "file": "skills/office/docx-template-fill/SKILL.md", "desc": "Fill an existing Word template's {{placeholders}} with JSON data, optionally append a review note, and keep the original template untouched. Use when the user asks to fill a Word template / populate a docx / batch-generate contracts, reports, or notices / fill template / merge data into document / comment review. Do NOT use for generating a brand-new document from scratch (use docx-writer), spreadsheets, or slide decks.", "desc_zh": "用 JSON 数据填充 Word 模板中的占位符，可选追加审阅批注，保留原模板不变，适合批量生成合同、报告与通知。", "license": "Apache-2.0", "compatibility": "Requires python3 + python-docx (pip install python-docx); degrades to \"print placeholder list only\" when missing", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/office/docx-template-fill/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/docx-template-fill/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/docx-template-fill/SKILL.md" }, { "name": "docx-writer", "domain": "office", "path": "skills/office/docx-writer", "file": "skills/office/docx-writer/SKILL.md", "desc": "Generate and audit real Word (.docx) files from a markdown-ish draft or structured JSON, with correct heading levels, lists, tables, bold spans, and CJK font setup. Use when the user asks to write a document / create a Word file / generate a docx report / create document / make a Word report / export to docx / format a document, or wants to inspect or restyle an existing .docx. Do NOT use for PDF manipulation (use pdf-pipeline), spreadsheets, or slide decks.", "desc_zh": "从 Markdown 草稿或结构化 JSON 生成 Word 文档，正确处理标题层级、列表、表格、加粗与中文字体，也可查看和重排现有 docx。", "license": "Apache-2.0", "compatibility": "Requires python3 + python-docx (pip-installable); degrades to markdown-only output without it", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/office/docx-writer/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/docx-writer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/docx-writer/SKILL.md" }, { "name": "douban-publisher", "domain": "writing", "path": "skills/writing/community/douban-publisher", "file": "skills/writing/community/douban-publisher/SKILL.md", "desc": "Helps adapt and write platform-native content for Douban (Douban), the Chinese book / movie / music / culture community. Produces Douban-style notes (diary), reviews (film/book review), and group posts with a thoughtful, literary voice, tags, and group targeting. Use when the user asks for Douban content, Douban note, douban review, douban adaptation, platform-specific content for douban, or publish to Douban. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为豆瓣社区撰写或改写成平台原生内容，生成豆瓣日记、书影音评论和小组帖子，带文艺语感、标签与小组定位。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/community/douban-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/community/douban-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/community/douban-publisher/SKILL.md" }, { "name": "draft-response", "domain": "customer", "path": "skills/customer/draft-response", "file": "skills/customer/draft-response/SKILL.md", "desc": "Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.", "desc_zh": "针对具体情境与客户关系起草得体的客户对外回复，覆盖产品答疑、故障与升级、延期等坏消息、拒绝需求与账单问题。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/customer/draft-response/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/customer/draft-response/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/customer/draft-response/SKILL.md" }, { "name": "e2e-testing-patterns", "domain": "programming", "path": "skills/programming/quality/e2e-testing-patterns", "file": "skills/programming/quality/e2e-testing-patterns/SKILL.md", "desc": "Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.", "desc_zh": "用 Playwright 与 Cypress 做端到端测试，编写可靠测试套件、调试不稳定的 flaky 用例并建立团队测试标准。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/e2e-testing-patterns/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/e2e-testing-patterns/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/e2e-testing-patterns/SKILL.md" }, { "name": "elixir", "domain": "programming", "path": "skills/programming/standards/elixir", "file": "skills/programming/standards/elixir/SKILL.md", "desc": "Expert in Elixir and Phoenix development with functional programming patterns", "desc_zh": "Elixir 与 Phoenix 规范：函数式模式与并发实践。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/elixir/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/elixir/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/elixir/SKILL.md" }, { "name": "env-secrets-manager", "domain": "programming", "path": "skills/programming/security/env-secrets-manager", "file": "skills/programming/security/env-secrets-manager/SKILL.md", "desc": "Manage environment-variable hygiene and secrets safety across local development and production. Triggers on \"audit .env\", \"secrets scan\", \"check for leaked keys\", \"rotate credentials\", \"env file hygiene\", \"committed secrets\", \"detect-secrets or gitleaks setup\", \"missing env var incident\". Practical auditing, drift awareness, rotation readiness. Use when auditing .env files for committed secrets, planning a credential rotation, debugging missing-env-var production incidents, hardening a new project against secrets leakage, managing environment variables, auditing secrets, checking .env leaks, or preparing for rotation. Do NOT use for reading or printing secret values (hygiene checks only); production vault infrastructure and rotation execution live in secrets-vault-manager.", "desc_zh": "审计 .env 与环境变量卫生，排查已提交的密钥泄露、监测配置漂移并准备凭证轮换，只做检查不读取或打印密钥值。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "expert", "pattern": "workflow", "verified": "2026-09-09", "repo_file": "skills/programming/security/env-secrets-manager/SKILL.md", "packs": [ "security" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/env-secrets-manager/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/env-secrets-manager/SKILL.md" }, { "name": "episode-publisher", "domain": "audio", "path": "skills/audio/episode-publisher", "file": "skills/audio/episode-publisher/SKILL.md", "desc": "Package a rendered podcast episode for publishing: markdown shownotes (summary, guest/links, terminology table), timestamped chapter markers (podcasting 2.0 style), platform metadata (title formulas, episode numbering, cover spec) for Chinese platforms (Xiaoyuzhou/Ximalaya) and Apple Podcasts, plus the AI-content disclosure line. Reads the script and synthesis plan from upstream chain steps. Use when the user asks to publish a podcast / shownotes / chapter markers / podcast publishing / publish on Xiaoyuzhou / episode metadata / podcast / audio production. Do NOT use for writing the script (podcast-producer), nor for synthesis/voice selection (tts-voice-director).", "desc_zh": "打包播客节目用于发布：生成 Markdown 节目简介、时间戳章节标记、小宇宙与喜马拉雅及 Apple Podcasts 平台元数据和 AI 内容声明。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/audio/episode-publisher/SKILL.md", "packs": [ "audio-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/audio/episode-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/audio/episode-publisher/SKILL.md" }, { "name": "epub-builder", "domain": "office", "path": "skills/office/epub-builder", "file": "skills/office/epub-builder/SKILL.md", "desc": "Convert a Markdown manuscript into a valid EPUB 3 e-book with correct mimetype/container.xml/content.opf/toc.ncx/nav.xhtml structure, then read the EPUB back to verify metadata and chapter order. Uses only the Python standard library because EPUB is just a zip plus XML. Use when the user asks to build an epub / make an e-book from markdown / convert to epub / inspect an epub file / split ebook chapters / generate ebook / epub from markdown. Do NOT use for Word documents (use docx-writer) or PDF generation (use pdf-pipeline).", "desc_zh": "把 Markdown 手稿转换为合规的 EPUB 3 电子书，校验元数据与章节顺序，支持查看电子书并拆分章节结构。", "license": "Apache-2.0", "compatibility": "Requires python3 3.8+; script uses stdlib only (zipfile + ElementTree), no third-party dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/office/epub-builder/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/epub-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/epub-builder/SKILL.md" }, { "name": "error-handling-patterns", "domain": "programming", "path": "skills/programming/quality/error-handling-patterns", "file": "skills/programming/quality/error-handling-patterns/SKILL.md", "desc": "Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.", "desc_zh": "掌握跨语言的错误处理模式，包括异常、Result 类型、错误传播与优雅降级，帮助构建健壮可靠的应用。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/error-handling-patterns/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/error-handling-patterns/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/error-handling-patterns/SKILL.md" }, { "name": "estimating-and-contingency", "domain": "ops", "path": "skills/ops/estimating-and-contingency", "file": "skills/ops/estimating-and-contingency/SKILL.md", "desc": "Produces a cost or effort estimate someone can defend — decomposing the work, choosing between analogous, parametric and bottom-up methods, documenting the basis and its assumptions, expressing confidence as a range, and sizing contingency and management reserve separately. Use this to build an estimate, challenge one you have been handed, work out why estimates keep coming in low, or decide how much reserve a portfolio actually needs.", "desc_zh": "可辩护的成本/工作量估算：分解工作、选类比/参数/自下而上方法并留预备量。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/estimating-and-contingency/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/estimating-and-contingency/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/estimating-and-contingency/SKILL.md" }, { "name": "etl-builder", "domain": "programming", "path": "skills/programming/data/etl-builder", "file": "skills/programming/data/etl-builder/SKILL.md", "desc": "Build data pipelines: extract from CSV/JSON/DB, apply transforms (clean, normalize, encode), load to target. Supports batch and incremental modes. Use when writing a data pipeline, ETL cleaning, loading data into a database, or raw data needs cleaning before analysis or ML training. Do NOT use for running production ETL schedules (generation and local dry-run only).", "desc_zh": "构建数据管道：从 CSV、JSON、数据库抽取，做清洗、归一化、编码等转换后加载到目标，支持批量和增量模式。", "license": "Apache-2.0", "compatibility": "Pure Python standard library (argparse/json/csv). No pandas or external DB required.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/data/etl-builder/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/data/etl-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/data/etl-builder/SKILL.md" }, { "name": "excel-assistant", "domain": "office", "path": "skills/office/excel-assistant", "file": "skills/office/excel-assistant/SKILL.md", "desc": "Clean, analyze, and summarize spreadsheet data: inspect structure, fix common defects (encoding, merged cells, dates-as-text), compute answers, and deliver a cleaned file plus findings. Use when the user asks to process Excel / clean data / analyze a spreadsheet / summarize this spreadsheet / fix my csv / summarize this table / spreadsheet analysis / data cleaning / pivot summary. Do NOT use for building presentations or writing reports.", "desc_zh": "清洗、分析并汇总表格数据：查看结构、修复编码错误、合并单元格、日期变文本等常见缺陷，输出干净文件和结论。", "license": "Apache-2.0", "compatibility": "Works best with python3 + pandas + openpyxl; degrades to manual guidance.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/office/excel-assistant/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/excel-assistant/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/excel-assistant/SKILL.md" }, { "name": "executing-plans", "domain": "programming", "path": "skills/programming/methodology/executing-plans", "file": "skills/programming/methodology/executing-plans/SKILL.md", "desc": "Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available", "desc_zh": "在当前会话中由自己亲自执行实施计划、逐项落地；当用户选择内联执行或没有子代理可用时使用。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/executing-plans/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/executing-plans/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/executing-plans/SKILL.md" }, { "name": "exercise-generator", "domain": "education", "path": "skills/education/exercise-generator", "file": "skills/education/exercise-generator/SKILL.md", "desc": "Generate strict mastery exercises for course checkpoints: open-ended conceptual questions (MCQ banned to prevent guessing), difficulty ladder (recall / apply / transfer), answer rubric with point bands, and common-trap annotations. Machine-checkable block format enforced by exercise_lint.py. Use when the user asks to generate exercises / make a quiz / practice questions / question bank / exam practice, or automatically after course-designer produces checkpoints. Do NOT use for designing the course skeleton (course-designer), nor for teaching interactively (feynman-explainer).", "desc_zh": "为课程检查点生成严格掌握型练习：开放式概念题、难度阶梯、评分量规与常见陷阱标注，输出可机器校验的格式。", "license": "Apache-2.0", "compatibility": "Python 3.8+ (exercise_lint.py); no third-party dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/education/exercise-generator/SKILL.md", "packs": [ "edu-craft" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/education/exercise-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/education/exercise-generator/SKILL.md" }, { "name": "experiment-runner", "domain": "paper", "path": "skills/paper/experiment-runner", "file": "skills/paper/experiment-runner/SKILL.md", "desc": "Run reproducible experiments with fixed seeds, aggregate metrics across N runs, and apply REAL statistical tests (Welch t-test / p-value / Cohen's d / 95% CI) via scipy. Supports simulated (honest demo) and real (--metric module:func) modes; optional mlflow tracking. Use when the user asks to run experiments / run N times and average / statistical significance testing / repeat experiments / run N times with a fixed seed / reproduce an experiment / compute mean std / significance test / p-value. Do NOT use for drawing charts (hand results to pub-plotter).", "desc_zh": "运行可复现实验：固定随机种子、多次运行聚合指标，并用 scipy 做 Welch t 检验、p 值与 Cohen d 效应量等显著性检验。", "license": "Apache-2.0", "compatibility": "Stdlib + scipy (falls back to pure-stdlib Welch t when scipy absent). numpy/torch seeded when installed. real mode imports user metrics via importlib. mlflow optional.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/experiment-runner/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/experiment-runner/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/experiment-runner/SKILL.md" }, { "name": "experimental-design", "domain": "programming", "path": "skills/programming/science/experimental-design", "file": "skills/programming/science/experimental-design/SKILL.md", "desc": "Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger even for informal phrasings like \"how should I set up this experiment\", \"how do I avoid confounding\", \"what's the best way to test these 6 factors\", or \"assign these mice to conditions\". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistical-analysis.", "desc_zh": "在收集数据前设计实验与研究方法：选择设计类型、随机化、区组、分层与因子或部分因子设计（DOE），避免混杂。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/experimental-design/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/experimental-design/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/experimental-design/SKILL.md" }, { "name": "exploratory-data-analysis", "domain": "programming", "path": "skills/programming/science/exploratory-data-analysis", "file": "skills/programming/science/exploratory-data-analysis/SKILL.md", "desc": "Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.", "desc_zh": "对明确支持的科学数据文件做本地探索性分析：CSV、TSV、JSON 概况、缺失与泄漏审计、异常值敏感性及报告框架。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/exploratory-data-analysis/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/exploratory-data-analysis/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/exploratory-data-analysis/SKILL.md" }, { "name": "feature-engineer", "domain": "programming", "path": "skills/programming/data/feature-engineer", "file": "skills/programming/data/feature-engineer/SKILL.md", "desc": "Design feature engineering plans: identify feature types, suggest transforms, detect data quality issues, plan interactions. Outputs a feature spec for ML training. Use after ETL, before model training. Use when doing feature engineering, designing features, feature design, feature transformation, a feature transformation plan, a data quality check, a feature spec, or feature transformation. Do NOT use for model training or hyperparameter tuning.", "desc_zh": "设计特征工程方案：识别特征类型、建议变换、检测数据质量问题、规划特征交互，为机器学习训练输出特征规格。", "license": "Apache-2.0", "compatibility": "Pure Python standard library. No sklearn required for planning.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/data/feature-engineer/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/data/feature-engineer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/data/feature-engineer/SKILL.md" }, { "name": "feature-flags-architect", "domain": "programming", "path": "skills/programming/ai-engineering/feature-flags-architect", "file": "skills/programming/ai-engineering/feature-flags-architect/SKILL.md", "desc": "Audit, plan, and govern feature flags across their full lifecycle (classify → ship → ramp → retire). Use when the user asks to configure feature flags / canary rollout / flag governance / feature flag / release gate / add a flag / ship behind a flag / rollout plan / kill switch / stale flags / flag debt / LaunchDarkly / GrowthBook / Statsig / Unleash / Flipt. Ships stdlib-only Python tools (flag_debt_scanner, rollout_planner, kill_switch_audit) plus 4 references on taxonomy, provider trade-offs, rollout strategies, and lifecycle. Do NOT use for writing the flag SDK calls inside application code.", "desc_zh": "审计、规划并治理功能开关全生命周期，覆盖分类、上线、灰度放量与下线，含灰度发布计划、发布门禁与开关债务扫描。", "license": "Apache-2.0", "compatibility": "Reads project structure via Bash and git. Requires Python 3.8+ (stdlib only) to run the bundled scripts.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-09-09", "repo_file": "skills/programming/ai-engineering/feature-flags-architect/SKILL.md", "packs": [ "ai-agent-development" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ai-engineering/feature-flags-architect/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ai-engineering/feature-flags-architect/SKILL.md" }, { "name": "feishu-dingtalk-bridge", "domain": "integrations", "path": "skills/integrations/feishu-dingtalk-bridge", "file": "skills/integrations/feishu-dingtalk-bridge/SKILL.md", "desc": "Compose and parse chat messages across Feishu (Lark), DingTalk, and WeCom group robots, normalizing three different auth and payload protocols behind one workflow. Use when the user asks to send a Feishu bot message / send a DingTalk notification / send a WeCom message / push a notification to a group / push a bot alert / push a daily report to a group / send to Feishu bot / DingTalk webhook / WeCom group robot / push alert to chat group. Do NOT use for Notion pages (use notion-workspace), issue trackers (use issue-tracker-sync), or file archiving (use cloud-drive-manager).", "desc_zh": "编排并解析飞书、钉钉、企业微信群机器人的聊天消息，统一三套认证与消息载荷协议，向群组推送告警或日报。", "license": "Apache-2.0", "compatibility": "Python 3.8+ stdlib only for the helper script. Live execution needs outbound HTTPS to open.feishu.cn / oapi.dingtalk.com / qyapi.weixin.qq.com and the webhook token, access_token or sign secret in environment variables.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/integrations/feishu-dingtalk-bridge/SKILL.md", "packs": [ "workspace-integrations" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/feishu-dingtalk-bridge/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/feishu-dingtalk-bridge/SKILL.md" }, { "name": "feynman-explainer", "domain": "education", "path": "skills/education/feynman-explainer", "file": "skills/education/feynman-explainer/SKILL.md", "desc": "Teach one concept interactively via the Feynman loop: simplest-possible explanation, one diagnostic question, inspect the learner's answer for gaps, repair with analogy or worked example, require teach-back, then a transfer challenge — with depth control per learner level. Use when the user asks to explain a concept / teach me this / explain in plain language / why don't I understand / teach-back, or when exercise results show a failed checkpoint needing remedial teaching. Do NOT use for course skeleton design (course-designer), nor for generating question banks (exercise-generator).", "desc_zh": "用费曼循环交互式讲解一个概念：最简解释、诊断提问、定位理解缺口、用类比或示例修复、复述检验与迁移挑战。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/education/feynman-explainer/SKILL.md", "packs": [ "edu-craft" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/education/feynman-explainer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/education/feynman-explainer/SKILL.md" }, { "name": "file-organizer", "domain": "tools", "path": "skills/tools/file-organizer", "file": "skills/tools/file-organizer/SKILL.md", "desc": "Audit and reorganize a messy directory with a dry-run-first planner: extension/date/size statistics, fast duplicate detection (size + first-1KB hash), and a reviewable move plan before anything touches disk. Use when the user asks to organize my files / file cleanup / find duplicate files / sort downloads folder / tidy directory / file archiving / batch organize. Do NOT use for deleting files, renaming in place, syncing between machines, or touching system/VCS directories.", "desc_zh": "审计并整理杂乱目录：先干跑生成可复核的移动方案，统计扩展名、日期与大小并快速检测重复文件。", "license": "Apache-2.0", "compatibility": "Python 3.8+ stdlib only (no third-party packages). Reads and moves files inside the directory you pass; apply is dry-run unless --yes is given.", "version": "1.1", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/tools/file-organizer/SKILL.md", "packs": [ "toolsmith" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/tools/file-organizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/tools/file-organizer/SKILL.md" }, { "name": "finishing-a-development-branch", "domain": "programming", "path": "skills/programming/methodology/finishing-a-development-branch", "file": "skills/programming/methodology/finishing-a-development-branch/SKILL.md", "desc": "Use when implementation is complete, all tests pass, and you need to decide how to integrate the work", "desc_zh": "实现完成且所有测试通过后，决定如何整合开发分支的工作成果，收尾并合并特性分支。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/finishing-a-development-branch/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/finishing-a-development-branch/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/finishing-a-development-branch/SKILL.md" }, { "name": "firebase-basics", "domain": "programming", "path": "skills/programming/cloud/firebase-basics", "file": "skills/programming/cloud/firebase-basics/SKILL.md", "desc": "Provides foundational Firebase CLI setup, CLI installation, version checks (`firebase-tools@latest --version`), CLI login (including --no-localhost), project creation, project selection (`firebase use`), and app config file downloads (`google-services.json`, `GoogleService-Info.plist`). Use ONLY for CLI login, project creation/switching, or downloading app config files. Don't use for Firebase Hosting deploy, Firestore, Auth, App Hosting, Data Connect, Crashlytics, or Remote Config.", "desc_zh": "Firebase CLI 基础操作：安装与版本检查、登录、创建和切换项目、下载应用配置文件（google-services.json 等）。", "license": "Apache-2.0", "compatibility": "需要 Firebase CLI（firebase-tools）与项目凭据。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/firebase-basics/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/firebase-basics/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/firebase-basics/SKILL.md" }, { "name": "firebase-security-rules-auditor", "domain": "programming", "path": "skills/programming/cloud/firebase-security-rules-auditor", "file": "skills/programming/cloud/firebase-security-rules-auditor/SKILL.md", "desc": "Audits Firebase (Firestore, Cloud Storage) security rules for vulnerabilities, privilege escalation, role bypasses, create vs update inconsistencies, resource exhaustion, type safety, size limits, and hasOnly ownership checks. Use when auditing/reviewing rules, running red-team rule assessments, or scoring against auditor checklists. Don't use for Firebase CLI (login, deploy), Auth, Crashlytics, Remote Config, or database queries.", "desc_zh": "审计 Firebase Firestore 与 Cloud Storage 安全规则漏洞，检查提权、角色绕过、创建与更新不一致、资源耗尽、类型和大小限制。", "license": "Apache-2.0", "compatibility": "需要 Firebase CLI（firebase-tools）与项目凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/firebase-security-rules-auditor/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/firebase-security-rules-auditor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/firebase-security-rules-auditor/SKILL.md" }, { "name": "format-converter", "domain": "tools", "path": "skills/tools/format-converter", "file": "skills/tools/format-converter/SKILL.md", "desc": "One entry point for format conversion: documents via pandoc, images via Pillow (with resize and quality), audio/video via ffmpeg, plus directory batch mode. Probes every external dependency first and prints the exact install command when something is missing. Use when the user asks to convert file format / png to jpg / batch convert images / compress image size / video transcode / format conversion / media conversion utility. Do NOT use for editing file contents, extracting archives, or OCR of scanned documents.", "desc_zh": "一站式格式转换入口：用 pandoc 转文档、Pillow 转图片（可缩放压缩）、ffmpeg 转音视频，支持目录批量并预先探测依赖。", "license": "Apache-2.0", "compatibility": "Python 3.8+. Image mode requires Pillow (pip install pillow). Document mode requires pandoc. Media mode requires ffmpeg. Batch mode defaults to dry-run and needs --yes to write.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/tools/format-converter/SKILL.md", "packs": [ "toolsmith" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/tools/format-converter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/tools/format-converter/SKILL.md" }, { "name": "frontend-component-lab", "domain": "design", "path": "skills/design/frontend-component-lab", "file": "skills/design/frontend-component-lab/SKILL.md", "desc": "Scaffold production-grade React/TypeScript UI components wired to a design token system: component + CSS Modules + design-tokens.json, plus a review checklist that kills the classic LLM frontend sins (magic numbers, inline styles, untyped props, missing a11y). Use when the user asks to build a component / create a React component / component scaffold / UI component library / design system token / frontend design system / component spec. Do NOT use for pure image/design-mockup generation (use image-prompt-engineer) or for backend work.", "desc_zh": "搭建生产级 React 与 TypeScript 组件脚手架，配套 CSS Modules 和 design-tokens.json，并提供规避魔法数字、内联样式等问题的审查清单。", "license": "Apache-2.0", "compatibility": "Outputs .tsx/.css/.json source files; user wires into their TS project themselves (no network, no npm install needed to generate).", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/design/frontend-component-lab/SKILL.md", "packs": [ "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/frontend-component-lab/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/frontend-component-lab/SKILL.md" }, { "name": "frontend-design-director", "domain": "design", "path": "skills/design/frontend-design-director", "file": "skills/design/frontend-design-director/SKILL.md", "desc": "Act as a frontend design director who pulls AI-generated UI away from templated defaults toward opinionated, brief-specific design. Runs a two-pass workflow - first produce a named design-token plan (palette, type, layout concept, unique principle) without touching code, audit that plan against an AI-tell checklist, then implement with restrained motion and typographic care, and close with self-critique. Use when the user asks for frontend design / page design / UI design / landing page / visual design / website page / page beautification. Do NOT use for image or poster generation (design-brief-interpreter owns that), nor for backend or non-visual code tasks.", "desc_zh": "以前端设计总监视角做页面设计，先产出设计令牌方案再落地实现，摆脱模板化默认风格，含自查与自我批判。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime deps.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/design/frontend-design-director/SKILL.md", "packs": [ "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/frontend-design-director/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/frontend-design-director/SKILL.md" }, { "name": "get-available-resources", "domain": "programming", "path": "skills/programming/science/get-available-resources", "file": "skills/programming/science/get-available-resources/SKILL.md", "desc": "Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.", "desc_zh": "探测主机硬件与有效 CPU、内存、磁盘、调度器、容器和加速器上限，输出脱敏 JSON 快照，供资源敏感任务规划。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/get-available-resources/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/get-available-resources/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/get-available-resources/SKILL.md" }, { "name": "git-advanced-workflows", "domain": "programming", "path": "skills/programming/quality/git-advanced-workflows", "file": "skills/programming/quality/git-advanced-workflows/SKILL.md", "desc": "Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.", "desc_zh": "掌握高级 Git 工作流：变基、拣选、bisect、worktree 与 reflog，维护整洁历史并从各种仓库问题中恢复。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/git-advanced-workflows/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/git-advanced-workflows/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/git-advanced-workflows/SKILL.md" }, { "name": "git-worktree-manager", "domain": "programming", "path": "skills/programming/github/git-worktree-manager", "file": "skills/programming/github/git-worktree-manager/SKILL.md", "desc": "Run parallel feature work safely with Git worktrees, using git worktrees, or doing multi-branch parallel development. Standardizes branch isolation, port allocation, environment sync, and cleanup so each worktree behaves like an independent local app. Optimized for multi-agent workflows where each agent or terminal session owns one worktree. Use when running multiple feature branches simultaneously, isolating experimental work, or coordinating multi-agent development across the same repo. Do NOT use for resolving merge conflicts inside a worktree.", "desc_zh": "用 Git worktree 安全开展多分支并行开发，标准化分支隔离、端口分配、环境同步与清理，适配多代理协作。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-09", "repo_file": "skills/programming/github/git-worktree-manager/SKILL.md", "packs": [ "github-workflow" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/github/git-worktree-manager/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/github/git-worktree-manager/SKILL.md" }, { "name": "github-repo-signals", "domain": "marketing", "path": "skills/marketing/gtm/github-repo-signals", "file": "skills/marketing/gtm/github-repo-signals/SKILL.md", "desc": "Extract and score leads from GitHub repositories by analyzing stars, forks, issues, PRs, comments, and contributions. Produces unified multi-repo CSV with deduplicated user profiles. No paid API credits required.", "desc_zh": "从 GitHub 仓库的 star / fork / issue / PR / 评论互动中提取并打分线索，产出多仓线索表。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/github-repo-signals/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/github-repo-signals/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/github-repo-signals/SKILL.md" }, { "name": "go", "domain": "programming", "path": "skills/programming/standards/go", "file": "skills/programming/standards/go/SKILL.md", "desc": "Expert in Go/Golang development with focus on APIs, microservices, and clean architecture", "desc_zh": "Go 语言工程规范：API、微服务与整洁架构实践。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/go/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/go/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/go/SKILL.md" }, { "name": "google-search-ads-builder", "domain": "marketing", "path": "skills/marketing/gtm/google-search-ads-builder", "file": "skills/marketing/gtm/google-search-ads-builder/SKILL.md", "desc": "End-to-end Google Search Ads campaign builder. Performs deep keyword research (competitor SEO, review language mining, Reddit/HN community terminology, site audit), builds keyword architecture with funnel mapping and intent classification, creates ad group structure, generates headline/description variants, builds negative keyword lists, recommends bid strategy, and exports a campaign-ready CSV for Google Ads Editor import.", "desc_zh": "端到端搭建 Google 搜索广告：关键词深挖、广告组结构、文案与出价起量路径。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/google-search-ads-builder/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/google-search-ads-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/google-search-ads-builder/SKILL.md" }, { "name": "grill-me", "domain": "programming", "path": "skills/programming/engineering/grill-me", "file": "skills/programming/engineering/grill-me/SKILL.md", "desc": "A relentless interview to sharpen a plan or design.", "desc_zh": "通过持续追问的犀利访谈，反复打磨并完善你的计划或设计方案。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/grill-me/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/grill-me/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/grill-me/SKILL.md" }, { "name": "gws-calendar", "domain": "integrations", "path": "skills/integrations/gws/gws-calendar", "file": "skills/integrations/gws/gws-calendar/SKILL.md", "desc": "Google Calendar: Manage calendars and events.", "desc_zh": "通过 gws CLI 管理 Google 日历和日程事件，创建、查看、修改与删除日历及活动。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-calendar/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-calendar/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-calendar/SKILL.md" }, { "name": "gws-calendar-agenda", "domain": "integrations", "path": "skills/integrations/gws/gws-calendar-agenda", "file": "skills/integrations/gws/gws-calendar-agenda/SKILL.md", "desc": "Google Calendar: Show upcoming events across all calendars.", "desc_zh": "通过 gws CLI 汇总展示所有 Google 日历中即将到来的日程活动安排。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-calendar-agenda/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-calendar-agenda/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-calendar-agenda/SKILL.md" }, { "name": "gws-calendar-insert", "domain": "integrations", "path": "skills/integrations/gws/gws-calendar-insert", "file": "skills/integrations/gws/gws-calendar-insert/SKILL.md", "desc": "Google Calendar: create a new event via the gws CLI. Use when the user wants to add an event or schedule a meeting on Google Calendar.", "desc_zh": "Google 日历：新建日程（时间、参会人、会议室与提醒）。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-calendar-insert/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-calendar-insert/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-calendar-insert/SKILL.md" }, { "name": "gws-docs", "domain": "integrations", "path": "skills/integrations/gws/gws-docs", "file": "skills/integrations/gws/gws-docs/SKILL.md", "desc": "Google Docs: read and write documents (create, fetch text, insert/update content, apply formatting) via the gws CLI", "desc_zh": "\\\"Google Docs：读写文档内容（创建、取正文、插入、替换、格式化）。\\\"", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-docs/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-docs/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-docs/SKILL.md" }, { "name": "gws-docs-write", "domain": "integrations", "path": "skills/integrations/gws/gws-docs-write", "file": "skills/integrations/gws/gws-docs-write/SKILL.md", "desc": "Google Docs: append text to an existing document via the gws CLI. Use when the user wants to add or append content to a Google Doc.", "desc_zh": "Google Docs：向文档追加写入内容。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-docs-write/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-docs-write/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-docs-write/SKILL.md" }, { "name": "gws-drive", "domain": "integrations", "path": "skills/integrations/gws/gws-drive", "file": "skills/integrations/gws/gws-drive/SKILL.md", "desc": "Google Drive: Manage files, folders, and shared drives.", "desc_zh": "通过 gws CLI 管理 Google Drive 的文件、文件夹和共享云盘，完成查找、上传与整理。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-drive/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-drive/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-drive/SKILL.md" }, { "name": "gws-drive-upload", "domain": "integrations", "path": "skills/integrations/gws/gws-drive-upload", "file": "skills/integrations/gws/gws-drive-upload/SKILL.md", "desc": "Google Drive: upload a file with automatic metadata via the gws CLI. Use when the user wants to put a local file into Google Drive.", "desc_zh": "Google Drive：上传文件并自动补全元数据。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-drive-upload/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-drive-upload/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-drive-upload/SKILL.md" }, { "name": "gws-gmail", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail", "file": "skills/integrations/gws/gws-gmail/SKILL.md", "desc": "Gmail: send, read, reply, forward, filter, triage and watch email via the gws CLI", "desc_zh": "\\\"Gmail：收发、读取、回复、转发、过滤、分诊与监听邮件。\\\"", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail/SKILL.md" }, { "name": "gws-gmail-forward", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-forward", "file": "skills/integrations/gws/gws-gmail-forward/SKILL.md", "desc": "Gmail: forward a message to new recipients via the gws CLI. Use when the user wants to pass an email on to someone else.", "desc_zh": "Gmail：把邮件转发给新收件人。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-forward/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-forward/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-forward/SKILL.md" }, { "name": "gws-gmail-read", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-read", "file": "skills/integrations/gws/gws-gmail-read/SKILL.md", "desc": "Gmail: read a message and extract its body or headers via the gws CLI. Use when the user wants the contents of a specific email.", "desc_zh": "Gmail：读取邮件正文或头部信息。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-read/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-read/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-read/SKILL.md" }, { "name": "gws-gmail-reply", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-reply", "file": "skills/integrations/gws/gws-gmail-reply/SKILL.md", "desc": "Gmail: reply to a message, handling threading automatically, via the gws CLI. Use when the user wants to answer an email.", "desc_zh": "Gmail：回复邮件，自动处理会话串。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-reply/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-reply/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-reply/SKILL.md" }, { "name": "gws-gmail-reply-all", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-reply-all", "file": "skills/integrations/gws/gws-gmail-reply-all/SKILL.md", "desc": "Gmail: reply-all to a message, handling threading automatically, via the gws CLI. Use when the user wants to answer the whole recipient list.", "desc_zh": "Gmail：全部回复，自动处理会话串。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-reply-all/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-reply-all/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-reply-all/SKILL.md" }, { "name": "gws-gmail-send", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-send", "file": "skills/integrations/gws/gws-gmail-send/SKILL.md", "desc": "Gmail send: compose and send an email (to/cc/bcc, subject, body, attachments) via the gws CLI", "desc_zh": "\\\"Gmail：撰写并发送邮件（收件人、主题、正文、附件）。\\\"", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-send/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-send/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-send/SKILL.md" }, { "name": "gws-gmail-triage", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-triage", "file": "skills/integrations/gws/gws-gmail-triage/SKILL.md", "desc": "Gmail: show an unread inbox summary (sender, subject, date) via the gws CLI. Use when the user wants to scan or triage unread email.", "desc_zh": "Gmail：快速分诊收件箱——未读邮件摘要（发件人/主题/日期）。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-triage/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-triage/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-triage/SKILL.md" }, { "name": "gws-gmail-watch", "domain": "integrations", "path": "skills/integrations/gws/gws-gmail-watch", "file": "skills/integrations/gws/gws-gmail-watch/SKILL.md", "desc": "Gmail: watch for new emails and stream them as NDJSON via the gws CLI. Use when the user wants a live feed of incoming mail.", "desc_zh": "Gmail：监听新邮件并以 NDJSON 流式输出。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-gmail-watch/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-gmail-watch/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-gmail-watch/SKILL.md" }, { "name": "gws-people", "domain": "integrations", "path": "skills/integrations/gws/gws-people", "file": "skills/integrations/gws/gws-people/SKILL.md", "desc": "Google People: Manage contacts and profiles.", "desc_zh": "通过 gws CLI 管理 Google People 联系人信息与个人资料，查询和更新通讯录条目。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-people/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-people/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-people/SKILL.md" }, { "name": "gws-shared", "domain": "integrations", "path": "skills/integrations/gws/gws-shared", "file": "skills/integrations/gws/gws-shared/SKILL.md", "desc": "gws CLI: Shared patterns for authentication, global flags, and output formatting.", "desc_zh": "gws CLI 通用模式说明：认证方式、全局参数与输出格式，供各 Google Workspace 技能共享复用。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-shared/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-shared/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-shared/SKILL.md" }, { "name": "gws-sheets", "domain": "integrations", "path": "skills/integrations/gws/gws-sheets", "file": "skills/integrations/gws/gws-sheets/SKILL.md", "desc": "Google Sheets: Read and write spreadsheets.", "desc_zh": "通过 gws CLI 读写 Google Sheets 电子表格，查看、编辑和更新单元格与区域数据。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-sheets/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-sheets/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-sheets/SKILL.md" }, { "name": "gws-sheets-append", "domain": "integrations", "path": "skills/integrations/gws/gws-sheets-append", "file": "skills/integrations/gws/gws-sheets-append/SKILL.md", "desc": "Google Sheets: append a row to a spreadsheet via the gws CLI. Use when the user wants to add a record or line to a sheet.", "desc_zh": "Google Sheets：向表格追加一行数据。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-sheets-append/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-sheets-append/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-sheets-append/SKILL.md" }, { "name": "gws-sheets-read", "domain": "integrations", "path": "skills/integrations/gws/gws-sheets-read", "file": "skills/integrations/gws/gws-sheets-read/SKILL.md", "desc": "Google Sheets: read values from a spreadsheet range via the gws CLI. Use when the user wants data out of a Google Sheet.", "desc_zh": "Google Sheets：读取表格区域的值。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-sheets-read/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-sheets-read/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-sheets-read/SKILL.md" }, { "name": "gws-tasks", "domain": "integrations", "path": "skills/integrations/gws/gws-tasks", "file": "skills/integrations/gws/gws-tasks/SKILL.md", "desc": "Google Tasks: Manage task lists and tasks.", "desc_zh": "通过 gws CLI 管理 Google Tasks 任务清单与待办任务，创建、查看并更新任务状态。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-tasks/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-tasks/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-tasks/SKILL.md" }, { "name": "gws-workflow", "domain": "integrations", "path": "skills/integrations/gws/gws-workflow", "file": "skills/integrations/gws/gws-workflow/SKILL.md", "desc": "Google Workspace workflows: cross-service productivity flows that chain Gmail, Drive, Calendar and Tasks via the gws CLI. Use when the user wants an end-to-end routine rather than a single API call.", "desc_zh": "Google Workspace 跨服务效率工作流入口（串联 Gmail / Drive / Calendar / Tasks 等）。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-workflow/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-workflow/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-workflow/SKILL.md" }, { "name": "gws-workflow-email-to-task", "domain": "integrations", "path": "skills/integrations/gws/gws-workflow-email-to-task", "file": "skills/integrations/gws/gws-workflow-email-to-task/SKILL.md", "desc": "Workspace workflow: convert a Gmail message into a Google Tasks entry via the gws CLI. Use when the user wants to turn an email into a tracked task.", "desc_zh": "工作流：把 Gmail 邮件转成 Google Tasks 待办。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-workflow-email-to-task/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-workflow-email-to-task/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-workflow-email-to-task/SKILL.md" }, { "name": "gws-workflow-file-announce", "domain": "integrations", "path": "skills/integrations/gws/gws-workflow-file-announce", "file": "skills/integrations/gws/gws-workflow-file-announce/SKILL.md", "desc": "Workspace workflow: announce a Drive file in a Google Chat space via the gws CLI. Use when the user wants to share a file with a team channel.", "desc_zh": "工作流：在 Chat 空间里公告一个 Drive 文件。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-workflow-file-announce/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-workflow-file-announce/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-workflow-file-announce/SKILL.md" }, { "name": "gws-workflow-meeting-prep", "domain": "integrations", "path": "skills/integrations/gws/gws-workflow-meeting-prep", "file": "skills/integrations/gws/gws-workflow-meeting-prep/SKILL.md", "desc": "Workspace workflow: prepare for the next meeting — agenda, attendees and linked docs — via the gws CLI. Use when the user asks for meeting preparation.", "desc_zh": "工作流：会议准备——议程、参会人与关联文档。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-workflow-meeting-prep/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-workflow-meeting-prep/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-workflow-meeting-prep/SKILL.md" }, { "name": "gws-workflow-standup-report", "domain": "integrations", "path": "skills/integrations/gws/gws-workflow-standup-report", "file": "skills/integrations/gws/gws-workflow-standup-report/SKILL.md", "desc": "Google Workflow: Today's meetings + open tasks as a standup summary.", "desc_zh": "汇总今天的 Google 日历会议与未完成待办任务，生成每日站会摘要报告。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-workflow-standup-report/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-workflow-standup-report/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-workflow-standup-report/SKILL.md" }, { "name": "gws-workflow-weekly-digest", "domain": "integrations", "path": "skills/integrations/gws/gws-workflow-weekly-digest", "file": "skills/integrations/gws/gws-workflow-weekly-digest/SKILL.md", "desc": "Google Workflow: Weekly summary: this week's meetings + unread email count.", "desc_zh": "汇总本周的 Google 日历会议与未读邮件数量，生成每周摘要与周报。", "license": "Apache-2.0", "compatibility": "需要 Google Workspace CLI（gws）与 OAuth 凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/gws/gws-workflow-weekly-digest/SKILL.md", "packs": [ "google-workspace" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/gws/gws-workflow-weekly-digest/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/gws/gws-workflow-weekly-digest/SKILL.md" }, { "name": "handoff", "domain": "programming", "path": "skills/programming/engineering/handoff", "file": "skills/programming/engineering/handoff/SKILL.md", "desc": "Compact the current conversation into a handoff document for another agent to pick up.", "desc_zh": "把当前对话压缩成一份交接文档，方便另一个代理快速接手继续工作。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/handoff/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/handoff/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/handoff/SKILL.md" }, { "name": "helm-chart-builder", "domain": "programming", "path": "skills/programming/containers/helm-chart-builder", "file": "skills/programming/containers/helm-chart-builder/SKILL.md", "desc": "Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing. Use when: the user wants to write a Helm chart, write K8s deployment manifests, create or improve Helm charts, design values.yaml files, implement template helpers, audit chart security (RBAC, network policies, pod security), manage subcharts, or run helm lint/test. Do NOT use for deploying charts to a live cluster (template generation only).", "desc_zh": "开发与完善 Helm chart：脚手架搭建、values.yaml 设计、Kubernetes 部署模板编写、依赖与子 chart 管理、安全加固及 lint 与 test 测试。", "license": "Apache-2.0", "compatibility": "Requires helm CLI for lint/template; network only for `helm dependency update`. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "pipeline-builder", "verified": "2026-09-09", "repo_file": "skills/programming/containers/helm-chart-builder/SKILL.md", "packs": [ "containers" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/containers/helm-chart-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/containers/helm-chart-builder/SKILL.md" }, { "name": "hf-cli", "domain": "programming", "path": "skills/programming/ml/hf-cli", "file": "skills/programming/ml/hf-cli/SKILL.md", "desc": "Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.", "desc_zh": "使用 Hugging Face Hub CLI（hf）下载、上传和管理模型、数据集、Spaces、仓库与作业，替代已废弃的 huggingface-cli。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/hf-cli/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/hf-cli/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/hf-cli/SKILL.md" }, { "name": "home-renovation-avoidance", "domain": "life", "path": "skills/life/home-renovation-avoidance", "file": "skills/life/home-renovation-avoidance/SKILL.md", "desc": "Consumer-protection guide for Chinese home renovation: avoid contractor scams, material substitution, and inflated pricing; know numeric acceptance thresholds. Use when the user is renovating, signing a renovation contract, selecting materials, or doing construction acceptance inspection. Triggers: renovation pitfalls / contractor scams / home renovation / construction acceptance / material selection / hidden-works check. Do NOT use for: interior design aesthetics (use design skills), or as legal advice.", "desc_zh": "中国家装消费避坑指南：识别装修公司套路、偷换材料和虚高报价，掌握施工验收的数字标准与隐蔽工程检查。", "license": "Apache-2.0", "compatibility": "Pure prompt skill, no scripts.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-25", "repo_file": "skills/life/home-renovation-avoidance/SKILL.md", "packs": [ "life-essentials" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/life/home-renovation-avoidance/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/life/home-renovation-avoidance/SKILL.md" }, { "name": "huggingface-best", "domain": "programming", "path": "skills/programming/ml/huggingface-best", "file": "skills/programming/ml/huggingface-best/SKILL.md", "desc": "Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: \"best model for X\", \"what model should I use for\", \"top models for [task]\", \"which model runs on my laptop/machine/device\", \"recommend a model for\", \"what LLM should I use for\", \"compare models for\", \"what's state of the art for\", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.", "desc_zh": "按任务推荐并对比最优 AI 模型：依据基准分数与榜单，回答某用途该选哪个模型、哪些模型能在本地设备运行。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-best/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-best/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-best/SKILL.md" }, { "name": "huggingface-community-evals", "domain": "programming", "path": "skills/programming/ml/huggingface-community-evals", "file": "skills/programming/ml/huggingface-community-evals/SKILL.md", "desc": "Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.", "desc_zh": "在本地硬件上用 inspect-ai 与 lighteval 对 Hugging Face Hub 模型做评测，并选择 vLLM、Transformers 或 accelerate 后端。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-community-evals/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-community-evals/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-community-evals/SKILL.md" }, { "name": "huggingface-datasets", "domain": "programming", "path": "skills/programming/ml/huggingface-datasets", "file": "skills/programming/ml/huggingface-datasets/SKILL.md", "desc": "Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.", "desc_zh": "使用 Hugging Face Dataset Viewer API 获取数据集子集与切分元数据，分页取行、搜索文本、过滤数据并下载 parquet。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-datasets/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-datasets/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-datasets/SKILL.md" }, { "name": "huggingface-gradio", "domain": "programming", "path": "skills/programming/ml/huggingface-gradio", "file": "skills/programming/ml/huggingface-gradio/SKILL.md", "desc": "Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.", "desc_zh": "用 Python 构建 Gradio Web 界面与演示应用，涵盖组件、事件监听、布局和聊天机器人开发。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-gradio/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-gradio/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-gradio/SKILL.md" }, { "name": "huggingface-llm-trainer", "domain": "programming", "path": "skills/programming/ml/huggingface-llm-trainer", "file": "skills/programming/ml/huggingface-llm-trainer/SKILL.md", "desc": "Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.", "desc_zh": "用 TRL 或 Unsloth 在 Hugging Face Jobs 上训练微调语言与视觉模型，覆盖 SFT、DPO、GRPO、奖励建模及 GGUF 转换。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-llm-trainer/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-llm-trainer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-llm-trainer/SKILL.md" }, { "name": "huggingface-local-models", "domain": "programming", "path": "skills/programming/ml/huggingface-local-models", "file": "skills/programming/ml/huggingface-local-models/SKILL.md", "desc": "Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.", "desc_zh": "挑选可用 llama.cpp 与 GGUF 在本地 CPU、Mac Metal、CUDA 或 ROCm 运行的模型，含量化选择、GGUF 查找与本地推理服务。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-local-models/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-local-models/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-local-models/SKILL.md" }, { "name": "huggingface-papers", "domain": "programming", "path": "skills/programming/ml/huggingface-papers", "file": "skills/programming/ml/huggingface-papers/SKILL.md", "desc": "Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.", "desc_zh": "查阅 Hugging Face 论文页面并用 papers API 获取作者、关联模型与数据集、代码仓库等结构化元数据，总结或分析 AI 论文。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-papers/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-papers/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-papers/SKILL.md" }, { "name": "huggingface-spaces", "domain": "programming", "path": "skills/programming/ml/huggingface-spaces", "file": "skills/programming/ml/huggingface-spaces/SKILL.md", "desc": "Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.", "desc_zh": "在 Hugging Face Spaces 上构建、部署和维护应用，支持 Gradio、Docker、Static SDK、ZeroGPU 与专用硬件，并排查构建运行故障。", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/ml/huggingface-spaces/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/huggingface-spaces/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/huggingface-spaces/SKILL.md" }, { "name": "humanize-rewriter", "domain": "writing", "path": "skills/writing/humanize-rewriter", "file": "skills/writing/humanize-rewriter/SKILL.md", "desc": "Rewrite AI-flavored text into natural human writing: inject burstiness (long-short sentence rhythm), upgrade abstractions to concrete details, add first-person reaction and controlled imperfection, while freezing all facts, numbers, terms and conclusions. Use when the user asks to remove AI flavor / humanize this text / make it sound human / rewrite to lower the AI rate / humanize text / make it sound human / rewrite the AI draft. Do NOT use for legal, medical or academic-submission texts, and never invent facts the source does not contain.", "desc_zh": "把 AI 味文本改写为自然的人类写作，加入长短句节奏和具体细节，同时冻结全部事实、数字、术语和结论不变。", "license": "Apache-2.0", "compatibility": "Needs Python 3.8+ (stdlib only) for the baseline/rescan step via the ai-trace-auditor bundle scanner; if unavailable, degrade to its manual checklist and mark the report manual_mode.", "version": "2.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-21", "repo_file": "skills/writing/humanize-rewriter/SKILL.md", "packs": [ "de-ai-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/humanize-rewriter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/humanize-rewriter/SKILL.md" }, { "name": "humanizer", "domain": "writing", "path": "skills/writing/humanizer", "file": "skills/writing/humanizer/SKILL.md", "desc": "Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler. Based on Wikipedia's \"Signs of AI writing.\"", "desc_zh": "把 AI 腔调的文本改写得更像真人书写且不改变原意，依据维基百科的 AI 写作迹象清除套话、强行对比与排比。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/writing/humanizer/SKILL.md", "packs": [ "creator-boosters" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/humanizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/humanizer/SKILL.md" }, { "name": "hunting-for-lateral-movement-via-wmi", "domain": "programming", "path": "skills/programming/security/hunting-for-lateral-movement-via-wmi", "file": "skills/programming/security/hunting-for-lateral-movement-via-wmi/SKILL.md", "desc": "Detects WMI-based lateral movement (e.g. wmic process call create,", "desc_zh": "用 WMI 遥测狩猎横向移动：排查可疑远程执行、进程创建与网络连接。", "license": "Apache-2.0", "compatibility": "纯提示型；配套命令面向真实安全工具链（Volatility/Splunk/Wireshark/云 CLI 等），请在获得授权的环境使用。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/security/hunting-for-lateral-movement-via-wmi/SKILL.md", "packs": [ "cybersecurity-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/hunting-for-lateral-movement-via-wmi/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/hunting-for-lateral-movement-via-wmi/SKILL.md" }, { "name": "hyperframes", "domain": "video", "path": "skills/video/hyperframes", "file": "skills/video/hyperframes/SKILL.md", "desc": "Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.", "desc_zh": "制作、编辑、动画或渲染视频、动画与动态图形的必读入口，涵盖宣传片、讲解片、字幕短片、标题卡、幻灯片与 Remotion 移植。", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 HyperFrames CLI（npx）；渲染消耗本地资源。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/video/hyperframes/SKILL.md", "packs": [ "video-code" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/hyperframes/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/hyperframes/SKILL.md" }, { "name": "hyperframes-animation", "domain": "video", "path": "skills/video/hyperframes-animation", "file": "skills/video/hyperframes-animation/SKILL.md", "desc": "All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.", "desc_zh": "HyperFrames 动画知识库：原子动效规则、多阶段场景蓝图、场景转场，以及 GSAP、Lottie、Three.js、Anime.js、CSS 等运行时适配器。", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 HyperFrames CLI（npx）；渲染消耗本地资源。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/video/hyperframes-animation/SKILL.md", "packs": [ "video-code" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/hyperframes-animation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/hyperframes-animation/SKILL.md" }, { "name": "hyperframes-audio", "domain": "video", "path": "skills/video/hyperframes-audio", "file": "skills/video/hyperframes-audio/SKILL.md", "desc": "Use when audio already placed in a HyperFrames composition needs to be mixed: fade-in/fade-out, crossfade, track gain or volume, volume automation, ducking, a music bed that fights a voiceover (voiceover carve), effects on a track (EQ, compressor, limiter, gate, saturation, delay, reverb, chorus, phaser, bitcrush), automation envelopes drawn on a track's volume or any effect parameter, or one submix bus carrying a chain, a fader and an automation clock for several tracks at once (`「hf-audio-group」`). Don't use for sourcing or generating audio — finding BGM, SFX, or making a voiceover is `/media-use`. Don't use for clip timing or track layout, which is `/hyperframes-core`.", "desc_zh": "在 HyperFrames 合成中混音：淡入淡出、交叉淡化、音量与自动化、闪避、音效处理（EQ、压缩、混响等）与多轨总线。", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 HyperFrames CLI（npx）；渲染消耗本地资源。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/video/hyperframes-audio/SKILL.md", "packs": [ "video-code" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/hyperframes-audio/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/hyperframes-audio/SKILL.md" }, { "name": "hyperframes-cli", "domain": "video", "path": "skills/video/hyperframes-cli", "file": "skills/video/hyperframes-cli/SKILL.md", "desc": "Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, timeline, history, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.", "desc_zh": "使用 HyperFrames CLI 开发流程：初始化、添加、捕获、检查、渲染、发布、诊断等命令，覆盖本地、云端、Lambda 与 Cloud Run 渲染。", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 HyperFrames CLI（npx）；渲染消耗本地资源。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/video/hyperframes-cli/SKILL.md", "packs": [ "video-code" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/hyperframes-cli/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/hyperframes-cli/SKILL.md" }, { "name": "hyperframes-keyframes", "domain": "video", "path": "skills/video/hyperframes-keyframes", "file": "skills/video/hyperframes-keyframes/SKILL.md", "desc": "Use when a HyperFrames composition needs a punch-in, punch-out, zoom, reframe, Ken Burns treatment, camera move, visual match/whip handoff, or other seek-safe 2D/3D keyframes; also for GSAP, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, text trails, 3D depth, or `hyperframes keyframes` diagnostics. Don't use for broad scene strategy, brand design, media sourcing, captions, or general video planning.", "desc_zh": "为 HyperFrames 合成设置关键帧：推拉镜头、缩放、重构画面、Ken Burns、运镜、遮罩、SVG 变形与 3D 景深等。", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 HyperFrames CLI（npx）；渲染消耗本地资源。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/video/hyperframes-keyframes/SKILL.md", "packs": [ "video-code" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/hyperframes-keyframes/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/hyperframes-keyframes/SKILL.md" }, { "name": "hypothesis-generation", "domain": "programming", "path": "skills/programming/science/hypothesis-generation", "file": "skills/programming/science/hypothesis-generation/SKILL.md", "desc": "Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Use when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.", "desc_zh": "把观察或初步发现转化为可检验的研究计划：提出科学问题、候选假设、竞争解释、判别性预测与预注册分析方案。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/hypothesis-generation/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/hypothesis-generation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/hypothesis-generation/SKILL.md" }, { "name": "image-batch-processor", "domain": "design", "path": "skills/design/image-batch-processor", "file": "skills/design/image-batch-processor/SKILL.md", "desc": "Batch-process a folder of images locally with Pillow: compress (JPEG quality), resize to fit (keep aspect ratio), crop, overlay text/image watermarks with position and opacity, convert between jpg/png/webp, and optional OCR to .txt. Use when the user asks to batch compress images / resize images in a folder / add a watermark / OCR a screenshot / image batch processing / convert images to webp / prep platform covers. Do NOT use for generating new images from text (use image-generation), posting or uploading to platforms, or pixel-level creative editing in a raster editor.", "desc_zh": "用 Pillow 批量处理文件夹内的图片：压缩、等比缩放、裁剪、加水印、jpg 与 png 与 webp 互转及可选 OCR 转文本。", "license": "Apache-2.0", "compatibility": "Python 3.8+; requires Pillow (pip install pillow). --ocr additionally needs pytesseract and a tesseract binary; it degrades to a warning if absent. Reads inputs, writes only to --output; originals are never modified.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-09-25", "repo_file": "skills/design/image-batch-processor/SKILL.md", "packs": [ "image-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/image-batch-processor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/image-batch-processor/SKILL.md" }, { "name": "image-generation", "domain": "video", "path": "skills/video/image-generation", "file": "skills/video/image-generation/SKILL.md", "desc": "Generate images from text prompts or reference images through a local generation gateway (text-to-image and image-to-image with polling and download), including platform-specific covers and banners at the right dimensions (WeChat MP 896x384, Xiaohongshu 3:4, Bilibili 16:9, Open Graph 1200x630, and more), with an optional <1MB JPG for upload. Use when the user asks to generate an image / draw a picture / text-to-image / image-to-image / edit this photo / create artwork / make an illustration / design a cover / blog header / article banner / post thumbnail / product render, or wants AI artwork or platform cover sizes. Do NOT use for screenshot capture, cropping/resizing existing files, posting automation, or OCR — those need local tools, not this skill.", "desc_zh": "通过本地生成网关按文本或参考图生成图片，支持公众号、小红书、B 站等平台封面尺寸与小于 1MB 的上传用 JPG。", "license": "Apache-2.0", "compatibility": "Requires curl and network access to the generation gateway endpoint.", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/video/image-generation/SKILL.md", "packs": [ "ai-media-toolkit", "content-publishing", "image-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/image-generation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/image-generation/SKILL.md" }, { "name": "image-prompt-engineer", "domain": "design", "path": "skills/design/image-prompt-engineer", "file": "skills/design/image-prompt-engineer/SKILL.md", "desc": "Engineer text-to-image prompts from a design spec: five-segment structure (canvas + subject + composition + style anchor + text spec), prompt-priority ordering (position = weight), lighting and camera physics vocabulary, text-rendering rules (quote exact strings, match length), negative terms as nouns, and per-model dialects including the text-rendering rule of thumb. Write or audit modes. Use when the user asks to write an image prompt / text-to -image prompt / make image more professional / prompt audit. Do NOT use for video prompts (shot-designer), nor for choosing canvas sizes (design-brief-interpreter already fixed them).", "desc_zh": "依据设计规格撰写文生图提示词：五段式结构、优先级排序、光影与镜头词汇、文字渲染规则与各模型方言，支持编写和审查模式。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "2.0", "tier": "standard", "pattern": "dual-mode", "verified": "2026-09-22", "repo_file": "skills/design/image-prompt-engineer/SKILL.md", "packs": [ "image-studio", "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/image-prompt-engineer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/image-prompt-engineer/SKILL.md" }, { "name": "incident-commander", "domain": "programming", "path": "skills/programming/incident/incident-commander", "file": "skills/programming/incident/incident-commander/SKILL.md", "desc": "Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when handling an outage or production incident, declaring an incident, coordinating multi-team response during an outage, leading a post-mortem, running incident command or emergency response, or setting up on-call practices for a new service. Do NOT use for performing the remediation actions it assigns.", "desc_zh": "覆盖从检测、处置到复盘的事故响应框架：严重级别划分、时间线还原、结构化事后分析，指导值班与应急协调。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/incident/incident-commander/SKILL.md", "packs": [ "incident-response" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/incident/incident-commander/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/incident/incident-commander/SKILL.md" }, { "name": "incremental-implementation", "domain": "programming", "path": "skills/programming/engineering/incremental-implementation", "file": "skills/programming/engineering/incremental-implementation/SKILL.md", "desc": "Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when picking up the next task from a plan. Use when rolling a change out behind a feature flag, when you're about to write a large amount of code at once, or when a task feels too big to land in one step.", "desc_zh": "以薄而可验证的小步增量交付改动，适用于跨多文件的实现、从计划中接取下一个任务，或在功能开关后逐步上线。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/incremental-implementation/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/incremental-implementation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/incremental-implementation/SKILL.md" }, { "name": "internal-comms-writer", "domain": "office", "path": "skills/office/internal-comms-writer", "file": "skills/office/internal-comms-writer/SKILL.md", "desc": "Draft company internal communications in four standard genres — recurring team updates, all-hands announcements, FAQ answers, and cross-team request emails — after pinning down audience, event, expected action and deadline. Use when the user asks to write a team update / internal notice / company announcement / reply to employee FAQ / send a cross-team coordination email / team update / company announcement / internal comms / company newsletter / FAQ answer / cross-team request. Do NOT use for external customer-facing copy, marketing material, or legal/PR statements that require sign-off from comms or legal teams.", "desc_zh": "起草公司内部沟通：团队例行更新、全员通知、员工 FAQ 答复与跨团队协作邮件，先明确受众、事件、行动与截止时间。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime deps.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/office/internal-comms-writer/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/internal-comms-writer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/internal-comms-writer/SKILL.md" }, { "name": "interview-prep", "domain": "hr", "path": "skills/hr/interview-prep", "file": "skills/hr/interview-prep/SKILL.md", "desc": "Create structured interview plans with competency-based questions and scorecards. Trigger with \"interview plan for\", \"interview questions for\", \"how should we interview\", \"scorecard for\", or when the user is preparing to interview candidates.", "desc_zh": "制定结构化面试方案，包含基于胜任力的面试问题与评分卡，适用于准备面试候选人、设计面试流程与评分标准。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/hr/interview-prep/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/hr/interview-prep/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/hr/interview-prep/SKILL.md" }, { "name": "invoice-organizer", "domain": "tools", "path": "skills/tools/invoice-organizer", "file": "skills/tools/invoice-organizer/SKILL.md", "desc": "Sort a pile of loose invoice/receipt/expense files into a month/category tree and emit a CSV ledger, so reimbursement filing stops being a mess. Use when the user asks to organize receipts / sort invoices / archive reimbursement by month / expense ledger / invoice categorization / receipt filing. Do NOT use for OCR / reading amounts off images (this works on filenames + an optional ledger, not pixels) or for actually submitting a reimbursement (human step).", "desc_zh": "把零散的发票、收据和报销文件按月份与类别归档成目录树并生成 CSV 台账，适用于报销整理与票据分类。", "license": "Apache-2.0", "compatibility": "Pure local filesystem + CSV; no network; default dry-run; move operations are manually reversible.", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/tools/invoice-organizer/SKILL.md", "packs": [ "toolsmith" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/tools/invoice-organizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/tools/invoice-organizer/SKILL.md" }, { "name": "issue-tracker-sync", "domain": "integrations", "path": "skills/integrations/issue-tracker-sync", "file": "skills/integrations/issue-tracker-sync/SKILL.md", "desc": "Compose issue-create requests for Jira, Linear, and GitHub Issues from one input, map priorities and statuses across the three models, and render a grouped weekly report. Use when the user asks to create an issue / file a bug ticket / sync tasks to Jira / generate a weekly report / cross-platform issue sync / task status summary / create Jira ticket / create Linear issue / open GitHub issue / weekly engineering report. Do NOT use for chat notifications (use feishu-dingtalk-bridge), Notion databases (use notion-workspace), or code review comments on pull requests.", "desc_zh": "用同一输入为 Jira、Linear 和 GitHub Issues 创建工单，映射三者的优先级与状态，并生成分组每周工程报告。", "license": "Apache-2.0", "compatibility": "Python 3.8+ stdlib only for the helper script. Live execution needs outbound HTTPS to your Jira site, api.linear.app or api.github.com, plus JIRA_TOKEN / LINEAR_API_KEY / GITHUB_TOKEN in environment variables.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/integrations/issue-tracker-sync/SKILL.md", "packs": [ "workspace-integrations" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/issue-tracker-sync/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/issue-tracker-sync/SKILL.md" }, { "name": "java", "domain": "programming", "path": "skills/programming/standards/java", "file": "skills/programming/standards/java/SKILL.md", "desc": "Expert in Java development with Spring Boot and enterprise patterns", "desc_zh": "Java 企业开发规范：Spring Boot 与分层模式。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/java/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/java/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/java/SKILL.md" }, { "name": "jianshu-publisher", "domain": "writing", "path": "skills/writing/blog/jianshu-publisher", "file": "skills/writing/blog/jianshu-publisher/SKILL.md", "desc": "Helps adapt and write platform-native Markdown essays and articles for Jianshu (Jianshu), the Chinese literary / personal-essay community. Produces Jianshu-style posts with a literary voice, short poetic title, collections, and tags. Use when the user asks for Jianshu content, Jianshu essay, jianshu essay, jianshu adaptation, platform-specific content for jianshu, or publish to Jianshu. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为简书社区撰写或改写成平台原生的 Markdown 文章，产出简书风格随笔，配文艺语感、诗意短标题、专题与标签。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/blog/jianshu-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/blog/jianshu-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/blog/jianshu-publisher/SKILL.md" }, { "name": "job-stories", "domain": "product", "path": "skills/product/job-stories", "file": "skills/product/job-stories/SKILL.md", "desc": "Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format with detailed acceptance criteria. Use when writing job stories, creating JTBD-style backlog items, or expressing user situations and motivations.", "desc_zh": "按当某情境、我想要某动机、以便某结果的格式编写任务故事（job story），并附详细验收标准，用于构建 JTBD 风格需求待办项。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/job-stories/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/job-stories/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/job-stories/SKILL.md" }, { "name": "journal-adapt", "domain": "paper", "path": "skills/paper/journal-adapt", "file": "skills/paper/journal-adapt/SKILL.md", "desc": "Adapt a draft to a target venue's submission rules: IEEE / ACM / NeurIPS / ACL / Nature — column-aware page estimate with reference-page accounting, abstract word limit, venue-required sections (incl. NeurIPS/ACL Limitations), banned-phrase screening (e.g. Nature dislikes 'In this paper we' / 'Novel'), citation-style and double-blind checks. Use when the user asks to submit to IEEE / change to Nature style / journal format adaptation / switch conference template / adapt to ACL format / revise a draft for a venue / check banned phrases. Fails with rc=1 when the input file does not exist. Do NOT use for LaTeX template mechanics (use latex-formatter).", "desc_zh": "按目标期刊会议要求改编论文稿：页数估算、摘要字数、必需章节、禁用措辞筛查、引用格式与双盲检查，覆盖 IEEE、ACM、NeurIPS、ACL、Nature。", "license": "Apache-2.0", "compatibility": "Stdlib only; requires python3; static text checks against per-venue rule tables. Page counts are estimates — always confirm with the official venue template.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/journal-adapt/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/journal-adapt/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/journal-adapt/SKILL.md" }, { "name": "juejin-publisher", "domain": "writing", "path": "skills/writing/juejin/juejin-publisher", "file": "skills/writing/juejin/juejin-publisher/SKILL.md", "desc": "Helps adapt and write platform-native Markdown articles for Juejin (Juejin), the Chinese front-end / full-stack developer community. Produces Juejin-format posts with strong code blocks, tags, categories, and a tech-blog voice. Use when the user asks for Juejin content, juejin article, Juejinarticle, juejin adaptation, platform-specific content for juejin, or publish to Juejin. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为掘金开发者社区撰写或改写成平台原生的 Markdown 文章，产出掘金格式技术博客，含代码块、标签与技术类目。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/juejin/juejin-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/juejin/juejin-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/juejin/juejin-publisher/SKILL.md" }, { "name": "kb-article", "domain": "customer", "path": "skills/customer/kb-article", "file": "skills/customer/kb-article/SKILL.md", "desc": "Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.", "desc_zh": "根据已解决的问题或常见疑问起草知识库文章，用于客户自助服务、发布变通方案或告知已知问题。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/customer/kb-article/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/customer/kb-article/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/customer/kb-article/SKILL.md" }, { "name": "knowledge-graph-builder", "domain": "knowledge", "path": "skills/knowledge/knowledge-graph-builder", "file": "skills/knowledge/knowledge-graph-builder/SKILL.md", "desc": "Turn a folder of markdown notes into an explicit knowledge graph: extract entities and relations into nodes plus edges, export as JSON, Graphviz DOT, or Mermaid, and compute structural metrics such as degree centrality, connected components, and isolated nodes. Use when the user asks to build a knowledge graph / turn notes into a graph / extract entity relations / export a graphviz or mermaid diagram / find isolated nodes in notes / analyze note-link structure / build a knowledge graph / extract entities and relations / map my notes / find isolated notes / knowledge base / documentation / wiki / information architecture / research. Do NOT use for indexing or searching a note vault (use personal-wiki), for extracting durable facts into agent memory (use memory-extractor), or for drawing architecture diagrams (use arch-diagram).", "desc_zh": "把 Markdown 笔记文件夹构建为知识图谱：抽取实体与关系为节点和边，导出 JSON、Graphviz DOT 或 Mermaid，并计算中心度等结构指标。", "license": "Apache-2.0", "compatibility": "Requires Python 3.8+; the script is stdlib-only. Rendering DOT needs a local graphviz (optional, for validation).", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/knowledge/knowledge-graph-builder/SKILL.md", "packs": [ "knowledge-base" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/knowledge/knowledge-graph-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/knowledge/knowledge-graph-builder/SKILL.md" }, { "name": "kotlin-development", "domain": "programming", "path": "skills/programming/standards/kotlin-development", "file": "skills/programming/standards/kotlin-development/SKILL.md", "desc": "Kotlin development guidelines with best practices for clean code, naming conventions, function design, and data handling", "desc_zh": "Kotlin 规范：命名、函数设计、空安全与数据处理。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/kotlin-development/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/kotlin-development/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/kotlin-development/SKILL.md" }, { "name": "kubernetes-operator", "domain": "programming", "path": "skills/programming/infrastructure/kubernetes-operator", "file": "skills/programming/infrastructure/kubernetes-operator/SKILL.md", "desc": "Use when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on \"build an operator\", \"CRD design\", \"reconcile loop\", \"controller-runtime\", \"kubebuilder\", \"operator-sdk\", \"metacontroller\", \"KOPF\", \"operator capability levels\", \"custom resource\", writing a K8s operator, or building a custom controller. Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern. Do NOT use for operating a live cluster (manifest and operator authoring only).", "desc_zh": "构建 Kubernetes Operator：用 controller-runtime、kubebuilder 等编写协调 CRD 状态的自定义控制器，含 CRD 设计、调谐循环与能力审计。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/infrastructure/kubernetes-operator/SKILL.md", "packs": [ "containers", "infrastructure" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/infrastructure/kubernetes-operator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/infrastructure/kubernetes-operator/SKILL.md" }, { "name": "landing", "domain": "marketing", "path": "skills/marketing/cmo/landing", "file": "skills/marketing/cmo/landing/SKILL.md", "desc": "Generates a premium single-page HTML landing page with 3D CSS animations, GSAP scroll effects, and mouse-parallax depth. Forcing intake (product + elevator pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written, so the page reflects the actual product rather than generic boilerplate. Use whenever the user says 'landing for X', 'create a landing page', 'build a landing page', 'make a landing page for X', 'I need a web page for Y', or provides product/service details and wants a polished website. Also triggers on 'promotional page', 'product page', 'one-pager', 'web presence', 'sales page'. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai). Supports configurable brand colors via CSS custom property overrides.", "desc_zh": "生成高端单页 HTML 落地页，含 3D CSS 动画、GSAP 滚动效果与鼠标视差，先锁定产品定位再写文案，用于制作产品落地页、推广页与 one-pager。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/cmo/landing/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/cmo/landing/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/cmo/landing/SKILL.md" }, { "name": "lark-approval", "domain": "integrations", "path": "skills/integrations/lark/lark-approval", "file": "skills/integrations/lark/lark-approval/SKILL.md", "desc": "飞书审批：查询和处理审批待办/已办/实例，搜索可发起审批定义、查看定义详情并发起原生审批实例。当用户要处理审批任务、查看审批实例、搜索或发起审批时使用。审批待办不是飞书任务；非审批类待办走 lark-task。不负责创建审批定义；三方审批定义不走原生提单。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.2.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-approval/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-approval/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-approval/SKILL.md" }, { "name": "lark-apps", "domain": "integrations", "path": "skills/integrations/lark/lark-apps", "file": "skills/integrations/lark/lark-apps/SKILL.md", "desc": "妙搭（Spark/Miaoda）应用开发与托管：应用创建、本地全栈开发、云端生成迭代、创意设计（UI mockup / 可交互原型 / 线框图 / 落地页 / 仪表盘 / 幻灯片 deck / 视觉探索）、AI相关能力和飞书平台能力或者其他外部能力集成、日志/Trace/监控指标/PV/UV 查询、环境变量管理、应用协作者与协作权限设置、应用角色与成员管理、自动化触发器（定时/记录变更/Webhook/飞书审批）。当用户要开发/新建一个系统·工具·平台·应用，或要本地开发 / 云端开发 / 修改 / 部署 / 发布 / 上线 / 拿可分享链接，或用 HTML 做页面·网站·部署到妙搭，或要设计 / design / mockup / prototype / wireframe / 做 PPT / deck / 视觉探索，或提到妙搭/Spark/Miaoda（应用运行时域名形如 *.aiforce.cloud）、应用数据库、应用文件存储、开放 API Key、可见范围、应用协作者/开发权限、应用角色/角色成员、线上日志、接口请求量、错误量、延迟、访问量、环境变量、给妙搭应用配自动化任务/定时触发/审批通过后自动触发时使用。不负责普通云盘文件上传（lark-drive）、飞书文档编辑（lark-doc）、原生幻灯片创建（lark-slides）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-apps/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-apps/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-apps/SKILL.md" }, { "name": "lark-attendance", "domain": "integrations", "path": "skills/integrations/lark/lark-attendance", "file": "skills/integrations/lark/lark-attendance/SKILL.md", "desc": "飞书考勤打卡：查询自己的考勤打卡记录（原生 API user_tasks.query，需 scope attendance:task:readonly）。当用户需要查看本人打卡记录、核对上下班打卡时间、排查漏打卡时使用；不负责请假/加班审批（走 lark-approval 技能）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-attendance/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-attendance/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-attendance/SKILL.md" }, { "name": "lark-base", "domain": "integrations", "path": "skills/integrations/lark/lark-base", "file": "skills/integrations/lark/lark-base/SKILL.md", "desc": "飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限、模板中心（多维表格模板分类/列表/搜索）；遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入/导出转 lark-drive，认证/授权转 lark-shared。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.2.23", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-base/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-base/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-base/SKILL.md" }, { "name": "lark-calendar", "domain": "integrations", "path": "skills/integrations/lark/lark-calendar", "file": "skills/integrations/lark/lark-calendar/SKILL.md", "desc": "飞书日历：管理日历日程和会议室。查看/搜索日程、创建/更新日程、管理参会人、查询忙闲和推荐时段、预定会议室。当用户需要查看日程安排、创建/修改会议、查询/预定会议室时使用。不负责：查询过去的视频会议记录（走 lark-meeting）、待办任务（走 lark-task）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-calendar/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-calendar/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-calendar/SKILL.md" }, { "name": "lark-contact", "domain": "integrations", "path": "skills/integrations/lark/lark-contact", "file": "skills/integrations/lark/lark-contact/SKILL.md", "desc": "飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名,以及按关键词搜索当前用户可见的机器人 / 智能体(agent)。当用户提到一个名字要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-contact/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-contact/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-contact/SKILL.md" }, { "name": "lark-doc", "domain": "integrations", "path": "skills/integrations/lark/lark-doc", "file": "skills/integrations/lark/lark-doc/SKILL.md", "desc": "飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-doc/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-doc/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-doc/SKILL.md" }, { "name": "lark-drive", "domain": "integrations", "path": "skills/integrations/lark/lark-drive", "file": "skills/integrations/lark/lark-drive/SKILL.md", "desc": "飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签（secure labels）和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-drive/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-drive/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-drive/SKILL.md" }, { "name": "lark-event", "domain": "integrations", "path": "skills/integrations/lark/lark-event", "file": "skills/integrations/lark/lark-event/SKILL.md", "desc": "Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via the `lark-cli event consume` command with an EventKey argument (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.", "desc_zh": "用 lark-cli 实时监听与消费飞书事件流，以 NDJSON 输出，覆盖消息、审批、任务、会议等，适合机器人与长驻订阅。", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-event/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-event/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-event/SKILL.md" }, { "name": "lark-im", "domain": "integrations", "path": "skills/integrations/lark/lark-im", "file": "skills/integrations/lark/lark-im/SKILL.md", "desc": "飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-im/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-im/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-im/SKILL.md" }, { "name": "lark-mail", "domain": "integrations", "path": "skills/integrations/lark/lark-mail", "file": "skills/integrations/lark/lark-mail/SKILL.md", "desc": "飞书邮箱：Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等；use for mail/email intent only. Do not use for docs/sheets/calendar/auth setup/pure contact lookup/IM chat tasks.", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-mail/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-mail/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-mail/SKILL.md" }, { "name": "lark-markdown", "domain": "integrations", "path": "skills/integrations/lark/lark-markdown", "file": "skills/integrations/lark/lark-markdown/SKILL.md", "desc": "飞书 Markdown：查看、创建、上传、编辑和比较飞书中的原生 Markdown 文件。当用户要操作飞书 Markdown 文件，或比较其远端版本及本地草稿时使用。纯本地 Markdown 文件操作不触发本 skill。不负责将 Markdown 导入为飞书在线文档，也不负责文件搜索、权限、评论、移动、删除等云空间管理操作。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.2.2", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-markdown/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-markdown/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-markdown/SKILL.md" }, { "name": "lark-meeting", "domain": "integrations", "path": "skills/integrations/lark/lark-meeting", "file": "skills/integrations/lark/lark-meeting/SKILL.md", "desc": "飞书视频会议：查询会议记录与会议产物(纪要/逐字稿/妙记)、妙记搜索/上传/下载/编辑、机器人参与会议；查询进行中的会议、实时会议内容(发言/聊天/共享文档)问答(会上/会里)、发送会中聊天/表情；基于 meeting_id、meeting_no、event_id、note_id、minute_token、vc-node-id 或妙记 URL 查询相关信息。预约会议、忙闲和会议室管理走 lark-calendar。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-meeting/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-meeting/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-meeting/SKILL.md" }, { "name": "lark-minutes", "domain": "integrations", "path": "skills/integrations/lark/lark-minutes", "file": "skills/integrations/lark/lark-minutes/SKILL.md", "desc": "仅当用户或上游配置显式指定 lark-minutes 时使用，相关请求统一交由 lark-meeting 技能处理。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-minutes/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-minutes/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-minutes/SKILL.md" }, { "name": "lark-note", "domain": "integrations", "path": "skills/integrations/lark/lark-note", "file": "skills/integrations/lark/lark-note/SKILL.md", "desc": "仅当用户或上游配置显式指定 lark-note 时使用，相关请求统一交由 lark-meeting 技能处理。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-note/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-note/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-note/SKILL.md" }, { "name": "lark-okr", "domain": "integrations", "path": "skills/integrations/lark/lark-okr", "file": "skills/integrations/lark/lark-okr/SKILL.md", "desc": "飞书 OKR：管理目标与关键结果。查看和编辑 OKR 周期、目标、关键结果、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。不负责：待办任务管理（lark-task）、日程/会议安排（lark-calendar）、绩效评估", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-okr/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-okr/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-okr/SKILL.md" }, { "name": "lark-openapi-explorer", "domain": "integrations", "path": "skills/integrations/lark/lark-openapi-explorer", "file": "skills/integrations/lark/lark-openapi-explorer/SKILL.md", "desc": "飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-openapi-explorer/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-openapi-explorer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-openapi-explorer/SKILL.md" }, { "name": "lark-shared", "domain": "integrations", "path": "skills/integrations/lark/lark-shared", "file": "skills/integrations/lark/lark-shared/SKILL.md", "desc": "Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling _notice JSON.", "desc_zh": "lark-cli 的登录与授权设置：auth login/status/logout、用户与机器人身份、业务域权限与 scope、撤销授权、处理 _notice 提示。", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-shared/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-shared/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-shared/SKILL.md" }, { "name": "lark-sheets", "domain": "integrations", "path": "skills/integrations/lark/lark-sheets", "file": "skills/integrations/lark/lark-sheets/SKILL.md", "desc": "飞书电子表格：创建和操作电子表格。支持工作表与行列结构（增删/合并/尺寸/隐藏/冻结/分组）、单元格读写（值/公式/样式/批注/单元格图片）、区域复制移动排序填充、查找替换、批量更新，图表、透视表、条件格式、筛选器与筛选视图、下拉列表、迷你图、浮动图片等对象的创建与维护，以及公式校验、历史版本回滚、本地 Excel/CSV 与飞书表格的导入导出。当用户需要创建或编辑表格、统计汇总与可视化、表格美化、公式计算（含 Excel 公式迁移）、金融/财务建模（DCF、三张表、预算、Sensitivity 等）时使用。多维表格（Base/bitable）请改用 lark-base；若用户是想按名称或关键词搜索云空间（云盘/云存储）里的表格文件，请改用 lark-drive 的 drive +search 先定位资源。当用户给出 doubao.com 的 /sheets/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "3.5.2", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-sheets/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-sheets/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-sheets/SKILL.md" }, { "name": "lark-skill-maker", "domain": "integrations", "path": "skills/integrations/lark/lark-skill-maker", "file": "skills/integrations/lark/lark-skill-maker/SKILL.md", "desc": "创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-skill-maker/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-skill-maker/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-skill-maker/SKILL.md" }, { "name": "lark-slides", "domain": "integrations", "path": "skills/integrations/lark/lark-slides", "file": "skills/integrations/lark/lark-slides/SKILL.md", "desc": "飞书幻灯片：创建和编辑幻灯片。创建演示文稿、读取幻灯片内容、管理幻灯片页面（创建、删除、读取、局部替换）。当用户需要创建或编辑幻灯片、读取或修改单个页面时使用。当用户给出 doubao.com 的 /slides/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。不负责：云文档内容编辑（走 lark-doc）、云文档里的独立画板对象（走 lark-whiteboard）、上传或下载普通文件（走 lark-drive）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-slides/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-slides/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-slides/SKILL.md" }, { "name": "lark-task", "domain": "integrations", "path": "skills/integrations/lark/lark-task", "file": "skills/integrations/lark/lark-task/SKILL.md", "desc": "飞书任务：管理任务、清单和任务智能体。创建待办任务、查看和更新任务状态、拆分子任务、组织任务清单、分配协作成员、上传任务附件、注册或注销任务智能体、更新任务智能体的主页数据、写入智能体任务记录。当用户需要创建待办事项、查看任务列表、跟踪任务进度、管理项目清单或给他人分配任务、为任务上传附件文件、注册注销任务智能体、更新智能体主页数据、写入任务记录时使用。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-task/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-task/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-task/SKILL.md" }, { "name": "lark-vc", "domain": "integrations", "path": "skills/integrations/lark/lark-vc", "file": "skills/integrations/lark/lark-vc/SKILL.md", "desc": "仅当用户或上游配置显式指定 lark-vc 时使用，相关请求统一交由 lark-meeting 技能处理。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-vc/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-vc/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-vc/SKILL.md" }, { "name": "lark-vc-agent", "domain": "integrations", "path": "skills/integrations/lark/lark-vc-agent", "file": "skills/integrations/lark/lark-vc-agent/SKILL.md", "desc": "仅当用户或上游配置显式指定 lark-vc-agent 时使用，相关请求统一交由 lark-meeting 技能处理。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-vc-agent/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-vc-agent/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-vc-agent/SKILL.md" }, { "name": "lark-whiteboard", "domain": "integrations", "path": "skills/integrations/lark/lark-whiteboard", "file": "skills/integrations/lark/lark-whiteboard/SKILL.md", "desc": "飞书画板：查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用多种格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板时使用此 skill。不负责：飞书云文档内容编辑（lark-doc）、文档内嵌电子表格/Base（lark-sheets / lark-base）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-whiteboard/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-whiteboard/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-whiteboard/SKILL.md" }, { "name": "lark-wiki", "domain": "integrations", "path": "skills/integrations/lark/lark-wiki", "file": "skills/integrations/lark/lark-wiki/SKILL.md", "desc": "飞书知识库：管理知识空间、空间成员和文档节点。创建和查询知识空间、查看和管理空间成员、管理节点层级结构、在知识库中组织文档和快捷方式。当用户需要在知识库中查找或创建文档、浏览知识空间结构、查看或管理空间成员、移动或复制节点时使用。当用户给出 doubao.com 的 /wiki/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。不负责：上传文件到知识库节点下（走 lark-drive）、编辑文档/表格/Base 内容（走 lark-doc / lark-sheets / lark-base）。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.3", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-wiki/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-wiki/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-wiki/SKILL.md" }, { "name": "lark-workflow-meeting-summary", "domain": "integrations", "path": "skills/integrations/lark/lark-workflow-meeting-summary", "file": "skills/integrations/lark/lark-workflow-meeting-summary/SKILL.md", "desc": "会议纪要整理工作流：汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-workflow-meeting-summary/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-workflow-meeting-summary/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-workflow-meeting-summary/SKILL.md" }, { "name": "lark-workflow-standup-report", "domain": "integrations", "path": "skills/integrations/lark/lark-workflow-standup-report", "file": "skills/integrations/lark/lark-workflow-standup-report/SKILL.md", "desc": "日程待办摘要：编排 calendar +agenda 和 task +get-my-tasks，生成指定日期的日程与未完成任务摘要。适用于了解今天/明天/本周的安排。", "desc_zh": "", "license": "MIT", "compatibility": "需安装飞书官方 CLI（lark-cli，npm 包 @larksuite/cli）；需网络访问；认证、租户与权限处理遵循同目录 lark-shared 技能。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/integrations/lark/lark-workflow-standup-report/SKILL.md", "packs": [ "feishu-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/lark/lark-workflow-standup-report/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/lark/lark-workflow-standup-report/SKILL.md" }, { "name": "latex-formatter", "domain": "paper", "path": "skills/paper/latex-formatter", "file": "skills/paper/latex-formatter/SKILL.md", "desc": "Check and normalize paper LaTeX: document class/template sniffing (IEEE etc), balanced environments, unescaped special chars, bibliography presence, and cross-file undefined \\\\cite/\\\\ref. Use when the user asks to check LaTeX / paper format check / pre-compile check / typeset a paper / fix LaTeX errors / normalize tex per template / check for unclosed environments / check paper formatting / normalize LaTeX / fix LaTeX errors. Fails with rc=1 when the input file does not exist. Do NOT use for writing paper content or generating figures (use pub-plotter / article-drafter).", "desc_zh": "检查并规范化论文 LaTeX：识别模板与文档类、环境配对、转义特殊字符、参考文献，以及跨文件未定义的 cite/ref。", "license": "Apache-2.0", "compatibility": "Stdlib-only static checks; optional chktex/latexindent/tex-fmt when installed (honest fallback to stdlib otherwise).", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/latex-formatter/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/latex-formatter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/latex-formatter/SKILL.md" }, { "name": "launch-positioning-builder", "domain": "marketing", "path": "skills/marketing/gtm/launch-positioning-builder", "file": "skills/marketing/gtm/launch-positioning-builder/SKILL.md", "desc": "Research competitors, analyze their messaging, and generate a positioning document with category definition, differentiation claims, value propositions, and proof points. Chains web research, competitor site analysis, and review mining to produce a positioning doc ready for website copy and sales deck use. Use when a product marketing team needs to define or refresh positioning ahead of a launch, rebrand, or competitive shift.", "desc_zh": "研究竞品信息并生成定位文档：品类定义、差异化主张、价值点与证据。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/launch-positioning-builder/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/launch-positioning-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/launch-positioning-builder/SKILL.md" }, { "name": "layout-spec-auditor", "domain": "design", "path": "skills/design/layout-spec-auditor", "file": "skills/design/layout-spec-auditor/SKILL.md", "desc": "Audit a generated image (or its plan) against a design spec and platform layout rules: aspect ratio match, minimum resolution, safe-area margins for text, platform file-size limits, and text-budget compliance. Reads the actual image file with Pillow when available, or audits declared dimensions. Use when the user asks to check image specs / verify dimensions / audit an image / layout audit / cover spec / image compliance, or automatically after generating an image in the visual-design-studio chain. Do NOT use for judging aesthetics (that is design critique), nor for writing prompts.", "desc_zh": "按设计规范与平台版式规则审查图片：宽高比、最小分辨率、文字安全边距、文件大小限制与字数预算。", "license": "Apache-2.0", "compatibility": "Python 3.8+; Pillow optional (needed only when auditing an actual image file).", "version": "1.1", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/design/layout-spec-auditor/SKILL.md", "packs": [ "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/layout-spec-auditor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/layout-spec-auditor/SKILL.md" }, { "name": "legal-risk-assessment", "domain": "legal", "path": "skills/legal/legal-risk-assessment", "file": "skills/legal/legal-risk-assessment/SKILL.md", "desc": "Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.", "desc_zh": "用严重度乘可能性框架评估和分级法律风险，含升级标准，判断合同风险、交易敞口及是否需高级或外部律师复核。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/legal/legal-risk-assessment/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/legal/legal-risk-assessment/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/legal/legal-risk-assessment/SKILL.md" }, { "name": "linkedin-analytics", "domain": "marketing", "path": "skills/marketing/cmo/linkedin-analytics", "file": "skills/marketing/cmo/linkedin-analytics/SKILL.md", "desc": "Use when someone wants to understand their own LinkedIn numbers — which posts worked, why reach dropped, whether a pattern is real, or how to test a hypothesis. Triggers on \"why did my reach drop\", \"what's working on my LinkedIn\", \"analyze my posts\", \"do carousels do better for me\", \"should I test this\", \"LinkedIn analytics\". Reads your own exported post data, reports medians and outlier bands, tests candidate patterns against a permutation null, and sizes a real experiment — refusing to conclude anything below 10 posts.", "desc_zh": "分析自己的 LinkedIn 数据：哪些帖子有效、触达为何下降、模式是否真实，输出中位数与离群带并设计实验。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/cmo/linkedin-analytics/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/cmo/linkedin-analytics/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/cmo/linkedin-analytics/SKILL.md" }, { "name": "linkedin-content", "domain": "marketing", "path": "skills/marketing/cmo/linkedin-content", "file": "skills/marketing/cmo/linkedin-content/SKILL.md", "desc": "Use when someone wants to write, edit, or lint a LinkedIn post — a story, how-to, opinion piece, carousel script, video script, or poll — or wants an article, talk, or transcript repurposed into posts. Triggers on \"write a LinkedIn post\", \"is this hook any good\", \"review my post\", \"turn this into LinkedIn posts\", \"carousel\", \"what format should this be\". Lints posts 0-100 on mechanics, hook, integrity, and accessibility; picks the format the material actually supports; and splits long sources into standalone units with a reuse ledger.", "desc_zh": "撰写、编辑、评分 LinkedIn 帖子与轮播、视频脚本，含机制、钩子、诚信度与无障碍四维打分，并把长文拆成独立内容。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/cmo/linkedin-content/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/cmo/linkedin-content/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/cmo/linkedin-content/SKILL.md" }, { "name": "linkedin-engagement", "domain": "marketing", "path": "skills/marketing/cmo/linkedin-engagement", "file": "skills/marketing/cmo/linkedin-engagement/SKILL.md", "desc": "Use when someone wants to grow reach through comments, replies, groups, or outreach on LinkedIn — a commenting roster, a connection request note, a DM or InMail, a networking plan, or a check on whether their outreach volume is safe. Triggers on \"who should I engage with\", \"write a connection request\", \"cold DM\", \"LinkedIn outreach\", \"networking strategy\", \"how many invites can I send\". Builds a weekly comment roster inside a real time budget, assembles one message at a time and refuses templates, and caps volume against LinkedIn's limits. Nothing is ever sent.", "desc_zh": "通过评论、回复、社群与外联提升 LinkedIn 触达：制定每周评论名单、撰写连接请求与私信、控制安全外联量。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/cmo/linkedin-engagement/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/cmo/linkedin-engagement/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/cmo/linkedin-engagement/SKILL.md" }, { "name": "linkedin-profile", "domain": "marketing", "path": "skills/marketing/cmo/linkedin-profile", "file": "skills/marketing/cmo/linkedin-profile/SKILL.md", "desc": "Use when someone wants their LinkedIn profile audited or rewritten — headline, About section, experience bullets, Featured, banner, recommendations — or says \"fix my headline\", \"my profile gets views but nothing happens\", \"optimize my LinkedIn profile\", \"what should my About section say\". Scores the headline on five dimensions, audits the whole profile 0-100 and ranks fixes by points per hour, and assembles an About section that survives the \"…see more\" fold.", "desc_zh": "审查并重写 LinkedIn 个人主页：标题、About、经历要点、Featured、横幅与推荐，按每小时收益排序改进项。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/cmo/linkedin-profile/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/cmo/linkedin-profile/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/cmo/linkedin-profile/SKILL.md" }, { "name": "linkedin-strategy", "domain": "marketing", "path": "skills/marketing/cmo/linkedin-strategy", "file": "skills/marketing/cmo/linkedin-strategy/SKILL.md", "desc": "Use when someone needs a LinkedIn plan rather than a post — content pillars, positioning for a career change or consulting or thought leadership, a sustainable posting cadence, or a newsletter decision. Triggers on \"what should I post about\", \"how often should I post\", \"LinkedIn content strategy\", \"should I start a LinkedIn newsletter\", \"grow my following\", \"90-day plan\". Validates the positioning brief, sizes the week against real hours and refuses a plan that will not survive week five, and gates a newsletter against eligibility and a six-month cadence commitment.", "desc_zh": "制定 LinkedIn 内容策略：内容支柱、职业转型或咨询定位、可持续发布节奏与是否开 Newsletter，给出 90 天计划。", "license": "MIT", "compatibility": "纯提示型（部分带本地脚本）；输出为策略/文档，不直接调用外部系统。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/cmo/linkedin-strategy/SKILL.md", "packs": [ "cmo-suite" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/cmo/linkedin-strategy/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/cmo/linkedin-strategy/SKILL.md" }, { "name": "lit-review", "domain": "paper", "path": "skills/paper/lit-review", "file": "skills/paper/lit-review/SKILL.md", "desc": "Multi-source literature review: real retrieval via Semantic Scholar Graph API (--s2, with true citations/venue/year/abstract) or arXiv (--arxiv), honest mock fallback for offline/CI; builds a REAL co-citation graph (shared references) instead of sequential links; synthesizes trends/gaps via LLM (model_route) with keyword-cooccurrence fallback. Use for literature review / related work / finding references / researching papers in a direction / surveying a topic / citation graph. Do NOT use for topic selection (use paper-topic-selector first).", "desc_zh": "多源文献综述与相关工作：经 Semantic Scholar 或 arXiv 真实检索，构建共被引图谱，用 LLM 综合研究趋势与空白。", "license": "Apache-2.0", "compatibility": "Stdlib. --s2 hits api.semanticscholar.org, --arxiv hits export.arxiv.org (20s timeout, 429 backoff 3s). Any network/parse failure -> honest mock fallback (data_source=mock + warning). SKILLKIT_MOCK=1 forces mock. LLM synthesis via skills/meta/_shared/model_route when SKILLKIT_MODEL_URL set; else keyword-cooccurrence (offline).", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/lit-review/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/lit-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/lit-review/SKILL.md" }, { "name": "literature-review", "domain": "programming", "path": "skills/programming/science/literature-review", "file": "skills/programming/science/literature-review/SKILL.md", "desc": "Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).", "desc_zh": "用 PubMed、arXiv、bioRxiv、Semantic Scholar 等数据库做系统性文献综述与元分析，生成带已验证引用的 Markdown 文档与 PDF。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/literature-review/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/literature-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/literature-review/SKILL.md" }, { "name": "market-entry", "domain": "leadership", "path": "skills/leadership/market-entry", "file": "skills/leadership/market-entry/SKILL.md", "desc": "Decides whether and how to enter a new market — sizing demand from the bottom up rather than from a market report, testing whether your advantage transfers, choosing between organic entry, partnership and acquisition, sequencing the operational and regulatory work that entry actually requires, and setting the criteria that would tell you to stop. Use this to evaluate a new geography, segment or vertical, pressure-test an entry plan, or work out why a launched market never reached scale.", "desc_zh": "判断是否与如何进入新市场：自下而上估算需求，验证优势可迁移性并定进入方式。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/market-entry/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/market-entry/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/market-entry/SKILL.md" }, { "name": "market-sizing", "domain": "product", "path": "skills/product/market-sizing", "file": "skills/product/market-sizing/SKILL.md", "desc": "Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches. Use when sizing a market opportunity, estimating addressable market, preparing for investor pitches, or evaluating market entry.", "desc_zh": "用 TAM、SAM、SOM 自顶向下与自底向上估算市场规模，用于评估市场机会、可及市场、投资人路演与市场进入。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/market-sizing/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/market-sizing/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/market-sizing/SKILL.md" }, { "name": "matplotlib", "domain": "programming", "path": "skills/programming/science/matplotlib", "file": "skills/programming/science/matplotlib/SKILL.md", "desc": "Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.", "desc_zh": "底层 Python 绘图库，可精细控制每个元素、创建新颖图型，导出 PNG/PDF/SVG 出版级图片；快速统计图用 seaborn，交互图用 plotly。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/matplotlib/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/matplotlib/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/matplotlib/SKILL.md" }, { "name": "mcp-server-builder", "domain": "programming", "path": "skills/programming/ai-engineering/mcp-server-builder", "file": "skills/programming/ai-engineering/mcp-server-builder/SKILL.md", "desc": "Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, scaffolding an MCP project from scratch, building an MCP server, turning an API into MCP, generating MCP from OpenAPI, or exposing an API to an LLM. Do NOT use for implementing the business logic of an existing MCP server.", "desc_zh": "基于 OpenAPI 契约设计与交付生产级 MCP 服务器，支持 Python/TypeScript、模式校验与安全演进，把现有 API 暴露给 LLM。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash. Requires Python 3.8+ (stdlib only) to run bundled scripts.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-09-09", "repo_file": "skills/programming/ai-engineering/mcp-server-builder/SKILL.md", "packs": [ "ai-agent-development" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ai-engineering/mcp-server-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ai-engineering/mcp-server-builder/SKILL.md" }, { "name": "medical-visit-guide", "domain": "life", "path": "skills/life/medical-visit-guide", "file": "skills/life/medical-visit-guide/SKILL.md", "desc": "Use when the user is preparing for a doctor visit, wants to describe symptoms effectively, needs a question list for the consultation, or is confused about the Chinese outpatient workflow. Triggers: doctor visit, medical appointment, symptom description, outpatient preparation, hospital visit prep, specialist referral, follow-up visit. Do NOT use for diagnosis, treatment recommendations, prescription advice, dosage questions, or emergency medical advice (call 120).", "desc_zh": "就医准备指南：有效描述症状、整理问诊问题清单、了解中国门诊流程，覆盖挂号、专科转诊与复诊；不做诊断或用药建议。", "license": "Apache-2.0", "compatibility": "Pure prompt skill, no scripts.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-25", "repo_file": "skills/life/medical-visit-guide/SKILL.md", "packs": [ "life-essentials" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/life/medical-visit-guide/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/life/medical-visit-guide/SKILL.md" }, { "name": "meeting-notes", "domain": "office", "path": "skills/office/meeting-notes", "file": "skills/office/meeting-notes/SKILL.md", "desc": "Turn raw meeting transcripts or rough notes into structured minutes: decisions, action items with owners and deadlines, open questions, and a circulation-ready summary. Use when the user asks to organize meeting notes / transcribe meeting record / notes from this transcript / summarize this meeting / clean up recording text / meeting minutes / action items. Do NOT use for live transcription, audio-to-text conversion, or project status reports without meeting content.", "desc_zh": "把会议转录或草稿整理成结构化纪要：决议、带负责人与截止日的行动项、待解问题与可传阅摘要。", "license": "Apache-2.0", "compatibility": "No special environment; accepts pasted transcript or notes.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/office/meeting-notes/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/meeting-notes/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/meeting-notes/SKILL.md" }, { "name": "memory-architect", "domain": "memory", "path": "skills/memory/memory-architect", "file": "skills/memory/memory-architect/SKILL.md", "desc": "Use when designing a long-term memory architecture for an AI agent: layered memory (working/core/archival), storage selection, memory entry schema, read/write paths, and forgetting policy. Triggers on memory system design, memory architecture, agent long-term memory, memory design, memory schema, memory layering, storage selection, forgetting mechanism, memory pressure, knowledge retrieval, RAG. NOT for extraction/management/retrieval logic itself — use memory-extractor, memory-manager, or memory-retriever.", "desc_zh": "为 AI Agent 设计长期记忆架构：分层记忆、存储选型、记忆条目结构、读写路径与遗忘策略。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no scripts, no environment probing.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-16", "repo_file": "skills/memory/memory-architect/SKILL.md", "packs": [ "memory-systems" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/memory/memory-architect/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/memory/memory-architect/SKILL.md" }, { "name": "memory-extractor", "domain": "memory", "path": "skills/memory/memory-extractor", "file": "skills/memory/memory-extractor/SKILL.md", "desc": "Use when turning a conversation or document into structured memory candidates: decide what is worth remembering, split facts to fine granularity, deduplicate, and score confidence. Triggers on memory extraction, conversation to memory, extracting memory entries, memory extraction, extract memories, conversation to memory, candidate extraction, confidence scoring, fine-grained facts, knowledge retrieval, RAG. NOT for storing, updating, or retrieving memories — use memory-manager or memory-retriever.", "desc_zh": "把对话或文档抽取为结构化记忆候选：判断值得记住的内容、细粒度拆分事实、去重并打置信度评分。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no scripts, no environment probing.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/memory/memory-extractor/SKILL.md", "packs": [ "memory-systems" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/memory/memory-extractor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/memory/memory-extractor/SKILL.md" }, { "name": "memory-manager", "domain": "memory", "path": "skills/memory/memory-manager", "file": "skills/memory/memory-manager/SKILL.md", "desc": "Use when managing the lifecycle of an agent's memory store: resolve conflicts between new candidates and existing entries, execute ADD/UPDATE/DELETE/NOOP operations, and run forgetting policies (TTL, recency decay, topic compaction). Triggers on memory management, memory deduplication, conflict resolution, memory lifecycle, memory deduplication, ADD UPDATE DELETE NOOP, TTL expiry, memory compaction, memory consolidation, long-term memory, RAG. NOT for extracting new candidates or retrieving memories — use memory-extractor or memory-retriever.", "desc_zh": "管理 Agent 记忆库生命周期：解决新旧条目冲突，执行 ADD/UPDATE/DELETE/NOOP，并运行 TTL、时效衰减与主题压缩等遗忘策略。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no scripts, no environment probing.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-16", "repo_file": "skills/memory/memory-manager/SKILL.md", "packs": [ "memory-systems" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/memory/memory-manager/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/memory/memory-manager/SKILL.md" }, { "name": "memory-retriever", "domain": "memory", "path": "skills/memory/memory-retriever", "file": "skills/memory/memory-retriever/SKILL.md", "desc": "Use when retrieving memories from a long-term store to inject into an agent's context: rewrite queries from the current conversation, run hybrid retrieval (keyword + semantic + recency), fuse scores, and inject within a token budget. Triggers on memory retrieval, hybrid retrieval, memory injection, memory retrieval, hybrid search, context injection, token budget, query rewriting, recency weighting, knowledge retrieval, RAG, long-term memory. NOT for building the store or managing its lifecycle — use memory-architect or memory-manager.", "desc_zh": "从长期记忆库检索记忆并注入 Agent 上下文：改写查询，混合检索关键词、语义与时效，融合分数并在 token 预算内注入。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no scripts, no environment probing. Works with keyword-only stores via a documented degradation path.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/memory/memory-retriever/SKILL.md", "packs": [ "memory-systems" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/memory/memory-retriever/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/memory/memory-retriever/SKILL.md" }, { "name": "meta-ads-analyzer", "domain": "marketing", "path": "skills/marketing/gtm/meta-ads-analyzer", "file": "skills/marketing/gtm/meta-ads-analyzer/SKILL.md", "desc": "Diagnose Meta Ads campaign performance and account gaps using Meta's actual system mechanics — including customer-journey coverage, Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue. Use for performance diagnosis, account audits, full-funnel or TOF/MOF/BOF gap analysis, deciding what to test or create next, and producing novice-friendly recommendations without forcing every campaign or ad into a funnel stage.", "desc_zh": "诊断 Meta 广告投放：按拍卖机制、学习期、疲劳度等真实机制定位问题，给出可测试的改进建议。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/meta-ads-analyzer/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/meta-ads-analyzer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/meta-ads-analyzer/SKILL.md" }, { "name": "migration-architect", "domain": "programming", "path": "skills/programming/architecture/migration-architect", "file": "skills/programming/architecture/migration-architect/SKILL.md", "desc": "Zero-downtime migration planning, compatibility validation, and rollback strategy generation. Tools for system, database, and infrastructure migrations with minimal business impact. Use when planning a database migration, planning a zero-downtime migration, designing a data-migration plan, a dual-write cutover, an infrastructure cutover, a system replacement, or any high-risk transition that needs explicit rollback paths. Do NOT use for executing the data migration itself (it produces the plan and scripts).", "desc_zh": "制定零停机迁移方案：系统、数据库与基础设施迁移的兼容性校验、双写切换与回滚策略，评估业务影响；只出方案不执行。", "license": "Apache-2.0", "compatibility": "Requires network access. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "architecture", "verified": "2026-09-09", "repo_file": "skills/programming/architecture/migration-architect/SKILL.md", "packs": [ "architecture" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/architecture/migration-architect/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/architecture/migration-architect/SKILL.md" }, { "name": "ml-pipeline", "domain": "programming", "path": "skills/programming/ml/ml-pipeline", "file": "skills/programming/ml/ml-pipeline/SKILL.md", "desc": "End-to-end training, evaluation, and tuning of ML models: supports RandomForest, GradientBoosting, and LogisticRegression, outputting accuracy/F1/ROC-AUC with cross-validation. Use when feature engineering is done and you need to train, evaluate, and compare tabular models — building an ML training pipeline, training a tabular model, tuning hyperparameters, or comparing models. Do NOT use for deep-learning research (tabular sklearn/XGBoost workflows only) or for feature engineering itself (use feature-engineer).", "desc_zh": "端到端训练、评估与调优表格机器学习模型：支持 RandomForest、GradientBoosting、LogisticRegression，输出准确率、F1、ROC-AUC 与交叉验证。", "license": "Apache-2.0", "compatibility": "Requires scikit-learn, pandas, numpy. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-09", "repo_file": "skills/programming/ml/ml-pipeline/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/ml-pipeline/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/ml-pipeline/SKILL.md" }, { "name": "model-formulator", "domain": "programming", "path": "skills/programming/math/model-formulator", "file": "skills/programming/math/model-formulator/SKILL.md", "desc": "Formalize a natural-language problem into a mathematical model: identify variables, constraints, objective function, and model type (ODE/ILP/stochastic/Bayesian), and output a model spec consumable by model-solver. When to use: the problem is already described in prose but lacks mathematical structure — e.g. math modeling, turning a problem into a model, defining variables and constraints, formalizing a problem, or writing a math model. Do NOT use when a formal model already exists and only numerical solving (use model-solver) or plotting results (use result-visualizer) is needed.", "desc_zh": "把自然语言问题形式化为数学模型：确定变量、约束、目标函数与模型类型（ODE/ILP/随机/贝叶斯），输出供求解器使用的模型规格。", "license": "Apache-2.0", "compatibility": "Pure Python + LLM assistance. No external solver needed at this step.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/math/model-formulator/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/math/model-formulator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/math/model-formulator/SKILL.md" }, { "name": "model-solver", "domain": "programming", "path": "skills/programming/math/model-solver", "file": "skills/programming/math/model-solver/SKILL.md", "desc": "Numerically solve mathematical models: LP/MIP (scipy/cvxpy), ODE/PDE (scipy.integrate), Monte Carlo (numpy). Consumes the model spec produced by model-formulator and returns the solution plus convergence information. When to use: the model spec is ready and you need an optimal solution, an integral, or sampling results — e.g. solving a model, picking a solver, optimizing the problem, or computing a numerical solution. Do NOT use when the problem is still in prose and needs formalizing (use model-formulator), or when the ask is result interpretation and charts (use result-visualizer).", "desc_zh": "数值求解数学模型：LP/MIP（scipy、cvxpy）、ODE/PDE（scipy.integrate）、蒙特卡洛（numpy），返回求得的最优解与收敛信息。", "license": "Apache-2.0", "compatibility": "Requires scipy, numpy. Optional: cvxpy, pulp, ortools.", "version": "1.1", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/programming/math/model-solver/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/math/model-solver/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/math/model-solver/SKILL.md" }, { "name": "monorepo-management", "domain": "programming", "path": "skills/programming/quality/monorepo-management", "file": "skills/programming/quality/monorepo-management/SKILL.md", "desc": "Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.", "desc_zh": "用 Turborepo、Nx 与 pnpm workspaces 管理 monorepo，构建高效可扩展的多包仓库并优化构建与共享依赖。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/monorepo-management/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/monorepo-management/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/monorepo-management/SKILL.md" }, { "name": "monorepo-navigator", "domain": "programming", "path": "skills/programming/architecture/monorepo-navigator", "file": "skills/programming/architecture/monorepo-navigator/SKILL.md", "desc": "Navigate, manage, and optimize monorepos. Covers Turborepo, Nx, pnpm workspaces, and Lerna. Cross-package impact analysis, selective builds/tests on affected packages, remote caching, dependency graph visualization, and structured multi-repo to monorepo migrations. Use when setting up a new monorepo, sorting out a monorepo, navigating a large repo, understanding package dependencies, optimizing CI for a large workspace, debugging cross-package dependency issues, or planning a multi-repo consolidation. Do NOT use for building or publishing packages (navigation and impact analysis only).", "desc_zh": "浏览、管理与优化 monorepo：跨包影响分析、按受影响包选择性构建测试、远程缓存、依赖图可视化与多仓合并迁移。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/architecture/monorepo-navigator/SKILL.md", "packs": [ "architecture" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/architecture/monorepo-navigator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/architecture/monorepo-navigator/SKILL.md" }, { "name": "motion-effects-designer", "domain": "video", "path": "skills/video/motion-effects-designer", "file": "skills/video/motion-effects-designer/SKILL.md", "desc": "Design motion graphics and visual effects for AI video: kinetic typography, lower thirds, animated charts, particles, overlays, subtitle animation styles, and easing/timing specs. Produces a motion spec that video-editor executes. Use when the user asks to design motion graphics / add animated text / animate a chart / add particles / style captions / choose easing / add lower thirds / plan VFX overlays / make text bounce. Do NOT use for cutting between scenes (use transition-designer), for executing the actual edit (use video-editor), or for generating background footage (use video-generation).", "desc_zh": "为 AI 视频设计动态图形与视觉效果：动态文字、下三分之一、动画图表、粒子、叠加层、字幕动画与缓动节奏规格。", "license": "Apache-2.0", "compatibility": "Pure prompt-based design skill; no scripts required. Outputs a motion spec consumed by video-editor.", "version": "1.0", "tier": "standard", "pattern": "planning", "verified": "2026-09-24", "repo_file": "skills/video/motion-effects-designer/SKILL.md", "packs": [ "ai-video-pipeline", "video-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/motion-effects-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/motion-effects-designer/SKILL.md" }, { "name": "music-generation", "domain": "music", "path": "skills/music/music-generation", "file": "skills/music/music-generation/SKILL.md", "desc": "Generate music tracks from a text brief through a local generation gateway (style, instruments, mood, duration; polling and download included). Use when the user asks to generate music / make a track / score / background music / generate a song / make BGM / write a melody / music generation / composition / audio / MIDI / soundtrack. Do NOT use for text-to-speech, audio editing, trimming MP3s, or transcription.", "desc_zh": "通过本地生成网关按文本需求生成音乐曲目：风格、乐器、情绪、时长，含轮询与下载，可用于配乐、BGM 与旋律创作。", "license": "Apache-2.0", "compatibility": "Requires curl and network access to the generation gateway endpoint.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/music/music-generation/SKILL.md", "packs": [ "ai-media-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/music/music-generation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/music/music-generation/SKILL.md" }, { "name": "nailong-laugh-shorts", "domain": "video", "path": "skills/video/nailong-laugh-shorts", "file": "skills/video/nailong-laugh-shorts/SKILL.md", "desc": "Produce \"laughing Nailong\"-style laughing dragon meme videos: generate the chubby yellow dragon character image, animate belly-laugh actions or swap actions from human footage, add processed giggle audio, batch skin variants, and publish with probability-bait captions. Use when the user asks to make a Nailong video / laughing Nailong / belly-laughing Nailong / Nailong emoji come alive / absurd funny little-dragon meme video, or wants a meme-style talking-character short. Do NOT use for harassing specific real persons, or political/factual disinformation contexts.", "desc_zh": "制作奶龙大笑表情包短视频：生成黄色胖小龙形象、用真人素材做大笑或换脸动作、加工笑声音频、批量皮肤变体并配标题发布。", "license": "Apache-2.0", "compatibility": "Uses web AI tools (text-to-image, image-to-video, action transfer); no local install needed.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/video/nailong-laugh-shorts/SKILL.md", "packs": [ "viral-entertainment" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/nailong-laugh-shorts/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/nailong-laugh-shorts/SKILL.md" }, { "name": "networkx", "domain": "programming", "path": "skills/programming/science/networkx", "file": "skills/programming/science/networkx/SKILL.md", "desc": "Create, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.", "desc_zh": "用 Python 的 NetworkX 创建、分析与可视化复杂网络与图：最短路、中心性、聚类、社区发现、合成网络与图文件读写。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/networkx/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/networkx/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/networkx/SKILL.md" }, { "name": "neural-net-draw", "domain": "paper", "path": "skills/paper/neural-net-draw", "file": "skills/paper/neural-net-draw/SKILL.md", "desc": "Draw neural-network structure diagrams as compile-ready LaTeX TikZ from a layer spec. Learned from PlotNeuralNet (25k stars). Use when the user asks to draw a network architecture diagram / draw a CNN layer diagram / draw an MLP structure diagram / neural network schematic / neural network diagram / TikZ network diagram / network architecture figure. Do NOT use for pipeline/block diagrams (use arch-diagram).", "desc_zh": "按层结构规格把神经网络结构图画成可直接编译的 LaTeX TikZ，如 CNN 层图、MLP 结构图与网络架构示意图。", "license": "Apache-2.0", "compatibility": "Stdlib only; emits TikZ source for the PlotNeuralNet toolchain (compilation requires pgfplots + tikz in the preamble).", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/neural-net-draw/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/neural-net-draw/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/neural-net-draw/SKILL.md" }, { "name": "north-star-metric", "domain": "product", "path": "skills/product/north-star-metric", "file": "skills/product/north-star-metric/SKILL.md", "desc": "Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing a North Star Metric, setting up a metrics framework, learning about the North Star Framework, or deciding what to measure.", "desc_zh": "定义北极星指标与 3-5 个支撑输入指标构成指标星座，识别业务类型（注意力、交易、生产力）并按 7 项标准校验。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/north-star-metric/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/north-star-metric/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/north-star-metric/SKILL.md" }, { "name": "notion-workspace", "domain": "integrations", "path": "skills/integrations/notion-workspace", "file": "skills/integrations/notion-workspace/SKILL.md", "desc": "Build and parse Notion API payloads offline: page creation bodies, database query filters with cursor pagination, and block-to-Markdown rendering. Use when the user asks to write to Notion / sync to Notion / create a Notion page / query a Notion database / export a Notion page / organize a Notion workspace / write to Notion / create Notion page / query Notion database / export Notion page / sync notes to Notion. Do NOT use for Slack or Feishu messaging (use feishu-dingtalk-bridge), issue trackers (use issue-tracker-sync), or local Markdown files that never leave disk.", "desc_zh": "离线构建与解析 Notion API 载荷：页面创建体、带游标分页的数据库查询过滤，以及块转 Markdown，用于同步和导出笔记。", "license": "Apache-2.0", "compatibility": "Python 3.8+ stdlib only for the helper script. Live execution needs a Notion internal integration token in NOTION_TOKEN plus outbound HTTPS to api.notion.com — the bundled script never sends requests and runs fully offline.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/integrations/notion-workspace/SKILL.md", "packs": [ "workspace-integrations" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/integrations/notion-workspace/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/integrations/notion-workspace/SKILL.md" }, { "name": "observability-designer", "domain": "programming", "path": "skills/programming/infrastructure/observability-designer", "file": "skills/programming/infrastructure/observability-designer/SKILL.md", "desc": "Design production-ready observability strategies combining metrics, logs, and traces. Triggers on \"design a dashboard\", \"too many alerts\", \"alert fatigue\", \"golden signals\", \"grafana dashboard\", \"reduce alert noise\", \"monitoring for a new service\", \"observability strategy\", or \"alerting review\". Ships a Grafana dashboard generator (golden-signal panels per service type and role) and an alert optimizer (noise, duplicates, coverage gaps). Use when adding observability to a new service, designing monitoring and alerting, building an observability plan, building dashboards, or refactoring noisy alerting. Do NOT use for installing or operating observability agents, or for SLO/error-budget design (use slo-architect).", "desc_zh": "设计生产级可观测性方案，结合指标、日志与链路追踪：黄金信号仪表盘、告警降噪与覆盖缺口分析，适用于新服务监控与告警治理。", "license": "Apache-2.0", "compatibility": "Stdlib-only Python scripts. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/infrastructure/observability-designer/SKILL.md", "packs": [ "infrastructure" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/infrastructure/observability-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/infrastructure/observability-designer/SKILL.md" }, { "name": "onboarding", "domain": "hr", "path": "skills/hr/onboarding", "file": "skills/hr/onboarding/SKILL.md", "desc": "Generate an onboarding checklist and first-week plan for a new hire. Use when someone has a start date coming up, building the pre-start task list (accounts, equipment, buddy), scheduling Day 1 and Week 1, or setting 30/60/90-day goals for a new team member.", "desc_zh": "为新员工生成入职清单与首周计划：入职前账号设备与伙伴安排、Day 1 与第一周日程，以及 30/60/90 天目标。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/hr/onboarding/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/hr/onboarding/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/hr/onboarding/SKILL.md" }, { "name": "open-code-review", "domain": "programming", "path": "skills/programming/quality/open-code-review", "file": "skills/programming/quality/open-code-review/SKILL.md", "desc": "Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.", "desc_zh": "用 alibaba/open-code-review 的 ocr 命令行对 Git 变更做 AI 代码审查：审 PR、暂存改动或提交，输出行级评论并可自动修复。", "license": "Apache-2.0", "compatibility": "需要安装 ocr CLI（alibaba/open-code-review）与模型凭据。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/quality/open-code-review/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/open-code-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/open-code-review/SKILL.md" }, { "name": "operating-cadence", "domain": "ops", "path": "skills/ops/operating-cadence", "file": "skills/ops/operating-cadence/SKILL.md", "desc": "Designs the rhythm an organization runs on — which reviews happen weekly, monthly and quarterly, what each one decides, who owns the numbers presented, and how a signal at the front line reaches the people who can act on it. Use this to set up a management operating system, fix a meeting calendar that produces no decisions, work out where a recurring problem keeps failing to surface, or cut a review structure that has grown past what it informs.", "desc_zh": "设计组织运营节奏：周/月/季评审各决定什么、谁对数字负责、信息如何滚动。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/operating-cadence/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/operating-cadence/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/operating-cadence/SKILL.md" }, { "name": "optimize-for-gpu", "domain": "programming", "path": "skills/programming/science/optimize-for-gpu", "file": "skills/programming/science/optimize-for-gpu/SKILL.md", "desc": "GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.", "desc_zh": "在 NVIDIA 硬件上 GPU 加速科学 Python 并验证结果正确且更快：覆盖 CuPy、cuDF、cuML、cuGraph、NumPy/pandas 等工作负载与瓶颈分析。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/optimize-for-gpu/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/optimize-for-gpu/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/optimize-for-gpu/SKILL.md" }, { "name": "oschina-publisher", "domain": "writing", "path": "skills/writing/community/oschina-publisher", "file": "skills/writing/community/oschina-publisher/SKILL.md", "desc": "Helps adapt and write platform-native articles for OSChina (OSChina), the Chinese open-source developer community. Produces OSChina-style Markdown posts with open-source framing, code blocks, tags, and a practitioner voice. Use when the user asks for OSChina content, OSChina article, oschina article, oschina adaptation, platform-specific content for oschina, or publish to OSChina. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为开源中国 OSChina 撰写并适配平台原生文章，输出带开源视角、代码块与标签的 OSChina 风格 Markdown 技术文。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/community/oschina-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/community/oschina-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/community/oschina-publisher/SKILL.md" }, { "name": "outcome-roadmap", "domain": "product", "path": "skills/product/outcome-roadmap", "file": "skills/product/outcome-roadmap/SKILL.md", "desc": "Transform an output-focused roadmap into an outcome-focused one that communicates strategic intent. Rewrites initiatives as outcome statements reflecting user and business impacts. Use when shifting to outcome roadmaps, making a roadmap more strategic, or rewriting feature lists as outcomes.", "desc_zh": "把以产出为中心的路线图改写为以结果为中心，将功能条目改写成反映用户与业务影响的成果陈述，传递战略意图。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/outcome-roadmap/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/outcome-roadmap/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/outcome-roadmap/SKILL.md" }, { "name": "own-voice-rewrite", "domain": "education", "path": "skills/education/own-voice-rewrite", "file": "skills/education/own-voice-rewrite/SKILL.md", "desc": "Rewrite a homework draft in the student's own voice. Two calibration paths: if a real writing sample from the student is available, extract distributional voice features (sentence-length band, punctuation rhythm, connective preferences) and a negative-constraint list; otherwise fall back to grade-level calibration (primary / middle / high-school vocabulary, sentence-length caps) and declare it as a proxy. Then force-inject the student's real materials in place of generic filler, add restrained human touches, re-audit with ai-trace-auditor, and deliver with a read-through-before-submitting reminder plus an append-only calibration record. The human-warmth core of the homework-autopilot chain. Use when the user asks to rewrite in student voice / make it sound like me / remove essay tone / rewrite at my level / sounds like a student wrote it. Do NOT use for experiences the student never had, nor as a guarantee against AI detection.", "desc_zh": "用学生本人语气改写作业草稿：从真实写作样本提取句长与标点节奏等声音特征或按学段校准，注入真实素材并去除代写腔。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "2.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-22", "repo_file": "skills/education/own-voice-rewrite/SKILL.md", "packs": [ "homework-autopilot" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/education/own-voice-rewrite/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/education/own-voice-rewrite/SKILL.md" }, { "name": "paid-channel-prioritizer", "domain": "marketing", "path": "skills/marketing/gtm/paid-channel-prioritizer", "file": "skills/marketing/gtm/paid-channel-prioritizer/SKILL.md", "desc": "For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.", "desc_zh": "为起步阶段排序付费渠道：结合 ICP、竞品投放、预算约束与产品类型推荐先投哪里。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/paid-channel-prioritizer/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/paid-channel-prioritizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/paid-channel-prioritizer/SKILL.md" }, { "name": "paper-topic-selector", "domain": "paper", "path": "skills/paper/paper-topic-selector", "file": "skills/paper/paper-topic-selector/SKILL.md", "desc": "Identify research gaps and rank paper topics. Scans recent literature trends, finds underexplored areas, and scores candidates on the four-factor rubric (novelty 40% / feasibility 30% / impact 20% / buildability 10%) with a workload-vs-deadline feasibility model, returning ranked_topics plus rejected-with-reason. Use when selecting a paper topic / finding a research gap / choosing a journal venue / evaluating topic feasibility / scoring research topics / ranking paper candidates at the start of a research project. Do NOT use for writing the paper itself.", "desc_zh": "识别研究空白并给论文选题排序：扫描近期文献趋势，按新颖性、可行性、影响力、可构建性四因素评分并评估工期可行性。", "license": "Apache-2.0", "compatibility": "Gap analysis is prompt-based (may call web-search for trend scanning). Heuristic scoring via scripts/topic_selector.py, stdlib only. No API keys required.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/paper-topic-selector/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/paper-topic-selector/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/paper-topic-selector/SKILL.md" }, { "name": "pdf-pipeline", "domain": "office", "path": "skills/office/pdf-pipeline", "file": "skills/office/pdf-pipeline/SKILL.md", "desc": "Page-level PDF processing: merge multiple PDFs, split by page ranges, extract text with page tags, read/write metadata, rotate pages, and probe AcroForm fields or detect scanned (no text layer) files. Use when the user asks to merge PDFs / split a PDF / extract PDF text / rotate pages / merge pdfs / pdf metadata / page extraction / PDF manipulation. Do NOT use for generating Word documents (use docx-writer), editing slide decks, or image editing.", "desc_zh": "页面级 PDF 处理：合并、按页码范围拆分、带页标签提取文本、读写元数据、旋转页面，并探测表单域或识别扫描件。", "license": "Apache-2.0", "compatibility": "Requires python3 + pypdf (pip-installable); without it only operational guidance and command lists can be given.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/office/pdf-pipeline/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/pdf-pipeline/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/pdf-pipeline/SKILL.md" }, { "name": "peer-review", "domain": "programming", "path": "skills/programming/science/peer-review", "file": "skills/programming/science/peer-review/SKILL.md", "desc": "Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Use for authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.", "desc_zh": "撰写有证据依据、建设性的同行评审草稿与结构化稿件评估：报告规范选择、结论与证据核对、方法统计与可复现性审阅。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/peer-review/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/peer-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/peer-review/SKILL.md" }, { "name": "performance-profiler", "domain": "programming", "path": "skills/programming/performance/performance-profiler", "file": "skills/programming/performance/performance-profiler/SKILL.md", "desc": "Systematic performance profiling for Node.js, Python, and Go apps: locate CPU/memory/I/O bottlenecks, generate flame graphs, analyze bundle size, optimize database queries, and run load tests with k6 and Artillery. Always measure before changing. Use when troubleshooting a slow endpoint, planning a performance budget, tracking a memory leak, profiling performance, finding a bottleneck, or optimizing slow code. Do NOT use when the ask is to patch business logic or refactor the hot path directly (this skill only diagnoses and recommends).", "desc_zh": "对 Node.js、Python、Go 应用做系统性能剖析：定位 CPU/内存/IO 瓶颈、生成火焰图、分析包体积、优化数据库查询并做压测。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/performance/performance-profiler/SKILL.md", "packs": [ "performance" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/performance/performance-profiler/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/performance/performance-profiler/SKILL.md" }, { "name": "performance-review", "domain": "hr", "path": "skills/hr/performance-review", "file": "skills/hr/performance-review/SKILL.md", "desc": "Structure a performance review with self-assessment, manager template, and calibration prep. Use when review season kicks off and you need a self-assessment template, writing a manager review for a direct report, prepping rating distributions and promotion cases for calibration, or turning vague feedback into specific behavioral examples.", "desc_zh": "组织绩效评估：提供自评模板、经理评估模板与校准准备，把模糊反馈转成具体行为事例，支持评分分布与晋升案例。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/hr/performance-review/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/hr/performance-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/hr/performance-review/SKILL.md" }, { "name": "personal-voice-profile", "domain": "writing", "path": "skills/writing/personal-voice-profile", "file": "skills/writing/personal-voice-profile/SKILL.md", "desc": "Distill a reusable personal voice profile from >=3 samples of the user's own writing: lexical habits and catchphrases, syntactic stats (sentence length median/variance, paragraph habits), tonal markers, structural tics, plus 3 verbatim representative snippets; outputs voice-profile.json and a one-page imitation card. Use when the user asks to build a style profile / distill my writing style / analyze my writing habits / make AI write like me / voice profile / writing style analysis / mimic my writing style. Do NOT use on third-party text without the author's consent, and never to impersonate someone else.", "desc_zh": "从至少 3 篇本人写作样本提炼可复用的个人语气画像：词汇习惯、句法统计、语气标志与结构特征，输出 voice-profile.json 与仿写卡。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no scripts, no environment probing. Optionally pairs with ai-trace-auditor's stdlib scanner downstream, but needs nothing itself.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/writing/personal-voice-profile/SKILL.md", "packs": [ "de-ai-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/personal-voice-profile/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/personal-voice-profile/SKILL.md" }, { "name": "personal-wiki", "domain": "knowledge", "path": "skills/knowledge/personal-wiki", "file": "skills/knowledge/personal-wiki/SKILL.md", "desc": "Build and maintain a personal markdown wiki with a two-layer raw/notes layout, then index, full-text search, lint, and report on it. Turns loose clippings into a linked, tagged, searchable knowledge base and surfaces orphan notes, broken wiki links, and empty stubs. Use when the user asks to build a personal knowledge base / set up a wiki / organize my notes / link notes to each other / search my note vault / build a personal wiki / organize my notes / find orphan notes / search my note vault / knowledge base / documentation / wiki / information architecture / research. Do NOT use for extracting durable facts into agent memory (use memory-extractor), for building an entity-relation graph with metrics (use knowledge-graph-builder), or for publishing notes as a website.", "desc_zh": "搭建并维护个人 Markdown 知识库（原始素材与笔记双层结构），做索引、全文搜索、检查与报告，暴露孤立笔记与断链。", "license": "Apache-2.0", "compatibility": "Requires Python 3.8+; this skill's scripts use only the standard library, with no third-party dependencies.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/knowledge/personal-wiki/SKILL.md", "packs": [ "knowledge-base" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/knowledge/personal-wiki/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/knowledge/personal-wiki/SKILL.md" }, { "name": "php-development", "domain": "programming", "path": "skills/programming/standards/php-development", "file": "skills/programming/standards/php-development/SKILL.md", "desc": "Expert guidance for PHP 8+ development with SOLID principles, PSR standards, and modern best practices", "desc_zh": "PHP 8+ 规范：SOLID 原则与 PSR 标准。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/php-development/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/php-development/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/php-development/SKILL.md" }, { "name": "pii-redactor", "domain": "programming", "path": "skills/programming/security/pii-redactor", "file": "skills/programming/security/pii-redactor/SKILL.md", "desc": "Detect and redact personally identifiable information (PII) in logs, chat transcripts, files, and structured data before sharing or logging. Use when the user asks to redact PII / scrub sensitive data / PII detection / mask data / privacy cleanup / compliant logging / GDPR redaction / anonymize logs / mask PII / redact personal data / scrub PII / ID card / phone number / email redaction. Do NOT use for encryption at rest, key management, or secret rotation (use secrets-vault-manager / env-secrets-manager); this skill redacts already-visible text and structured fields.", "desc_zh": "在日志、聊天记录、文件与结构化数据中检测并脱敏个人身份信息：身份证、手机号、邮箱等，用于合规日志与共享前隐私清理。", "license": "Apache-2.0", "compatibility": "Pure Python 3 stdlib (no third-party deps). Read-only scan by default; redaction writes a NEW output file, never mutates the source. Credentials not required.", "version": "1.1", "tier": "powerful", "pattern": "script", "verified": "2026-09-21", "repo_file": "skills/programming/security/pii-redactor/SKILL.md", "packs": [ "security" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/pii-redactor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/pii-redactor/SKILL.md" }, { "name": "planning-and-task-breakdown", "domain": "programming", "path": "skills/programming/engineering/planning-and-task-breakdown", "file": "skills/programming/engineering/planning-and-task-breakdown/SKILL.md", "desc": "Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.", "desc_zh": "把需求或规格拆解为有序可执行的任务，估算范围、安排依赖顺序，适用于任务过大难启动或可并行的场景。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/planning-and-task-breakdown/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/planning-and-task-breakdown/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/planning-and-task-breakdown/SKILL.md" }, { "name": "podcast-producer", "domain": "audio", "path": "skills/audio/podcast-producer", "file": "skills/audio/podcast-producer/SKILL.md", "desc": "Produce a podcast episode script from a topic or a document: hook-first outline, segment structure with target durations, two-voice dialogue or single-voice narration, and a shownotes draft. Hard rule: spoken words only — no stage directions, no [pause] markers, TTS reads everything verbatim. Chain entry of audio-studio; hands the script to tts-voice-director. Use when the user asks to make a podcast / write a podcast script / podcast script / audio show / turn an article into a podcast / NotebookLM-style audio / podcast / TTS / voice. Do NOT use for voice selection or synthesis parameters (tts-voice-director), nor for publishing metadata (episode-publisher).", "desc_zh": "根据主题或文档生成播客单集脚本：先钩子的大纲、含时长的分段结构、双人对话或单人讲述及节目笔记草稿，只留口语内容。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; the bundled script_lint.py needs Python 3.8+ only.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/audio/podcast-producer/SKILL.md", "packs": [ "audio-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/audio/podcast-producer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/audio/podcast-producer/SKILL.md" }, { "name": "polars", "domain": "programming", "path": "skills/programming/science/polars", "file": "skills/programming/science/polars/SKILL.md", "desc": "High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.", "desc_zh": "面向 Python ETL、分析与 pandas 迁移的高性能 DataFrame 库，支持表达式惰性查询优化、并行与流式外存处理、Arrow 互操作。", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/polars/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/polars/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/polars/SKILL.md" }, { "name": "policy-lookup", "domain": "hr", "path": "skills/hr/policy-lookup", "file": "skills/hr/policy-lookup/SKILL.md", "desc": "Find and explain company policies in plain language. Trigger with \"what's our PTO policy\", \"can I work remotely from another country\", \"how do expenses work\", or any plain-language question about benefits, travel, leave, or handbook rules.", "desc_zh": "用大白话查询并解释公司政策，如带薪休假、异地远程办公、报销流程，以及福利、出差、假期与员工手册规定。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/hr/policy-lookup/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/hr/policy-lookup/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/hr/policy-lookup/SKILL.md" }, { "name": "postgresql-table-design", "domain": "programming", "path": "skills/programming/quality/postgresql-table-design", "file": "skills/programming/quality/postgresql-table-design/SKILL.md", "desc": "Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features", "desc_zh": "设计或审查 PostgreSQL 数据库表结构：最佳实践、数据类型、索引、约束、性能模式与高级特性。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/postgresql-table-design/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/postgresql-table-design/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/postgresql-table-design/SKILL.md" }, { "name": "ppt-builder", "domain": "ppt", "path": "skills/ppt/ppt-builder", "file": "skills/ppt/ppt-builder/SKILL.md", "desc": "Build presentation decks: structured outline, per-slide content spec, and a real .pptx file via bundled script (with graceful markdown fallback). Use when the user asks to make a PPT / build a presentation / write slides / create slides / make a deck / prepare a presentation about X / PowerPoint / presentation design / deck. Do NOT use for Word documents, spreadsheets, or PDF forms.", "desc_zh": "制作演示文稿：结构化大纲、逐页内容规格，并通过内置脚本生成真实 .pptx 文件（Markdown 兜底），用于做 PPT 与幻灯片。", "license": "Apache-2.0", "compatibility": "Optional python3 with python-pptx for .pptx export; fallback needs nothing.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/ppt/ppt-builder/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ppt/ppt-builder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ppt/ppt-builder/SKILL.md" }, { "name": "pre-mortem", "domain": "product", "path": "skills/product/pre-mortem", "file": "skills/product/pre-mortem/SKILL.md", "desc": "Run a pre-mortem risk analysis on a PRD or launch plan. Categorizes risks as Tigers (real problems), Paper Tigers (overblown concerns), and Elephants (unspoken worries), then classifies as launch-blocking, fast-follow, or track. Use when preparing for launch, stress-testing a product plan, or identifying what could go wrong.", "desc_zh": "对 PRD 或发布计划做事前验尸风险分析：把风险分为真问题、虚惊与隐忧，并按阻塞发布、快速跟进或跟踪分类。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/pre-mortem/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/pre-mortem/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/pre-mortem/SKILL.md" }, { "name": "pricing-and-packaging", "domain": "product", "path": "skills/product/pricing-and-packaging", "file": "skills/product/pricing-and-packaging/SKILL.md", "desc": "Sets price, structures packages and tiers, and designs the monetization surfaces that carry them — upgrade paths, paywalls, and offer construction. Use this to set or change pricing, design or restructure tiers, choose a pricing metric, build an offer, design upgrade prompts and paywalls, or evaluate whether a pricing change is safe to make.", "desc_zh": "定价与套餐设计：分层、升级路径、付费墙与优惠构造，把价值映射到价格。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/pricing-and-packaging/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/pricing-and-packaging/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/pricing-and-packaging/SKILL.md" }, { "name": "prioritization-frameworks", "domain": "product", "path": "skills/product/prioritization-frameworks", "file": "skills/product/prioritization-frameworks/SKILL.md", "desc": "Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or learning how different prioritization approaches work.", "desc_zh": "9 种优先级排序框架参考指南，含公式、适用场景与模板：RICE、ICE、Kano、MoSCoW、机会评分等，帮助选择与比较方法。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/prioritization-frameworks/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/prioritization-frameworks/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/prioritization-frameworks/SKILL.md" }, { "name": "process-design", "domain": "ops", "path": "skills/ops/process-design", "file": "skills/ops/process-design/SKILL.md", "desc": "Designs, documents, and fixes operational processes — mapping the current state, finding where work actually stalls, redesigning the flow, and building controls that hold. Use this when the same failure keeps recurring, when a handoff between teams is unreliable, when onboarding a repeated task, when work takes far longer than the work itself, or when deciding whether to automate, standardize, or eliminate a process.", "desc_zh": "设计、记录并修复运营流程：映射现状、找真实卡点、重设流程与配套度量。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/process-design/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/process-design/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/process-design/SKILL.md" }, { "name": "process-optimization", "domain": "ops", "path": "skills/ops/process-optimization", "file": "skills/ops/process-optimization/SKILL.md", "desc": "Analyze and improve business processes. Trigger with \"this process is slow\", \"how can we improve\", \"streamline this workflow\", \"too many steps\", \"bottleneck\", or when the user describes an inefficient process they want to fix.", "desc_zh": "分析并优化业务流程：针对流程慢、步骤多、瓶颈与低效工作流，给出精简步骤与改进方案。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/process-optimization/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/process-optimization/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/process-optimization/SKILL.md" }, { "name": "product-copywriter", "domain": "marketing", "path": "skills/marketing/product-copywriter", "file": "skills/marketing/product-copywriter/SKILL.md", "desc": "Write conversion-focused e-commerce product copy from raw product facts: framework selection (FAB / PAS / AIDA), benefit-first headlines, objection-handling section, and fact hygiene (no invented specs). Chain entry of growth-marketing — its copy feeds campaign-designer and channel-adapter directly. Use when the user asks to write product copy / detail page / selling points / product description / sales copy / product description / seeding copy / marketing campaign / conversion. Do NOT use for full campaign calendars (campaign-designer), nor per-platform reformatting of finished copy (channel-adapter).", "desc_zh": "基于原始产品事实撰写高转化电商文案：选择 FAB/PAS/AIDA 框架，写利益优先标题与异议处理段落，不虚构参数。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.1", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/marketing/product-copywriter/SKILL.md", "packs": [ "growth-marketing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/product-copywriter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/product-copywriter/SKILL.md" }, { "name": "program-management", "domain": "ops", "path": "skills/ops/program-management", "file": "skills/ops/program-management/SKILL.md", "desc": "Plans and drives cross-functional programs to delivery — scope, sequencing, dependencies, status, risk, and the escalations that keep work moving. Use this to run a multi-team initiative, recover a program that is slipping, build a delivery plan with dependencies, structure status reporting, or diagnose why cross-team work keeps missing dates.", "desc_zh": "跨职能项目管理：范围、排序、依赖、状态、风险与升级机制，推进到交付。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/program-management/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/program-management/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/program-management/SKILL.md" }, { "name": "prompt-injection-guard", "domain": "programming", "path": "skills/programming/security/prompt-injection-guard", "file": "skills/programming/security/prompt-injection-guard/SKILL.md", "desc": "Detect and defend against prompt injection / jailbreak attempts in untrusted input fed to LLMs. Use when the user asks for prompt-injection detection / jailbreak protection / jailbreak defense / prompt injection / anti-injection / input sanitization / malicious-prompt identification / prompt security review / multilingual injection / indirect injection. Do NOT use for red-team penetration (this is detection, not attack generation) or for fine-tuning / alignment research; it scans text input, flags suspicious patterns, and emits a verdict.", "desc_zh": "检测并防御输入 LLM 的提示注入与越狱攻击：扫描不可信文本、识别多语言与间接注入、标记可疑模式并输出判定结论。", "license": "Apache-2.0", "compatibility": "Pure Python 3 stdlib, offline, zero deps, zero network. Read-only: only reads the target text and writes a verdict report; never mutates input. No credentials required.", "version": "1.0", "tier": "powerful", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/programming/security/prompt-injection-guard/SKILL.md", "packs": [ "security" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/prompt-injection-guard/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/prompt-injection-guard/SKILL.md" }, { "name": "pub-plotter", "domain": "paper", "path": "skills/paper/pub-plotter", "file": "skills/paper/pub-plotter/SKILL.md", "desc": "Publication-grade plots with REAL journal physical widths (Nature/Science/IEEE/ACM/NeurIPS), Type-42 font embedding (pdf.fonttype=42, arXiv/LaTeX-safe), colorblind-safe palettes by default, and optional real `scienceplots` integration. Covers line / bar / boxplot / heatmap. This is the canonical paper plotting skill. Outputs PDF/PNG. Use when the user asks for journal-style figures / IEEE-style line plots / paper figures / publication-grade charts / camera-ready figures / figures sized to Nature/Science layout / heatmaps / publication plot. Do NOT use for architecture diagrams (use arch-diagram) or neuron-level networks (use neural-net-draw).", "desc_zh": "生成出版级论文图表：按 Nature/Science/IEEE/ACM/NeurIPS 真实版宽、Type-42 字体嵌入、色盲友好配色，支持折线/柱状/箱线/热力图。", "license": "Apache-2.0", "compatibility": "Requires matplotlib (Agg backend). Uses real `scienceplots` if installed, else built-in equivalent rcParams (offline). When matplotlib absent -> status \"mock\" (no image, MUST tell user).", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/pub-plotter/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/pub-plotter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/pub-plotter/SKILL.md" }, { "name": "python", "domain": "programming", "path": "skills/programming/standards/python", "file": "skills/programming/standards/python/SKILL.md", "desc": "Expert in Python development with best practices across web, data science, and automation", "desc_zh": "Python 开发最佳实践：覆盖 Web、数据科学与自动化。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/python/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/python/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/python/SKILL.md" }, { "name": "receiving-code-review", "domain": "programming", "path": "skills/programming/methodology/receiving-code-review", "file": "skills/programming/methodology/receiving-code-review/SKILL.md", "desc": "Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation", "desc_zh": "在采纳代码评审意见前，以技术严谨性核实反馈，避免表演式认同或盲目照做，尤其当意见含糊或技术上可疑。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/receiving-code-review/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/receiving-code-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/receiving-code-review/SKILL.md" }, { "name": "recruiting-pipeline", "domain": "hr", "path": "skills/hr/recruiting-pipeline", "file": "skills/hr/recruiting-pipeline/SKILL.md", "desc": "Track and manage recruiting pipeline stages. Trigger with \"recruiting update\", \"candidate pipeline\", \"how many candidates\", \"hiring status\", or when the user discusses sourcing, screening, interviewing, or extending offers.", "desc_zh": "跟踪与管理招聘流程各阶段：候选人管道、来源筛选、面试与发 offer 进度，以及招聘状态汇总。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/hr/recruiting-pipeline/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/hr/recruiting-pipeline/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/hr/recruiting-pipeline/SKILL.md" }, { "name": "rental-contract-guide", "domain": "life", "path": "skills/life/rental-contract-guide", "file": "skills/life/rental-contract-guide/SKILL.md", "desc": "Consumer-protection guide for Chinese urban renters: avoid fake landlords, rent-loan traps, and deposit loss; understand contract terms and move-in/move-out inspection. Use when the user is renting an apartment, signing a lease, checking a rental contract, dealing with deposit disputes, or doing move-in / move-out inspection. Triggers: rental contract / lease review / deposit dispute / move-in inspection / lease agreement / sub-landlord. Do NOT use for: home purchase contracts (different legal framework), or as a substitute for legal advice.", "desc_zh": "面向中国城市租客的消费保护指南：识别假房东、租金贷陷阱与押金损失，理解合同条款及入住退租验房，应对押金纠纷。", "license": "Apache-2.0", "compatibility": "Pure prompt skill, no scripts.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-25", "repo_file": "skills/life/rental-contract-guide/SKILL.md", "packs": [ "life-essentials" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/life/rental-contract-guide/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/life/rental-contract-guide/SKILL.md" }, { "name": "requesting-code-review", "domain": "programming", "path": "skills/programming/methodology/requesting-code-review", "file": "skills/programming/methodology/requesting-code-review/SKILL.md", "desc": "Use when completing tasks, implementing major features, or before merging to verify work meets requirements", "desc_zh": "在完成任务、实现重要功能或合并前发起代码评审，核验工作是否满足需求。", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/requesting-code-review/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/requesting-code-review/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/requesting-code-review/SKILL.md" }, { "name": "research-synthesis", "domain": "design", "path": "skills/design/research-synthesis", "file": "skills/design/research-synthesis/SKILL.md", "desc": "Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.", "desc_zh": "把用户研究（访谈记录、问卷、可用性测试、工单、NPS）综合成主题、洞察与建议，提炼用户细分与优先级行动。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/design/research-synthesis/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/research-synthesis/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/research-synthesis/SKILL.md" }, { "name": "result-visualizer", "domain": "programming", "path": "skills/programming/math/result-visualizer", "file": "skills/programming/math/result-visualizer/SKILL.md", "desc": "Plot model results into charts (line, scatter, histogram) as PNG/SVG for reports and presentations. When to use: the model is solved or the simulation is complete and you need a visualization — e.g. plotting results, data visualization, making a chart, or drawing line/scatter/histogram charts. Do NOT use for statistical inference beyond the given results, for numerical solving (use model-solver), for formalizing the model (use model-formulator), or for heatmap/bar charts not implemented by the bundled script (build those directly with matplotlib).", "desc_zh": "把模型或仿真结果绘制成图表（折线、散点、直方图），导出 PNG/SVG 用于报告与演示。", "license": "Apache-2.0", "compatibility": "Requires matplotlib. No API keys required.", "version": "1.0", "tier": "basic", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/math/result-visualizer/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/math/result-visualizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/math/result-visualizer/SKILL.md" }, { "name": "resume-tailor", "domain": "office", "path": "skills/office/resume-tailor", "file": "skills/office/resume-tailor/SKILL.md", "desc": "Tailor a resume to one specific job description: extract JD requirements, build a gap matrix, rewrite bullets with metrics (STAR), and output an ATS-safe document plus an edit changelog. Use when the user asks to tailor a resume / customize CV for a job / rewrite resume for this JD / tailor my resume for this JD / optimize my CV / resume customization. Do NOT use for writing cover letters, LinkedIn profiles, or fabricating experience.", "desc_zh": "针对特定职位描述定制简历：提取 JD 要求、建立差距矩阵、用 STAR 与量化改写要点，输出 ATS 友好文档与修改记录。", "license": "Apache-2.0", "compatibility": "No special environment needed; accepts plain text or pasted resume.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-08-26", "repo_file": "skills/office/resume-tailor/SKILL.md", "packs": [ "office-productivity" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/office/resume-tailor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/office/resume-tailor/SKILL.md" }, { "name": "review-contract", "domain": "legal", "path": "skills/legal/review-contract", "file": "skills/legal/review-contract/SKILL.md", "desc": "Review a contract against your organization's negotiation playbook — flag deviations, generate redlines, provide business impact analysis. Use when reviewing vendor or customer agreements, when you need clause-by-clause analysis against standard positions, or when preparing a negotiation strategy with prioritized redlines and fallback positions.", "desc_zh": "按组织谈判手册审查合同：标注偏离条款、生成红线修订并提出业务影响分析，支持逐条比对与谈判策略准备。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/legal/review-contract/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/legal/review-contract/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/legal/review-contract/SKILL.md" }, { "name": "risk-assessment", "domain": "ops", "path": "skills/ops/risk-assessment", "file": "skills/ops/risk-assessment/SKILL.md", "desc": "Identify, assess, and mitigate operational risks. Trigger with \"what are the risks\", \"risk assessment\", \"risk register\", \"what could go wrong\", or when the user is evaluating risks associated with a project, vendor, process, or decision.", "desc_zh": "识别、评估并缓解运营风险：输出风险清单与登记册，分析项目、供应商、流程或决策可能出问题之处。", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/risk-assessment/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/risk-assessment/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/risk-assessment/SKILL.md" }, { "name": "ruby", "domain": "programming", "path": "skills/programming/standards/ruby", "file": "skills/programming/standards/ruby/SKILL.md", "desc": "Ruby development guidelines covering idiomatic code style, Ruby 3.x features, testing with RSpec, and best practices for building maintainable Ruby applications.", "desc_zh": "Ruby 规范：地道写法、Ruby 3.x 特性与 RSpec 测试。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/ruby/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/ruby/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/ruby/SKILL.md" }, { "name": "runbook-generator", "domain": "programming", "path": "skills/programming/incident/runbook-generator", "file": "skills/programming/incident/runbook-generator/SKILL.md", "desc": "Generate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment. Use when writing an ops manual, generating a runbook, documenting on-call or emergency-response procedures, documenting on-call procedures for a new service, standardizing incident response across teams, or producing runbooks before launching to production. Do NOT use for executing the runbook steps (generation only).", "desc_zh": "根据服务名生成运维手册：部署、事件响应、维护与回滚流程，模板化结构可按环境定制，产出即用型 runbook。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "code-generator", "verified": "2026-09-09", "repo_file": "skills/programming/incident/runbook-generator/SKILL.md", "packs": [ "incident-response" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/incident/runbook-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/incident/runbook-generator/SKILL.md" }, { "name": "rust", "domain": "programming", "path": "skills/programming/standards/rust", "file": "skills/programming/standards/rust/SKILL.md", "desc": "Expert in Rust development with focus on safety, performance, and async programming", "desc_zh": "Rust 开发规范：内存安全、性能与异步编程。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/rust/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/rust/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/rust/SKILL.md" }, { "name": "scenario-planning", "domain": "leadership", "path": "skills/leadership/scenario-planning", "file": "skills/leadership/scenario-planning/SKILL.md", "desc": "Plans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold, before a large irreversible commitment, or when a market, regulatory, or technology shift could invalidate the strategy.", "desc_zh": "在真实不确定下做情景规划：构建情景、找承重假设、设早期预警指标并做压力测试。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/leadership/scenario-planning/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/leadership/scenario-planning/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/leadership/scenario-planning/SKILL.md" }, { "name": "secrets-vault-manager", "domain": "programming", "path": "skills/programming/security/secrets-vault-manager", "file": "skills/programming/security/secrets-vault-manager/SKILL.md", "desc": "Use when the user asks to set up secret management infrastructure, integrate HashiCorp Vault, configure cloud secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), implement secret rotation, or audit secret access patterns. Triggers on \"set up Vault\", \"vault policies\", \"AppRole or OIDC auth\", \"rotate database credentials\", \"dynamic secrets\", \"vault audit log\", \"secret leak response\", \"External Secrets Operator\", using a vault to manage credentials, secret rotation, or auditing secret access. Do NOT use for storing or reading production secret values (workflow design only); local .env hygiene lives in env-secrets-manager.", "desc_zh": "搭建密钥管理基础设施：集成 HashiCorp Vault、配置 AWS/Azure/GCP 云密钥库、实现凭证轮换与密钥访问审计，仅做流程设计。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-09", "repo_file": "skills/programming/security/secrets-vault-manager/SKILL.md", "packs": [ "security" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/security/secrets-vault-manager/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/security/secrets-vault-manager/SKILL.md" }, { "name": "segmentfault-publisher", "domain": "writing", "path": "skills/writing/community/segmentfault-publisher", "file": "skills/writing/community/segmentfault-publisher/SKILL.md", "desc": "Helps adapt and write platform-native articles and Q&A for SegmentFault (SegmentFault), the Chinese developer Q&A and technical blog community. Produces SegmentFault-style Markdown posts with strong code blocks, tags, and a technical Q&A / how-to voice. Use when the user asks for SegmentFault content, SegmentFault article, segmentfault article, segmentfault adaptation, platform-specific content for segmentfault, or publish to SegmentFault. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为开发者问答与技术社区 SegmentFault 撰写并适配平台原生文章与问答，输出带代码块与标签的 SegmentFault 风格 Markdown。", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/community/segmentfault-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/community/segmentfault-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/community/segmentfault-publisher/SKILL.md" }, { "name": "self-eval", "domain": "programming", "path": "skills/programming/ai-engineering/self-eval", "file": "skills/programming/ai-engineering/self-eval/SKILL.md", "desc": "Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions. Use when the user runs /self-eval, asks to evaluate my work quality / self-assessment / review this task / check if the score is inflated / honest review / rate my work. Do NOT use for grading user answers or producing production artifacts.", "desc_zh": "用双轴评分诚实评估 AI 工作质量：识别分数虚高、强制扮演反方举证，并在会话间保留分数，用于任务后的自评复盘。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no external tools. May append to `.self-eval-scores.jsonl` in the working directory.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-09-09", "repo_file": "skills/programming/ai-engineering/self-eval/SKILL.md", "packs": [ "ai-agent-development" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ai-engineering/self-eval/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ai-engineering/self-eval/SKILL.md" }, { "name": "self-reviewer", "domain": "paper", "path": "skills/paper/self-reviewer", "file": "skills/paper/self-reviewer/SKILL.md", "desc": "Simulate a peer review pass on your own draft: structural gates + ML reproducibility rubric (statistical significance, ablation, baselines, code/data/seeds), each check with reviewable evidence. Use when simulating a review / self-checking a paper / pre-submission check / reviewer-perspective check / paper structure self-review / checking whether it is ready to submit / after receiving reviewer comments that need self-checking. Do NOT use for LaTeX formatting cleanup (use latex-formatter) or adapting to a journal template (use journal-adapt) or writing the paper itself.", "desc_zh": "以审稿人视角对自己的论文草稿做同行评审模拟：结构关卡与机器学习可复现性评分，覆盖显著性、消融、基线、代码数据种子。", "license": "Apache-2.0", "compatibility": "Stdlib only; reads .tex or plain-text drafts. Optional LLM evidence via --llm-evidence JSON.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/self-reviewer/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/self-reviewer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/self-reviewer/SKILL.md" }, { "name": "senior-architect", "domain": "programming", "path": "skills/programming/architecture/senior-architect", "file": "skills/programming/architecture/senior-architect/SKILL.md", "desc": "This skill should be used when the user asks to \"design system architecture\", do architecture review, tech selection, write an architecture decision record (ADR), do a system design review, split microservices, \"evaluate microservices vs monolith\", \"create architecture diagrams\", \"analyze dependencies\", \"choose a database\", \"plan for scalability\", \"make technical decisions\", or \"review system design\". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format. Also triggers on a system design review. Do NOT use for writing detailed implementation code (output stays at architecture level).", "desc_zh": "系统架构设计、架构评审、技术选型、撰写 ADR，生成 Mermaid、PlantUML 或 ASCII 架构图", "license": "Apache-2.0", "compatibility": "Pure prompt-based; runs Python stdlib scripts via Bash. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "architecture", "verified": "2026-09-09", "repo_file": "skills/programming/architecture/senior-architect/SKILL.md", "packs": [ "architecture" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/architecture/senior-architect/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/architecture/senior-architect/SKILL.md" }, { "name": "seo-opportunity-finder", "domain": "marketing", "path": "skills/marketing/gtm/seo-opportunity-finder", "file": "skills/marketing/gtm/seo-opportunity-finder/SKILL.md", "desc": "Find quick-win SEO content opportunities by comparing your site's existing content against competitor keyword rankings. Chains site-content-catalog and seo-domain-analyzer to build a content inventory, then identifies gaps — topics competitors rank for that you don't cover yet. Outputs a prioritized list of posts to write or update. Use when a seed/Series A team wants to start winning organic traffic without guessing.", "desc_zh": "对比自身内容与竞品关键词排名，找出快赢 SEO 选题机会。", "license": "MIT", "compatibility": "纯提示型；部分技能需外部数据源或脚本（广告库抓取、API 密钥等），无密钥时走公开数据路径。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/marketing/gtm/seo-opportunity-finder/SKILL.md", "packs": [ "gtm-growth" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/marketing/gtm/seo-opportunity-finder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/marketing/gtm/seo-opportunity-finder/SKILL.md" }, { "name": "seo-optimizer", "domain": "writing", "path": "skills/writing/seo-optimizer", "file": "skills/writing/seo-optimizer/SKILL.md", "desc": "Optimize article for search: extract keywords, generate meta tags, score SEO quality, and adapt titles/captions per platform. Use after editing, before publishing to specific platforms. Use when the user asks to do SEO optimization / pick keywords / optimize the title / check keyword density / generate a meta description / optimize SEO / extract keywords / SEO score / meta description / platform title limits. Do NOT use for paid advertising strategy, ad bidding, or writing the article itself.", "desc_zh": "文章 SEO 优化：提取关键词、生成 meta 标签与描述、评估 SEO 得分、按平台适配标题长度", "license": "Apache-2.0", "compatibility": "Pure Python analysis. No API keys required.", "version": "2.0", "tier": "sota", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/writing/seo-optimizer/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/seo-optimizer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/seo-optimizer/SKILL.md" }, { "name": "service-level-management", "domain": "ops", "path": "skills/ops/service-level-management", "file": "skills/ops/service-level-management/SKILL.md", "desc": "Defines and manages service levels — setting targets that reflect what customers need, measuring honestly, and handling breaches. Use this to write or negotiate an SLA, decide what to measure and at what threshold, respond to a missed service level, or work out why a service that meets its targets still has unhappy customers.", "desc_zh": "服务等级管理：设定贴合客户需求的目标、如实度量并处理违约。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/service-level-management/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/service-level-management/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/service-level-management/SKILL.md" }, { "name": "session-handoff", "domain": "meta", "path": "skills/meta/session-handoff", "file": "skills/meta/session-handoff/SKILL.md", "desc": "Compress a long in-flight session into a cold-start handoff doc so a fresh agent (or a future-you, or a teammate) can pick up with zero context: goal, done, next, gotchas, key files, one-page cheat sheet. Use when the user asks for a handoff / session handoff / write the current state for the next person / cold-start pickup / context compression / knowledge transfer. Do NOT use for long-term memory across projects (use memory-architect) or for final deliverable reports (this is an internal relay, not a finished doc).", "desc_zh": "把进行中的长会话压缩成冷启动交接文档，含目标、进度、下一步、坑点与关键文件，供新 Agent 接手", "license": "Apache-2.0", "compatibility": "Pure local Markdown generation; offline, no network, no credentials; default dry-run.", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/meta/session-handoff/SKILL.md", "packs": [ "skill-forge" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/session-handoff/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/session-handoff/SKILL.md" }, { "name": "ship-gate", "domain": "programming", "path": "skills/programming/cicd/ship-gate", "file": "skills/programming/cicd/ship-gate/SKILL.md", "desc": "Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. Intercepts deploy commands and blocks until critical items pass. Use when doing a pre-launch check, a release gate, pre-release review, a launch check, a pre-release audit, or a deployment gate. Also triggers on / pre-deploy audit / release checklist. Do NOT use for fixing the failures it reports (this skill only gates and reports).", "desc_zh": "上线前发布门禁审计：扫描安全、数据库、部署、代码质量、依赖与可观测性问题，拦截部署直到严重项通过。", "license": "Apache-2.0", "compatibility": "Pure prompt-based; runs Python stdlib scanner via Bash. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/cicd/ship-gate/SKILL.md", "packs": [ "ci-cd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cicd/ship-gate/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cicd/ship-gate/SKILL.md" }, { "name": "shipping-and-launch", "domain": "programming", "path": "skills/programming/engineering/shipping-and-launch", "file": "skills/programming/engineering/shipping-and-launch/SKILL.md", "desc": "Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.", "desc_zh": "生产发布准备：提供上线前检查清单、监控配置、分阶段灰度发布计划与回滚策略", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/shipping-and-launch/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/shipping-and-launch/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/shipping-and-launch/SKILL.md" }, { "name": "shot-designer", "domain": "video", "path": "skills/video/shot-designer", "file": "skills/video/shot-designer/SKILL.md", "desc": "Design cinematic shots and write cross-model text-to-video prompts. Two modes: (A) assemble a shot list from 12 recipe cards (establishing-wide, hook-pop-in, insert-closeup, parallax-push, title-card, match-cut, reaction-cutaway, process-montage, reveal-pan, beat-sync-cut, final-frame-hold, cta-endcard), each with energy and duration; or (B) build a custom six-slot prompt (subject + action + camera + lighting + style + duration/aspect) and audit it with bundled prompt_audit.py. Includes a full camera-design reference: shot sizes ECU to ELS, angles, moves, composition. Use when the user asks to design shots / produce a shot list / write a video prompt / text-to-video prompt / prompt audit / camera-move design / transition design / make footage cinematic for a promo, short film, or product video. Do NOT use for generating the video itself, writing dialogue or narration (use video-script-writer), or static image prompts (image-generation owns those).", "desc_zh": "设计电影感分镜与跨模型文生视频提示词，含镜头景别、机位运动、构图与转场参考", "license": "Apache-2.0", "compatibility": "Pure prompt-based design; the bundled scripts/prompt_audit.py needs Python 3.8+ only.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-24", "repo_file": "skills/video/shot-designer/SKILL.md", "packs": [ "video-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/shot-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/shot-designer/SKILL.md" }, { "name": "simulation-runner", "domain": "programming", "path": "skills/programming/math/simulation-runner", "file": "skills/programming/math/simulation-runner/SKILL.md", "desc": "Run simulations: parameter sweeps, Monte Carlo, one-at-a-time (OAT) sensitivity analysis, and stress-testing of a model's solution. When to use: the model is solved and you need to test robustness under varying conditions — e.g. running a simulation, Monte Carlo simulation, sensitivity analysis, or a parameter sweep. Do NOT use for deterministic solving (use model-solver) or for production-grade load testing.", "desc_zh": "对已求解模型运行参数扫描、蒙特卡洛模拟、敏感性分析与压力测试，评估方案稳健性", "license": "Apache-2.0", "compatibility": "Requires numpy, random. No external solver needed.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/math/simulation-runner/SKILL.md", "packs": [ "data-ml-science" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/math/simulation-runner/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/math/simulation-runner/SKILL.md" }, { "name": "skill-author", "domain": "meta", "path": "skills/meta/skill-author", "file": "skills/meta/skill-author/SKILL.md", "desc": "Draft a new agent skill from scratch: clarify the need in one batch of five questions, name it as a searchable kebab-case action phrase, write a trigger-rich description, generate the ten-section SKILL.md skeleton, and design its scripts with argparse subcommands and a dry-run default. Use when the user asks to author a skill / create a new skill / scaffold a skill / write SKILL.md / build a skill / skill creation. Do NOT use for checking an existing skill against the spec (that is skill-linter) or for finding a skill in this repo (that is skill-finder).", "desc_zh": "从零起草新 Agent 技能：命名、写触发描述、生成 SKILL.md 十段式骨架并设计带 argparse 的脚本", "license": "Apache-2.0", "compatibility": "Pure prompt-based; optional python3 for the self-check step.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/meta/skill-author/SKILL.md", "packs": [ "skill-forge" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/skill-author/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/skill-author/SKILL.md" }, { "name": "skill-finder", "domain": "meta", "path": "skills/meta/skill-finder", "file": "skills/meta/skill-finder/SKILL.md", "desc": "Search this repository's skills by keyword, work out which scene pack a set of skills belongs to (or suggest an ad-hoc combo with ordering), and print repo-wide statistics — all read from the real manifest.json and SKILL.md files, never a hardcoded list. Use when the user asks to find a skill / search skills / which skill does X / list repo stats / skill lookup / skill discovery. Do NOT use for lint compliance (that is skill-linter) or for writing a new skill (skill-author).", "desc_zh": "按关键词检索本仓库技能、推荐场景组合并输出统计，读取真实 manifest.json 与 SKILL.md", "license": "Apache-2.0", "compatibility": "Requires python3 (stdlib only); run from the repository root.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/meta/skill-finder/SKILL.md", "packs": [ "skill-forge" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/skill-finder/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/skill-finder/SKILL.md" }, { "name": "skill-linter", "domain": "meta", "path": "skills/meta/skill-linter", "file": "skills/meta/skill-linter/SKILL.md", "desc": "Check a single SKILL.md or a whole skills directory against the awesome-skillkit spec and print a PASS/WARN/FAIL report with an explicit fix line per problem: frontmatter blocks, name/directory sync, description routing, the ten-section skeleton, line count, CJK body ratio, reference existence, and failure-table depth. Use when the user asks to lint a skill / validate skill spec / check if my skill is compliant / skill validation / skill compliance check. Do NOT use for creating a new skill (that is skill-author) or for grading documentation quality beyond spec compliance.", "desc_zh": "按 awesome-skillkit 规范校验 SKILL.md，输出 PASS/WARN/FAIL 报告与修复建议", "license": "Apache-2.0", "compatibility": "Requires python3 (stdlib only); run from the repository root.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/meta/skill-linter/SKILL.md", "packs": [ "skill-forge" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/skill-linter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/skill-linter/SKILL.md" }, { "name": "skill-tester", "domain": "programming", "path": "skills/programming/ai-engineering/skill-tester", "file": "skills/programming/ai-engineering/skill-tester/SKILL.md", "desc": "Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with letter grades and tier classification (BASIC/STANDARD/POWERFUL). Use when authoring a new skill, auditing existing skills for tier promotion, setting up pre-commit hooks for skill quality, integrating skill QA into CI, testing a skill, checking whether a skill is compliant, or grading a skill. Do NOT use for fixing the skills it audits (this skill only audits and scores).", "desc_zh": "校验、测试并评分技能质量：结构校验、Python 脚本测试、多维质量打分与分级", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "expert", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/ai-engineering/skill-tester/SKILL.md", "packs": [ "ai-agent-development" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ai-engineering/skill-tester/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ai-engineering/skill-tester/SKILL.md" }, { "name": "slo-architect", "domain": "programming", "path": "skills/programming/incident/slo-architect", "file": "skills/programming/incident/slo-architect/SKILL.md", "desc": "Use when defining, reviewing, or operating SLOs/SLIs/error budgets, setting an SLO, designing SLIs and error budgets, or choosing availability targets. Triggers on \"define an SLO\", \"what should our SLO be\", \"error budget\", \"burn rate\", \"SLI\", \"service level objective\", \"Google SRE workbook\", \"multi-window burn-rate alert\", or any reliability-target question. Ships SLO designer, error-budget calculator with multi-window burn-rate thresholds, and SLO reviewer that catches the common bugs (target too aggressive, window too short, conflicting SLOs, no SLI definition). 4 references on SLO principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. NOT a generic observability skill — specifically the SLO discipline. Do NOT use for provisioning monitoring infrastructure.", "desc_zh": "定义与评审 SLO/SLI/错误预算、设定可用性目标、计算多窗口燃烧率并配置告警", "license": "Apache-2.0", "compatibility": "Requires network access. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "architecture", "verified": "2026-09-09", "repo_file": "skills/programming/incident/slo-architect/SKILL.md", "packs": [ "incident-response" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/incident/slo-architect/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/incident/slo-architect/SKILL.md" }, { "name": "solution-drafter", "domain": "education", "path": "skills/education/solution-drafter", "file": "skills/education/solution-drafter/SKILL.md", "desc": "Draft a homework solution per assignment type from an assignment-plan: math goes analyze→set up→step-by-step→verify with no skipped steps, essays go thesis→material allocation→paragraph outline→write, reports stay outline-first, English uses sentence frames then fills content; every step shows full working and the draft self-checks against every requirement in the plan. Middle stage of the homework-autopilot chain — the draft is deliberately AI-neat and must pass through own-voice-rewrite. Use when the user asks to draft a solution / answer by type / write first draft / solve homework / draft solution. Do NOT use without an assignment-plan from assignment-intake, nor during live exams.", "desc_zh": "按作业类型起草解题：数学分步推导、作文列提纲、报告先列大纲，每步给出完整过程并自检", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime dependencies.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-16", "repo_file": "skills/education/solution-drafter/SKILL.md", "packs": [ "homework-autopilot" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/education/solution-drafter/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/education/solution-drafter/SKILL.md" }, { "name": "sound-designer", "domain": "audio", "path": "skills/audio/sound-designer", "file": "skills/audio/sound-designer/SKILL.md", "desc": "Design and mix the audio bed for a podcast or short video: select and place sound effects (SFX), choose a background music (BGM) bed matched to the content mood, set per-platform loudness targets (LUFS), plan EQ and compression for speech clarity, and design ducking curves so music automatically drops under the voice. Use when the user asks to add sound effects / mix audio / make audio louder / level audio / add background music / BGM selection / audio ducking / EQ voice / compression / loudness / LUFS / podcast mix / video sound design / ambient sound. Do NOT use for writing the spoken script (podcast-producer), voice casting or TTS synthesis parameters (tts-voice-director), publishing metadata (episode-publisher), or video clip assembly (video-editor).", "desc_zh": "为播客或短视频设计与混音：选配音效 BGM、设定 LUFS 响度、EQ 与压缩、设计音乐自动避让人声的闪避曲线", "license": "Apache-2.0", "compatibility": "Pure prompt-based; the bundled loudness_check.py needs Python 3.8+ stdlib only. No audio processing is performed by this skill — it outputs a mixing plan the user or their DAW/ffmpeg executes.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-24", "repo_file": "skills/audio/sound-designer/SKILL.md", "packs": [ "ai-video-pipeline", "audio-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/audio/sound-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/audio/sound-designer/SKILL.md" }, { "name": "spec-driven-development", "domain": "programming", "path": "skills/programming/engineering/spec-driven-development", "file": "skills/programming/engineering/spec-driven-development/SKILL.md", "desc": "Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when drafting a PRD or requirements document with objectives and scope, or when requirements are unclear, ambiguous, or only exist as a vague idea. Use when a single requirement spans several independently testable capabilities and needs decomposing into a capability map of modules before specifying.", "desc_zh": "编码前先写规格：为项目、功能或改动起草含目标与范围的 PRD，把模糊需求拆成可测的能力模块", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/spec-driven-development/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/spec-driven-development/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/spec-driven-development/SKILL.md" }, { "name": "spec-driven-workflow", "domain": "programming", "path": "skills/programming/cicd/spec-driven-workflow", "file": "skills/programming/cicd/spec-driven-workflow/SKILL.md", "desc": "Use when the user asks to write a spec before code, write specifications, define acceptance criteria, do spec-driven development, plan features before implementation, generate tests from specifications, or follow spec-first development practices. Do NOT use for free-form coding without a written spec.", "desc_zh": "先写规格再编码：撰写规格文档、定义验收标准、从规格生成测试，践行规格先行的开发流程", "license": "Apache-2.0", "compatibility": "Requires network access. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/cicd/spec-driven-workflow/SKILL.md", "packs": [ "ci-cd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cicd/spec-driven-workflow/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cicd/spec-driven-workflow/SKILL.md" }, { "name": "sprint-plan", "domain": "product", "path": "skills/product/sprint-plan", "file": "skills/product/sprint-plan/SKILL.md", "desc": "Plan a sprint with capacity estimation, story selection, dependency mapping, and risk identification. Use when preparing for sprint planning, estimating team capacity, selecting stories, or balancing sprint scope against velocity.", "desc_zh": "规划迭代冲刺：估算团队产能、挑选故事、梳理依赖关系并识别风险，平衡迭代范围与速率", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/sprint-plan/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/sprint-plan/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/sprint-plan/SKILL.md" }, { "name": "sql-best-practices", "domain": "programming", "path": "skills/programming/standards/sql-best-practices", "file": "skills/programming/standards/sql-best-practices/SKILL.md", "desc": "SQL development best practices for writing efficient, secure, and maintainable database queries", "desc_zh": "SQL 最佳实践：高效、安全、可维护的查询写法与索引使用。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/sql-best-practices/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/sql-best-practices/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/sql-best-practices/SKILL.md" }, { "name": "sql-database-assistant", "domain": "programming", "path": "skills/programming/database/sql-database-assistant", "file": "skills/programming/database/sql-database-assistant/SKILL.md", "desc": "Use when the user asks to write SQL queries, write SQL, optimize slow queries, optimize database performance, generate migrations, generate table-structure docs, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy. Do NOT use for provisioning database servers or managing replicas.", "desc_zh": "编写 SQL 查询、优化慢查询与数据库性能、生成迁移与表结构文档，适配 Prisma、TypeORM 等 ORM", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/database/sql-database-assistant/SKILL.md", "packs": [ "database" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/database/sql-database-assistant/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/database/sql-database-assistant/SKILL.md" }, { "name": "sql-optimization-patterns", "domain": "programming", "path": "skills/programming/quality/sql-optimization-patterns", "file": "skills/programming/quality/sql-optimization-patterns/SKILL.md", "desc": "Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.", "desc_zh": "精通 SQL 查询优化、索引策略与 EXPLAIN 执行计划分析，消除慢查询并提升数据库性能", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/quality/sql-optimization-patterns/SKILL.md", "packs": [ "code-quality-pro" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/quality/sql-optimization-patterns/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/quality/sql-optimization-patterns/SKILL.md" }, { "name": "stakeholder-map", "domain": "product", "path": "skills/product/stakeholder-map", "file": "skills/product/stakeholder-map/SKILL.md", "desc": "Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan. Use when managing stakeholders, preparing for a launch, aligning cross-functional teams, or planning stakeholder engagement.", "desc_zh": "用权力/利益矩阵构建干系人地图，识别各象限沟通策略并生成沟通计划", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/stakeholder-map/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/stakeholder-map/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/stakeholder-map/SKILL.md" }, { "name": "static-blog-deploy", "domain": "writing", "path": "skills/writing/blog/static-blog-deploy", "file": "skills/writing/blog/static-blog-deploy/SKILL.md", "desc": "Helps adapt and write platform-native Markdown content for static site generators (Hugo, Jekyll, Hexo). Produces posts with correct front matter, Markdown flavor, shortcodes, image shortcodes, draft status, and permalinks for self-hosted static blogs. Use when the user asks for Hugo content, Jekyll post, Hexo article, static blog post, static-blog adaptation, platform-specific content for static blog, or write a post for my Hugo/Jekyll/Hexo blog. Do NOT use for build/deploy automation, hosting CLI scripts, or other platforms.", "desc_zh": "为 Hugo、Jekyll、Hexo 生成平台化 Markdown 文章，处理 front matter 与短代码", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/blog/static-blog-deploy/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/blog/static-blog-deploy/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/blog/static-blog-deploy/SKILL.md" }, { "name": "statistical-analysis", "domain": "programming", "path": "skills/programming/science/statistical-analysis", "file": "skills/programming/science/statistical-analysis/SKILL.md", "desc": "Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.", "desc_zh": "科研数据统计分析：选择检验方法、检查假设、效应量、功效分析与 APA 格式报告，涵盖 t 检验、ANOVA、贝叶斯等", "license": "MIT", "compatibility": "需要 Python 3.11+ 与对应科学计算库；脚本本地运行，默认无网络。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/science/statistical-analysis/SKILL.md", "packs": [ "scientific-agent-skills" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/science/statistical-analysis/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/science/statistical-analysis/SKILL.md" }, { "name": "status-report", "domain": "ops", "path": "skills/ops/status-report", "file": "skills/ops/status-report/SKILL.md", "desc": "Generate a status report with KPIs, risks, and action items. Use when writing a weekly or monthly update for leadership, summarizing project health with green/yellow/red status, surfacing risks and decisions that need stakeholder attention, or turning a pile of project tracker activity into a readable narrative.", "desc_zh": "生成含 KPI、风险与行动项的状态报告，用于周报月报、项目红黄绿健康度与风险决策汇总", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/status-report/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/status-report/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/status-report/SKILL.md" }, { "name": "storyboard-designer", "domain": "video", "path": "skills/video/storyboard-designer", "file": "skills/video/storyboard-designer/SKILL.md", "desc": "Design scene-by-scene storyboards for short videos: beat sheet with timings, per-scene prompt pairs (image board + video-generation prompt), and a continuity constraint table covering character, wardrobe, props, location, and aspect ratio. Applies real film grammar (180-degree axis, 30-degree rule, eyeline match, match-on-action, establishing shot, shot-size progression) so AI-generated shots cut together. Use when the user asks for storyboard design / draw a storyboard / make a storyboard / scene breakdown / produce a shot list / break a script into storyboards before video generation. Do NOT use for generating the video or images themselves (outputs are prompt scripts — feed them to video-generation / image-generation), nor for writing dialogue (use video-script-writer).", "desc_zh": "为短视频设计逐场景故事板：节拍表、每场图像与视频提示词对、角色与场景一致性约束表", "license": "Apache-2.0", "compatibility": "Pure prompt-based design skill; the bundled scene_lint.py needs Python 3.8+ only.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-22", "repo_file": "skills/video/storyboard-designer/SKILL.md", "packs": [ "video-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/storyboard-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/storyboard-designer/SKILL.md" }, { "name": "subagent-driven-development", "domain": "programming", "path": "skills/programming/methodology/subagent-driven-development", "file": "skills/programming/methodology/subagent-driven-development/SKILL.md", "desc": "Use when executing implementation plans with independent tasks in the current session", "desc_zh": "在当前会话中，用子 Agent 并行执行包含独立任务的实现计划", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/subagent-driven-development/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/subagent-driven-development/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/subagent-driven-development/SKILL.md" }, { "name": "supabase", "domain": "programming", "path": "skills/programming/cloud/supabase", "file": "skills/programming/cloud/supabase/SKILL.md", "desc": "Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse).", "desc_zh": "处理任何 Supabase 任务：数据库、Auth、Edge Functions、Storage、RLS 与排错", "license": "MIT", "compatibility": "需要 Supabase 项目凭据或 CLI/MCP；数据库写操作需显式确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/supabase/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/supabase/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/supabase/SKILL.md" }, { "name": "supabase-postgres-best-practices", "domain": "programming", "path": "skills/programming/cloud/supabase-postgres-best-practices", "file": "skills/programming/cloud/supabase-postgres-best-practices/SKILL.md", "desc": "Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.", "desc_zh": "Postgres 最佳实践：建表改表、schema 设计、迁移、RLS 策略、索引、pgvector 与慢查询诊断", "license": "MIT", "compatibility": "需要 Supabase 项目凭据或 CLI/MCP；数据库写操作需显式确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/supabase-postgres-best-practices/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/supabase-postgres-best-practices/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/supabase-postgres-best-practices/SKILL.md" }, { "name": "swift", "domain": "programming", "path": "skills/programming/standards/swift", "file": "skills/programming/standards/swift/SKILL.md", "desc": "Expert in Swift and SwiftUI development for iOS, macOS, and Apple platforms", "desc_zh": "Swift 与 SwiftUI 规范：iOS / macOS / Apple 平台开发。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/swift/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/swift/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/swift/SKILL.md" }, { "name": "systematic-debugging", "domain": "programming", "path": "skills/programming/methodology/systematic-debugging", "file": "skills/programming/methodology/systematic-debugging/SKILL.md", "desc": "Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes", "desc_zh": "遇到任何 bug、测试失败或异常行为时，在提出修复方案前先做系统化调试排查", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/systematic-debugging/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/systematic-debugging/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/systematic-debugging/SKILL.md" }, { "name": "tactful-communication", "domain": "communication", "path": "skills/communication/tactful-communication", "file": "skills/communication/tactful-communication/SKILL.md", "desc": "Scenario-based communication coaching for Chinese high-context social and workplace settings, where generic AI output lands as blunt, stiff, or hollow. It supplies culturally specific scripts and a literal-to-intent lookup so the reply preserves face and carries real meaning. Use when the user needs tactful communication / Chinese etiquette / high-EQ phrases / decline gracefully / workplace reporting / subtext decoding / social scripts, or wants to rewrite a blunt or uncanny AI reply into something culturally appropriate. Do NOT use for formal document drafting (internal-comms-writer owns that), salary-negotiation strategy (route to a career coach), or any crisis involving grief, domestic violence, or self-harm (route to professionals immediately).", "desc_zh": "中文高语境社交与职场沟通辅导：提供得体话术脚本、字面到意图对照，把生硬措辞改写为高情商回复", "license": "Apache-2.0", "compatibility": "Pure prompt skill; no scripts or runtime deps. The references", "version": "1.0", "tier": "pilot", "pattern": "scenario-coaching", "verified": "2026-09-25", "repo_file": "skills/communication/tactful-communication/SKILL.md", "packs": [ "communication-essentials" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/communication/tactful-communication/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/communication/tactful-communication/SKILL.md" }, { "name": "task-scheduler", "domain": "tools", "path": "skills/tools/task-scheduler", "file": "skills/tools/task-scheduler/SKILL.md", "desc": "Translate cron expressions into plain language, preview next fire times, generate safe crontab lines, and map the same schedule onto Linux cron, macOS launchd, and Windows Task Scheduler. Use when the user asks to schedule a recurring job / crontab syntax / run this every day / cron expression / daily scheduled task / automation scheduling. Do NOT use for one-off delayed commands (use `at` or `sleep`), long-running daemons, or in-process job queues like Celery.", "desc_zh": "把 cron 表达式翻译成白话、预览下次执行时间、生成 crontab 并映射到各系统计划任务", "license": "Apache-2.0", "compatibility": "Python 3.8+ stdlib for description and crontab parsing. croniter is optional and only improves next-fire-time precision (pip install croniter). The helper never writes to crontab itself; it prints the line for the user to install.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-17", "repo_file": "skills/tools/task-scheduler/SKILL.md", "packs": [ "toolsmith" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/tools/task-scheduler/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/tools/task-scheduler/SKILL.md" }, { "name": "tdd", "domain": "programming", "path": "skills/programming/engineering/tdd", "file": "skills/programming/engineering/tdd/SKILL.md", "desc": "Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions \"red-green-refactor\", or wants integration tests.", "desc_zh": "测试驱动开发：以测试先行方式构建功能或修复 bug，践行红绿重构并编写集成测试", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/engineering/tdd/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/engineering/tdd/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/engineering/tdd/SKILL.md" }, { "name": "tdd-guide", "domain": "programming", "path": "skills/programming/code-quality/tdd-guide", "file": "skills/programming/code-quality/tdd-guide/SKILL.md", "desc": "Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, write tests before implementation, raise test coverage, generate mocks or stubs, run the red-green-refactor cycle, or mentions testing frameworks like Jest, pytest, or JUnit. Do NOT use for skipping the red-green-refactor cycle.", "desc_zh": "测试驱动开发指南：编写单元测试、生成 fixtures 与 mock、分析覆盖率缺口，指导红绿重构流程", "license": "Apache-2.0", "compatibility": "Pure prompt-based; the bundled scripts require Python 3.10+. May read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-09", "repo_file": "skills/programming/code-quality/tdd-guide/SKILL.md", "packs": [ "tdd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/code-quality/tdd-guide/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/code-quality/tdd-guide/SKILL.md" }, { "name": "tech-debt-tracker", "domain": "programming", "path": "skills/programming/code-quality/tech-debt-tracker", "file": "skills/programming/code-quality/tech-debt-tracker/SKILL.md", "desc": "Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation, sorting out technical debt, grading debt items, or a debt-repayment plan. Do NOT use for performing the refactors it tracks.", "desc_zh": "扫描代码库技术债、评估严重度、追踪趋势并生成优先级整改计划，支持遗留系统现代化规划", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/code-quality/tech-debt-tracker/SKILL.md", "packs": [ "code-review" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/code-quality/tech-debt-tracker/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/code-quality/tech-debt-tracker/SKILL.md" }, { "name": "terraform-patterns", "domain": "programming", "path": "skills/programming/infrastructure/terraform-patterns", "file": "skills/programming/infrastructure/terraform-patterns/SKILL.md", "desc": "Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: the user wants to write Terraform, design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, author IaC modules, or follow IaC best practices. Do NOT use for running terraform apply (pattern authoring only).", "desc_zh": "Terraform 基础设施即代码：模块设计、状态后端管理、provider 配置与 Sentinel/OPA 策略", "license": "Apache-2.0", "compatibility": "Pure prompt-based; may read project structure via Bash.", "version": "1.0", "tier": "powerful", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/programming/infrastructure/terraform-patterns/SKILL.md", "packs": [ "infrastructure" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/infrastructure/terraform-patterns/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/infrastructure/terraform-patterns/SKILL.md" }, { "name": "test-driven-development", "domain": "programming", "path": "skills/programming/methodology/test-driven-development", "file": "skills/programming/methodology/test-driven-development/SKILL.md", "desc": "Use when implementing any feature or bugfix, before writing implementation code", "desc_zh": "在编写实现代码前，用测试驱动开发方式实现任何功能或修复缺陷", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/test-driven-development/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/test-driven-development/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/test-driven-development/SKILL.md" }, { "name": "tex-cleaner", "domain": "paper", "path": "skills/paper/tex-cleaner", "file": "skills/paper/tex-cleaner/SKILL.md", "desc": "Pre-flight cleanup for arXiv/venue submission: strip comments (escape/verbatim-aware), flag packages installed-but-unused via a command->package map, list missing assets (\\\\input/\\\\bibliography/\\\\includegraphics), undefined refs, TOC leftovers, non-ASCII in TeX source. Learned from google-research/arxiv-latex-cleaner (7k stars). Use when the user asks for pre-arXiv-submission cleanup / clean up a LaTeX project / slim down tex / delete tex comments / check undefined references / latex cleanup / pre-submission packaging check / clean up a tex project / remove extra packages / check undefined refs / arxiv packaging / strip latex comments. Fails with rc=1 when the input file does not exist (or when --clean is given without --output). Do NOT use for fixing LaTeX compilation errors (use latex-formatter) or for writing paper content.", "desc_zh": "arXiv/投稿前 LaTeX 清理：删除注释、找出未用宏包、检查缺失资源与未定义引用、剔除非 ASCII 字符", "license": "Apache-2.0", "compatibility": "Stdlib only; static scan/clean on .tex files. Never modifies the input file.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/paper/tex-cleaner/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/paper/tex-cleaner/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/paper/tex-cleaner/SKILL.md" }, { "name": "ticket-triage", "domain": "customer", "path": "skills/customer/ticket-triage", "file": "skills/customer/ticket-triage/SKILL.md", "desc": "Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.", "desc_zh": "对客服工单进行分类与优先级排序：判定 P1-P4、指派处理团队，并识别重复或已知问题", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/customer/ticket-triage/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/customer/ticket-triage/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/customer/ticket-triage/SKILL.md" }, { "name": "to-spec", "domain": "product", "path": "skills/product/to-spec", "file": "skills/product/to-spec/SKILL.md", "desc": "Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.", "desc_zh": "把当前对话直接综合成规格文档并发布到项目 issue 跟踪器，无需再做访谈", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/to-spec/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/to-spec/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/to-spec/SKILL.md" }, { "name": "toutiao-publisher", "domain": "writing", "path": "skills/writing/news/toutiao-publisher", "file": "skills/writing/news/toutiao-publisher/SKILL.md", "desc": "Helps adapt and write platform-native articles for Toutiao (Toutiao), the Chinese algorithmic news and content feed. Produces Toutiao-style headlines, body copy, images, and tags optimized for the recommendation engine. Use when the user asks for Toutiao content, Toutiao article, toutiao article, toutiao adaptation, platform-specific content for toutiao, or publish to Toutiao. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为今日头条撰写平台化文章：适配推荐算法的标题、正文、配图与标签", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/news/toutiao-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/news/toutiao-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/news/toutiao-publisher/SKILL.md" }, { "name": "train-sentence-transformers", "domain": "programming", "path": "skills/programming/ml/train-sentence-transformers", "file": "skills/programming/ml/train-sentence-transformers/SKILL.md", "desc": "Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.", "desc_zh": "训练与微调 sentence-transformers 模型，涵盖双编码器、CrossEncoder 重排与稀疏检索", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/ml/train-sentence-transformers/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/train-sentence-transformers/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/train-sentence-transformers/SKILL.md" }, { "name": "transition-designer", "domain": "video", "path": "skills/video/transition-designer", "file": "skills/video/transition-designer/SKILL.md", "desc": "Design a transition plan for AI video: choose the right transition type at every scene boundary, set durations, sync to music beats, and hand off an executable transition spec to video-editor. Covers hard cuts, match cuts, dissolves, wipes, J/L-cuts, whip pans, speed ramps, glitch and more. Use when the user asks to design transitions / plan a cut / decide how scenes connect / beat-sync editing / pacing a montage / choose between cut and dissolve / fix a jarring cut. Do NOT use for executing the actual edit (that is video-editor), for motion graphics or animated text (use motion-effects-designer), or for writing the script itself (use video-script-writer).", "desc_zh": "为 AI 视频设计转场方案：选择剪切类型、设定时长、对齐音乐节拍，输出可执行转场规范", "license": "Apache-2.0", "compatibility": "Pure prompt-based design skill; no scripts required. Outputs a transition plan consumed by video-editor.", "version": "1.0", "tier": "standard", "pattern": "planning", "verified": "2026-09-24", "repo_file": "skills/video/transition-designer/SKILL.md", "packs": [ "ai-video-pipeline", "video-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/transition-designer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/transition-designer/SKILL.md" }, { "name": "triage", "domain": "product", "path": "skills/product/triage", "file": "skills/product/triage/SKILL.md", "desc": "Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.", "desc_zh": "让 issue 与外部 PR 流转于分诊状态机：分类、核实、必要时追问，并写出可交给 Agent 的简报", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/triage/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/triage/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/triage/SKILL.md" }, { "name": "triage-nda", "domain": "legal", "path": "skills/legal/triage-nda", "file": "skills/legal/triage-nda/SKILL.md", "desc": "Rapidly triage an incoming NDA and classify it as GREEN (standard approval), YELLOW (counsel review), or RED (full legal review). Use when a new NDA arrives from sales or business development, when screening for embedded non-solicits, non-competes, or missing carveouts, or when deciding whether an NDA can be signed under standard delegation.", "desc_zh": "快速分诊收到的 NDA，按绿/黄/红分级判定可否标准审批，筛查非招揽、竞业与缺失豁免条款", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/legal/triage-nda/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/legal/triage-nda/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/legal/triage-nda/SKILL.md" }, { "name": "trl-training", "domain": "programming", "path": "skills/programming/ml/trl-training", "file": "skills/programming/ml/trl-training/SKILL.md", "desc": "Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.", "desc_zh": "用 TRL 训练与微调 Transformer 模型，支持 SFT、DPO、GRPO、KTO、RLOO 与奖励模型训练", "license": "Apache-2.0", "compatibility": "需要 hf CLI 与 Hugging Face 账号。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/ml/trl-training/SKILL.md", "packs": [ "hf-ml-hub" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/ml/trl-training/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/ml/trl-training/SKILL.md" }, { "name": "tts-voice-director", "domain": "audio", "path": "skills/audio/tts-voice-director", "file": "skills/audio/tts-voice-director/SKILL.md", "desc": "Direct text-to-speech synthesis for a produced script: cast voices per character from a voice catalog (Kokoro/DIA/Qwen3-TTS families), set per-segment synthesis parameters (speed, stability), plan stitching (per-segment render + ffmpeg concat + crossfade), and voice-design via descriptive prompts on supported models. Reads the script from podcast-producer, hands rendered audio plan to episode-publisher. Use when the user asks to select voices / TTS voiceover / speech synthesis / voice casting / make the voice sound natural / multi-character voiceover / TTS / voice / audio production. Do NOT use for writing or linting the script (podcast-producer), nor for publishing metadata (episode-publisher).", "desc_zh": "为成稿剧本指导 TTS 配音：按角色选音色、设定分段语速与稳定性、规划拼接与 ffmpeg 混音", "license": "Apache-2.0", "compatibility": "Pure prompt-based; references only — no bundled synthesis binary (calls user-side TTS per catalog).", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-14", "repo_file": "skills/audio/tts-voice-director/SKILL.md", "packs": [ "audio-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/audio/tts-voice-director/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/audio/tts-voice-director/SKILL.md" }, { "name": "typescript", "domain": "programming", "path": "skills/programming/standards/typescript", "file": "skills/programming/standards/typescript/SKILL.md", "desc": "Expert in TypeScript development with best practices for type safety and clean code", "desc_zh": "TypeScript 规范：类型安全与整洁代码实践。", "license": "Apache-2.0", "compatibility": "纯提示型；随语言与框架版本演进，以上游为准。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/standards/typescript/SKILL.md", "packs": [ "language-standards" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/standards/typescript/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/standards/typescript/SKILL.md" }, { "name": "ui-ux-accessibility", "domain": "design", "path": "skills/design/ui-ux-accessibility", "file": "skills/design/ui-ux-accessibility/SKILL.md", "desc": "Audit UI designs and code against hard usability, accessibility, and interaction rules. Runs a five-pass workflow: scope, Nielsen heuristic review, WCAG 2.2 numeric audit (contrast ratios, target sizes, focus indicators, reflow, text spacing), ARIA/keyboard widget check, and a scored remediation report. Use when the user asks for UI review, accessibility audit, WCAG compliance, usability heuristic, ARIA fix, contrast check, target-size check, or pattern selection. Do NOT use for visual design generation (frontend-design-director owns that), component implementation (frontend-component-lab owns that), or backend tasks.", "desc_zh": "审计 UI 设计与代码的可用性与无障碍：Nielsen 启发式评审、WCAG 2.2 数值核对、ARIA 与键盘检查", "license": "Apache-2.0", "compatibility": "Pure prompt-based; no runtime deps.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-25", "repo_file": "skills/design/ui-ux-accessibility/SKILL.md", "packs": [ "visual-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/ui-ux-accessibility/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/ui-ux-accessibility/SKILL.md" }, { "name": "unit-economics", "domain": "finance", "path": "skills/finance/unit-economics", "file": "skills/finance/unit-economics/SKILL.md", "desc": "Establishes whether the business makes money on each customer or unit — contribution margin, acquisition cost, payback period, lifetime value, and the cohort behavior underneath. Use this to assess whether growth is profitable, evaluate a channel or segment, support a pricing decision, judge how fast the business can afford to grow, or diagnose why revenue growth is not producing profit.", "desc_zh": "单客与单位经济性：贡献毛利、获客成本、回收期、LTV 与关键杠杆测算。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/finance/unit-economics/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/finance/unit-economics/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/finance/unit-economics/SKILL.md" }, { "name": "user-personas", "domain": "product", "path": "skills/product/user-personas", "file": "skills/product/user-personas/SKILL.md", "desc": "Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.", "desc_zh": "基于调研数据提炼用户画像：3 个含 JTBD、痛点、收益与意外洞察的人物角色", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/user-personas/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/user-personas/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/user-personas/SKILL.md" }, { "name": "user-research", "domain": "design", "path": "skills/design/user-research", "file": "skills/design/user-research/SKILL.md", "desc": "Plan, conduct, and synthesize user research. Trigger with \"user research plan\", \"interview guide\", \"usability test\", \"survey design\", \"research questions\", or when the user needs help with any aspect of understanding their users through research.", "desc_zh": "规划、执行并综合用户研究：研究计划、访谈提纲、可用性测试与问卷设计", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/design/user-research/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/user-research/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/user-research/SKILL.md" }, { "name": "user-stories", "domain": "product", "path": "skills/product/user-stories", "file": "skills/product/user-stories/SKILL.md", "desc": "Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria with descriptions, design links, and acceptance criteria. Use when writing user stories, breaking down features into backlog items, or defining acceptance criteria.", "desc_zh": "编写用户故事：遵循 3C 与 INVEST 标准，含描述、设计链接与验收标准", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/product/user-stories/SKILL.md", "packs": [ "product-management" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/product/user-stories/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/product/user-stories/SKILL.md" }, { "name": "using-git-worktrees", "domain": "programming", "path": "skills/programming/methodology/using-git-worktrees", "file": "skills/programming/methodology/using-git-worktrees/SKILL.md", "desc": "Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback", "desc_zh": "开展需要隔离的功能开发或执行实现计划前，用 git worktree 或原生工具创建隔离工作区", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/using-git-worktrees/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/using-git-worktrees/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/using-git-worktrees/SKILL.md" }, { "name": "ux-copy", "domain": "design", "path": "skills/design/ux-copy", "file": "skills/design/ux-copy/SKILL.md", "desc": "Write or review UX copy — microcopy, error messages, empty states, CTAs. Trigger with \"write copy for\", \"what should this button say?\", \"review this error message\", or when naming a CTA, wording a confirmation dialog, filling an empty state, or writing onboarding text.", "desc_zh": "撰写或审校 UX 文案：微文案、错误提示、空状态与 CTA 按钮文字", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/design/ux-copy/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/design/ux-copy/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/design/ux-copy/SKILL.md" }, { "name": "v2ex-publisher", "domain": "writing", "path": "skills/writing/community/v2ex-publisher", "file": "skills/writing/community/v2ex-publisher/SKILL.md", "desc": "Helps adapt and write platform-native posts for V2EX, the Chinese hacker / developer community forum organized by nodes. Produces V2EX-style discussion threads with a concise title, plain-text body, node targeting, and no inline images. Use when the user asks for V2EX content, v2ex post, v2ex thread, v2ex adaptation, platform-specific content for v2ex, or publish to V2EX. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为 V2EX 撰写平台化帖子：简洁标题、纯文本正文、按节点发布且不含内嵌图片", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/community/v2ex-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/community/v2ex-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/community/v2ex-publisher/SKILL.md" }, { "name": "variance-analysis", "domain": "finance", "path": "skills/finance/variance-analysis", "file": "skills/finance/variance-analysis/SKILL.md", "desc": "Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.", "desc_zh": "拆解财务差异到驱动因素：预算与实际对比、同比环比、收入与费用差异及瀑布分析", "license": "Apache-2.0", "compatibility": "任意兼容 Agent Skills 的工具可用；部分技能假设已连接企业系统（CRM/HRIS/文档库），未连接时按文内提示降级。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/finance/variance-analysis/SKILL.md", "packs": [ "knowledge-work" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/finance/variance-analysis/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/finance/variance-analysis/SKILL.md" }, { "name": "vendor-management", "domain": "ops", "path": "skills/ops/vendor-management", "file": "skills/ops/vendor-management/SKILL.md", "desc": "Selects, contracts, and manages suppliers and vendors — requirements, evaluation, negotiation support, onboarding, performance management, and exit. Use this to choose a vendor, run a selection process, structure a service agreement's operational terms, manage an underperforming supplier, plan an exit or migration, or assess concentration and continuity risk.", "desc_zh": "供应商全周期管理：需求、评估、合同、上线、绩效管理与退出。", "license": "MIT", "compatibility": "纯提示型；涉及财务、合规或法律判断时建议人工复核。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/ops/vendor-management/SKILL.md", "packs": [ "company-playbooks" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/ops/vendor-management/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/ops/vendor-management/SKILL.md" }, { "name": "verification-before-completion", "domain": "programming", "path": "skills/programming/methodology/verification-before-completion", "file": "skills/programming/methodology/verification-before-completion/SKILL.md", "desc": "Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always", "desc_zh": "在宣称完成、修复或通过、提交或建 PR 之前，先运行验证命令并用证据确认结果", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/verification-before-completion/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/verification-before-completion/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/verification-before-completion/SKILL.md" }, { "name": "video-editor", "domain": "video", "path": "skills/video/video-editor", "file": "skills/video/video-editor/SKILL.md", "desc": "Assemble video clips with transitions, mix audio tracks, add effects, and produce final video. Supports FFmpeg-based real editing and mock mode. Use after lip-sync clips are ready, before subtitle/thumbnail steps. Use when the user asks to edit a video / stitch clips / assemble a final cut / add background music / composite video / add transitions / audio mix / cut video / stitch clips. Do NOT use for generating footage from text (use video-generation).", "desc_zh": "用 FFmpeg 剪辑合成视频：拼接片段、加转场与特效、混音并输出成片", "license": "Apache-2.0", "compatibility": "Requires FFmpeg for real editing; mock mode works without. No API keys required.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/video/video-editor/SKILL.md", "packs": [ "ai-video-pipeline" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-editor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-editor/SKILL.md" }, { "name": "video-generation", "domain": "video", "path": "skills/video/video-generation", "file": "skills/video/video-generation/SKILL.md", "desc": "Generate short videos from text prompts or reference images through a local generation gateway (text-to-video and image-to-video with polling and download). Use when the user asks to generate a video / make a short video / text-to-video / image-to-video / make a video from this text / animate this image / generate a promo video, or wants AI-generated footage. Do NOT use for video editing, subtitle burning, screen recording, or downloading existing videos from the web.", "desc_zh": "通过本地生成网关，用文本提示或参考图生成短视频，即文生视频与图生视频", "license": "Apache-2.0", "compatibility": "Requires curl and network access to the generation gateway endpoint.", "version": "1.1", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/video/video-generation/SKILL.md", "packs": [ "ai-media-toolkit" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-generation/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-generation/SKILL.md" }, { "name": "video-lip-sync", "domain": "video", "path": "skills/video/video-lip-sync", "file": "skills/video/video-lip-sync/SKILL.md", "desc": "Synchronize character mouth movements with TTS audio. Takes a face image + audio file, generates lip-synced video. Gateway-based with mock fallback. Use when the user asks for lip sync / mouth-sync / digital human talking / make a photo talk / talking head video / make the avatar talk. Do NOT use for voice synthesis (see video-voice-synth), subtitle generation (see video-subtitles), or generic video editing.", "desc_zh": "让角色口型与 TTS 音频同步：输入人脸图片与音频，生成对口型数字人说话视频", "license": "Apache-2.0", "compatibility": "Requires local lip-sync gateway at 127.0.0.1:30081 or mock mode. No API keys required.", "version": "1.1", "tier": "standard", "pattern": "single-task", "verified": "2026-09-24", "repo_file": "skills/video/video-lip-sync/SKILL.md", "packs": [ "ai-video-pipeline" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-lip-sync/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-lip-sync/SKILL.md" }, { "name": "video-script-writer", "domain": "video", "path": "skills/video/video-script-writer", "file": "skills/video/video-script-writer/SKILL.md", "desc": "Write video scripts: dialogue, narration, shot descriptions, timing markers, and platform-compliant titles/captions. Supports multiple video types (talking character, meme, tutorial, vlog, short). Includes a golden-3-second hook discipline, single-CTA rule, and speaking-rate word budgeting. Use when the user needs a script for a video before production, e.g. writing a video script / short-video copy / storyboard script / voice-over script. Do NOT use for generating video files (script text only), nor for scene-by-scene storyboards and prompt pairs (use storyboard-designer).", "desc_zh": "撰写视频脚本：台词、旁白、分镜描述、时间标记与合规标题，含黄金三秒钩子与字数预算", "license": "Apache-2.0", "compatibility": "Prompt-based with an optional helper script. scripts/script_writer.py (Python 3.8+, stdlib only) generates a deterministic scene skeleton and — if SKILLKIT_LLM_URL/KEY env vars are set — calls an OpenAI-compatible gateway to write real dialogue. Without the gateway it emits template placeholder lines and labels them honestly (dialogue_source=template). No API keys required.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-22", "repo_file": "skills/video/video-script-writer/SKILL.md", "packs": [ "ai-video-pipeline" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-script-writer/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-script-writer/SKILL.md" }, { "name": "video-shotcraft", "domain": "video", "path": "skills/video/video-shotcraft", "file": "skills/video/video-shotcraft/SKILL.md", "desc": "Create cinematic product videos from shot recipe cards, a validated template, and code/audio assets (Remotion + real page screenshots + 2.5D camera moves + beat-synced cuts + sound design). Use when the user asks to turn a frontend project or webpage into a product video, says \"use video-shotcraft to make a video/promo\", names the Ink Press template or asks to reproduce its effect, or wants a single shot card's motion. 用镜头配方卡 + 已验收模板 + 代码/音频资产制作电影感产品视频（Remotion + 真实页面截图 + 2.5D 运镜 + 节奏卡点 + 声音设计）。当用户要求\"用 video-shotcraft 做视频/宣传片\"、把前端项目/网页做成产品视频、点名 Ink Press 模板或要求复刻模板片效果，或要用镜头卡做单个动效镜头时使用。", "desc_zh": "用镜头配方卡 + 校验过的模板 + 代码/音频资产制作电影感产品视频（Remotion、真机截图、2.5D 运镜、卡点剪辑与声音设计）。", "license": "Apache-2.0", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/video/video-shotcraft/SKILL.md", "packs": [ "creator-boosters" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-shotcraft/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-shotcraft/SKILL.md" }, { "name": "video-subtitles", "domain": "video", "path": "skills/video/video-subtitles", "file": "skills/video/video-subtitles/SKILL.md", "desc": "Generate SRT subtitles and platform-optimized captions from a video script. Supports multi-language, timing sync, and per-platform caption formats. Use when the user asks to add subtitles / generate subtitles / make a subtitle file / short-video subtitles / burn in subtitles / generate captions / add captions / make an SRT. Do NOT use for burning subtitles into video (see video-editor), translating audio (use a transcription tool), or styling thumbnails.", "desc_zh": "从视频脚本生成 SRT 字幕与平台优化文案，支持多语言与时间轴同步", "license": "Apache-2.0", "compatibility": "Pure Python, no external dependencies. No API keys required.", "version": "1.0", "tier": "basic", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/video/video-subtitles/SKILL.md", "packs": [ "ai-video-pipeline" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-subtitles/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-subtitles/SKILL.md" }, { "name": "video-thumbnail", "domain": "video", "path": "skills/video/video-thumbnail", "file": "skills/video/video-thumbnail/SKILL.md", "desc": "Design and generate video thumbnails/covers per platform spec (douyin/bilibili/tiktok/youtube), via ffmpeg frame extraction or the image-generation gateway (scripts/thumbnail.py; --mock only for downstream wiring). Use when the user asks to make a video cover / design a cover image / thumbnail / cover art / video thumbnail / design a cover / YouTube cover image, as the final step before publishing. Do NOT use for generating the video itself, or for in-video subtitles.", "desc_zh": "按抖音/哔哩哔哩/TikTok/YouTube 规范设计并生成视频封面缩略图，可抽帧或走图像生成网关", "license": "Apache-2.0", "compatibility": "Route A (gateway) needs the image-generation gateway; Route B (frame extract) needs ffmpeg. No API keys required (gateway auth optional via GATEWAY_API_KEY env).", "version": "1.1", "tier": "basic", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/video/video-thumbnail/SKILL.md", "packs": [ "ai-video-pipeline" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-thumbnail/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-thumbnail/SKILL.md" }, { "name": "video-voice-synth", "domain": "video", "path": "skills/video/video-voice-synth", "file": "skills/video/video-voice-synth/SKILL.md", "desc": "Text-to-speech for video production via scripts/voice_synth.py: single-line and batch synthesis against a local TTS gateway, per-scene WAV files with the scene_{id}.wav naming contract, six built-in voices (baby/adult/mascot/narrator), --mock silent placeholders for downstream wiring. Use when the script is ready and audio is needed before lip-sync, or when the user asks to voice-over / synthesize speech / text-to-speech / TTS / give the video a voice / text to speech / generate voiceover / synthesize narration. Do NOT use for cloning a real person's voice without documented consent.", "desc_zh": "视频制作配音：对本地 TTS 网关做单条与批量文生语音，按场景输出 WAV，提供多种内置音色", "license": "Apache-2.0", "compatibility": "Requires the local TTS gateway (default 127.0.0.1:30081) or --mock mode; the script itself needs Python 3.8+ only. No API keys required (gateway auth optional via GATEWAY_API_KEY env).", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-09", "repo_file": "skills/video/video-voice-synth/SKILL.md", "packs": [ "ai-video-pipeline" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/video-voice-synth/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/video-voice-synth/SKILL.md" }, { "name": "visual-style-anchor", "domain": "video", "path": "skills/video/visual-style-anchor", "file": "skills/video/visual-style-anchor/SKILL.md", "desc": "Create a reusable visual style anchor for a video or image project: one-page style guide locking color palette, lighting scheme, materials, era, and medium texture — plus a character consistency card (identity line, wardrobe, props, forbidden changes) that keeps every generated shot on-model. Use when the user asks to set the visual style / style setting / character setting / keep the character consistent / keep the face on-model / style guide / character sheet / visual consistency before batch generation. Do NOT use for writing per-shot prompts (use shot-designer), nor for generating the images themselves.", "desc_zh": "为视频或图像项目建立可复用的视觉风格锚点：色彩、光影、材质与角色一致性卡片", "license": "Apache-2.0", "compatibility": "Pure prompt-based design skill; no scripts, no API keys.", "version": "2.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-21", "repo_file": "skills/video/visual-style-anchor/SKILL.md", "packs": [ "image-studio", "video-design-studio" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/video/visual-style-anchor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/video/visual-style-anchor/SKILL.md" }, { "name": "web-data-extractor", "domain": "programming", "path": "skills/programming/web-data-extractor", "file": "skills/programming/web-data-extractor/SKILL.md", "desc": "Extract structured data from websites with a polite, dry-run-first requests + BeautifulSoup scraper: CSS-selector field mapping, automatic pagination, CSV/JSON output, and built-in rate limiting. Use when the user asks to web scraping / data extraction / crawl a website / extract a table / scrape a listing / paginate results / pull prices off a page. Do NOT use for JavaScript-heavy SPAs (needs a real browser), bypassing login walls, CAPTCHA solving, or large-scale distributed crawling.", "desc_zh": "用 requests 与 BeautifulSoup 抓取网页数据：CSS 选择器、自动翻页、导出 CSV/JSON", "license": "Apache-2.0", "compatibility": "Python 3.8+; requires requests and beautifulsoup4 (pip install requests beautifulsoup4). CSV/JSON output uses stdlib. Needs network access to the target site; respects a configurable delay between pages.", "version": "1.0", "tier": "", "pattern": "", "verified": "2026-09-25", "repo_file": "skills/programming/web-data-extractor/SKILL.md", "packs": [ "web-ops" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/web-data-extractor/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/web-data-extractor/SKILL.md" }, { "name": "web-search", "domain": "programming", "path": "skills/programming/planning/web-search", "file": "skills/programming/planning/web-search/SKILL.md", "desc": "Free web search via SearXNG (primary) and DuckDuckGo (fallback) with no API keys required. Auto-fallback, 24h cache, deep search mode. Use when the agent needs to find information from the web without paid API keys, search the web, look up references, or find information online. Do NOT use for multi-source synthesis reports (use deep-research).", "desc_zh": "免 API Key 的免费联网搜索：以 SearXNG 为主、DuckDuckGo 兜底，支持自动降级与结果缓存", "license": "Apache-2.0", "compatibility": "Requires network access. No API keys required.", "version": "1.0", "tier": "powerful", "pattern": "web-search", "verified": "2026-09-09", "repo_file": "skills/programming/planning/web-search/SKILL.md", "packs": [ "ai-research-writing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/planning/web-search/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/planning/web-search/SKILL.md" }, { "name": "webapp-e2e-harness", "domain": "programming", "path": "skills/programming/testing/webapp-e2e-harness", "file": "skills/programming/testing/webapp-e2e-harness/SKILL.md", "desc": "Scaffold a runnable Playwright end-to-end test suite for a local web app, with the discipline that keeps tests from rotting: semantic-first selectors, login-state reuse via storage_state, and anti-scrape/anti-429 etiquette. Use when the user asks for e2e testing, end-to-end testing, Playwright tests, webapp automation, how to fix selector drift, or login-state reuse. Do NOT use for unit tests (use tdd-guide) or for pure API testing (use api-test-suite-builder).", "desc_zh": "为本地 Web 应用搭建可运行的 Playwright 端到端测试套件，复用登录态并防止选择器漂移", "license": "Apache-2.0", "compatibility": "Produces a Python test scaffold; running tests requires the user's `pip install pytest playwright` + `playwright install chromium` (the script itself is offline and does not download binaries).", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/programming/testing/webapp-e2e-harness/SKILL.md", "packs": [ "tdd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/testing/webapp-e2e-harness/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/testing/webapp-e2e-harness/SKILL.md" }, { "name": "webapp-flow-tester", "domain": "programming", "path": "skills/programming/testing/webapp-flow-tester", "file": "skills/programming/testing/webapp-flow-tester/SKILL.md", "desc": "Drive end-to-end flow tests against a locally running web application with Playwright — discover interactive elements from the rendered page first, then navigate, interact, assert, and screenshot, with console-error collection and a server-lifecycle wrapper so crashing tests never leave orphan processes. Use when the user asks for web testing, e2e testing, automated testing, to walk through an order/checkout flow, to verify page functionality, web app testing, e2e test, playwright test, test user flow, or verify page works. Do NOT use for production traffic, load/stress testing, or testing sites you are not authorized to automate.", "desc_zh": "用 Playwright 驱动本地 Web 应用端到端流程测试：发现元素、操作断言并截图，收集控制台错误", "license": "Apache-2.0", "compatibility": "Requires Python 3.8+ with playwright (pip install playwright && playwright install chromium); scripts/with_server.py is stdlib-only.", "version": "1.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-16", "repo_file": "skills/programming/testing/webapp-flow-tester/SKILL.md", "packs": [ "tdd" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/testing/webapp-flow-tester/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/testing/webapp-flow-tester/SKILL.md" }, { "name": "wechat-mp-publisher", "domain": "writing", "path": "skills/writing/wechat/wechat-mp-publisher", "file": "skills/writing/wechat/wechat-mp-publisher/SKILL.md", "desc": "Helps adapt and write platform-native articles for WeChat Official Accounts (WeChat Official Account). Produces WeChat-MP-style rich-text articles with the right title length, cover image ratio, inline images, no external links, and a mobile-first reading flow. Use when the user asks for WeChat MP content, official account article, official account article, wechat adaptation, platform-specific content for wechat, or publish to WeChat Official Account. Do NOT use for WeChat API automation, draft scripts, or posting to other platforms.", "desc_zh": "为微信公众号撰写平台化富文本文章：控制标题长度、封面比例、内嵌图片且不含外链", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/wechat/wechat-mp-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/wechat/wechat-mp-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/wechat/wechat-mp-publisher/SKILL.md" }, { "name": "weekly-report-generator", "domain": "meta", "path": "skills/meta/weekly-report-generator", "file": "skills/meta/weekly-report-generator/SKILL.md", "desc": "Auto-draft a weekly report from `git log` + `git diff --stat` over a look-back window, structured into the three paragraphs every company expects (done / blockers / next week), then let the human fill in the qualitative bits. Use when the user asks for a weekly report / daily report / weekly report template / auto-write weekly report / status update / sprint summary. Do NOT use for monthly business reviews (different scope) or for performance/HR narratives (this is a work-log, not a performance doc).", "desc_zh": "依据 git log 与 diff 自动草拟周报，按已完成/阻塞/下周三段式结构生成，再由人补充", "license": "Apache-2.0", "compatibility": "Pure local git operations; no network, no remote; default dry-run; needs python3 + git.", "version": "1.0", "tier": "standard", "pattern": "script", "verified": "2026-09-20", "repo_file": "skills/meta/weekly-report-generator/SKILL.md", "packs": [ "skill-forge" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/meta/weekly-report-generator/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/meta/weekly-report-generator/SKILL.md" }, { "name": "weibo-publisher", "domain": "writing", "path": "skills/writing/social/weibo-publisher", "file": "skills/writing/social/weibo-publisher/SKILL.md", "desc": "Helps adapt and write platform-native short posts for Weibo (Weibo), the Chinese microblog and public-square platform. Produces Weibo-style posts with punchy copy, hashtags, @mentions, image plans, and thread-style long-post formatting. Use when the user asks for Weibo content, Weibo copy, weibo post, weibo adaptation, platform-specific content for weibo, or publish to Weibo. Do NOT use for cookie-based posting automation or other platforms.", "desc_zh": "为微博撰写平台化短帖：精炼文案、话题标签、@ 提及、配图方案与长微博排版", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/social/weibo-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/social/weibo-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/social/weibo-publisher/SKILL.md" }, { "name": "workers-best-practices", "domain": "programming", "path": "skills/programming/cloud/workers-best-practices", "file": "skills/programming/cloud/workers-best-practices/SKILL.md", "desc": "Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.", "desc_zh": "Cloudflare Workers 生产级最佳实践，指导编写、评审与配置 Workers 应用", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 Wrangler；部署等写操作需显式确认。", "version": "1.0.0", "tier": "powerful", "pattern": "workflow", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/workers-best-practices/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/workers-best-practices/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/workers-best-practices/SKILL.md" }, { "name": "wrangler", "domain": "programming", "path": "skills/programming/cloud/wrangler", "file": "skills/programming/cloud/wrangler/SKILL.md", "desc": "Run or troubleshoot Wrangler CLI commands and configure Worker projects for local development, Previews, deployment, and Cloudflare resource management.", "desc_zh": "运行与排查 Wrangler CLI，配置 Worker 项目的本地开发、预览、部署与 Cloudflare 资源管理", "license": "Apache-2.0", "compatibility": "需要 Node.js 与 Wrangler；部署等写操作需显式确认。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/cloud/wrangler/SKILL.md", "packs": [ "cloud-platforms" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/cloud/wrangler/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/cloud/wrangler/SKILL.md" }, { "name": "writing-plans", "domain": "programming", "path": "skills/programming/methodology/writing-plans", "file": "skills/programming/methodology/writing-plans/SKILL.md", "desc": "Use when you have a spec or requirements for a multi-step task, before touching code", "desc_zh": "在拿到规格或多步任务需求后、动手写代码前，先撰写分步实现计划", "license": "MIT", "compatibility": "纯提示型，任意支持 SKILL.md 的工具可用；无外部依赖。", "version": "1.0.0", "tier": "standard", "pattern": "single-task", "verified": "2026-09-27", "repo_file": "skills/programming/methodology/writing-plans/SKILL.md", "packs": [ "engineering-playbook" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/programming/methodology/writing-plans/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/programming/methodology/writing-plans/SKILL.md" }, { "name": "xiaohongshu-publisher", "domain": "writing", "path": "skills/writing/social/xiaohongshu-publisher", "file": "skills/writing/social/xiaohongshu-publisher/SKILL.md", "desc": "Helps adapt and write platform-native notes for Xiaohongshu (Xiaohongshu / RedNote), the image-first Chinese lifestyle and product-discovery community. Produces Xiaohongshu-style notes with a short punchy title, emoji-rich body under the 1000-character limit, hashtags, and image/carousel guidance. Use when the user asks for Xiaohongshu content, Xiaohongshu note, RedNote note, xiaohongshu adaptation, platform-specific content for xiaohongshu, or publish to Xiaohongshu. Do NOT use for cookie-based posting automation, image editing, or other platforms.", "desc_zh": "为小红书撰写平台化笔记：简短抓人标题、千字内 emoji 正文、话题标签与图文轮播建议", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/social/xiaohongshu-publisher/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/social/xiaohongshu-publisher/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/social/xiaohongshu-publisher/SKILL.md" }, { "name": "zhihu-content-manager", "domain": "writing", "path": "skills/writing/zhihu/zhihu-content-manager", "file": "skills/writing/zhihu/zhihu-content-manager/SKILL.md", "desc": "Helps adapt and write platform-native long-form articles and answers for Zhihu (Zhihu). Produces Zhihu-style columns (zhuanlan), detailed answers, topic tags, cover images, and the HTML/Markdown structure the Zhihu editor accepts. Use when the user asks for Zhihu content, a Zhihu article, a Zhihu answer, zhihu column post, zhihu adaptation, platform-specific content for zhihu, publish to Zhihu, or SEO content for the Zhihu knowledge community. Do NOT use for automation, cookies, browser scripts, or posting to other platforms.", "desc_zh": "为知乎撰写平台化长文与回答：专栏文章、详细回答、话题标签、封面图与编辑器可用结构", "license": "Apache-2.0", "compatibility": "", "version": "2.0", "tier": "", "pattern": "", "verified": "2026-09-24", "repo_file": "skills/writing/zhihu/zhihu-content-manager/SKILL.md", "packs": [ "content-publishing" ], "raw_github": "https://raw.githubusercontent.com/X33834/awesome-skillkit/main/skills/writing/zhihu/zhihu-content-manager/SKILL.md", "raw_gitcode": "https://gitcode.com/badhope/awesome-skillkit/raw/main/skills/writing/zhihu/zhihu-content-manager/SKILL.md" } ], "packs": [ { "id": "ai-agent-development", "name": "AI Agent Development", "name_zh": "AI Agent 开发", "desc": "Build production-grade AI agents, design multi-agent workflows, MCP servers, feature flags, and self-evaluation.", "desc_zh": "构建生产级 AI Agent、设计多 Agent 工作流、MCP 服务、功能开关与自评。", "size_kb": 165, "sha256": "1002dff718a460e130c74667cc1d67f1970ba86cbe313845cef9d1f7b02c30b9", "n_skills": 5, "skills": [ "agent-designer", "mcp-server-builder", "feature-flags-architect", "self-eval", "skill-tester" ], "local_url": "packs/ai-agent-development.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/ai-agent-development.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/ai-agent-development.zip", "dist_exists": true }, { "id": "ai-media-toolkit", "name": "AI Media Toolkit", "name_zh": "AI 媒体生成工具箱", "desc": "Generate videos, images, covers, and music from prompts through a local generation gateway.", "desc_zh": "通过本地生成网关用提示词生成视频、图片、封面与配乐：文生/图生全流程（提交、轮询、下载交付）。", "size_kb": 23, "sha256": "de27cb9a81ebae030518c93f2d1bace5770d03721dfab740b1b9829cdfce9afb", "n_skills": 3, "skills": [ "video-generation", "image-generation", "music-generation" ], "local_url": "packs/ai-media-toolkit.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/ai-media-toolkit.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/ai-media-toolkit.zip", "dist_exists": true }, { "id": "ai-research-writing", "name": "AI Research & Writing", "name_zh": "AI 研究与写作", "desc": "Research a topic and turn it into a structured article: multi-round search, outline, draft, edit, SEO.", "desc_zh": "从选题调研到成稿发布的长文生产链路：多轮检索与报告综合、大纲搭建、初稿撰写、风格润色、关键词与平台规则优化，以及学术选题的研究空白识别与投稿匹配。", "size_kb": 198, "sha256": "bc151b3fc2aadb0eab3fbda867fe815a7b99b5d04df9ca13909064ce46674b0e", "n_skills": 18, "skills": [ "deep-research", "web-search", "paper-topic-selector", "article-outliner", "article-drafter", "content-editor", "seo-optimizer", "lit-review", "experiment-runner", "arch-diagram", "neural-net-draw", "latex-formatter", "self-reviewer", "journal-adapt", "anti-defensive", "ai-humanizer", "tex-cleaner", "pub-plotter" ], "local_url": "packs/ai-research-writing.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/ai-research-writing.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/ai-research-writing.zip", "dist_exists": true }, { "id": "ai-video-pipeline", "name": "AI Video Pipeline", "name_zh": "AI 短视频生产流水线", "desc": "End-to-end short-video production: script, voice, lip-sync, assembly, subtitles, thumbnail.", "desc_zh": "从脚本到成片的一条龙短视频生产线：脚本撰写、配音合成、口型对齐、剪辑合成、字幕、封面图。六个技能按序衔接，输出可直接发布的竖屏视频。", "size_kb": 112, "sha256": "1bf01fe69c27d9b25b9f9c798870a321dd4547cb9e11fad7db6adf14d0845e51", "n_skills": 9, "skills": [ "video-script-writer", "video-voice-synth", "video-lip-sync", "video-editor", "video-subtitles", "video-thumbnail", "transition-designer", "motion-effects-designer", "sound-designer" ], "local_url": "packs/ai-video-pipeline.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/ai-video-pipeline.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/ai-video-pipeline.zip", "dist_exists": true }, { "id": "api-development", "name": "API Development & Testing", "name_zh": "API 开发与测试", "desc": "Review REST API designs and generate integration/contract test suites.", "desc_zh": "审查 REST API 设计并生成集成/契约测试套件。", "size_kb": 49, "sha256": "b8c32c2180478960c06f702c602f97ed733baaf6015678f8d64a24faa0be97ea", "n_skills": 2, "skills": [ "api-design-reviewer", "api-test-suite-builder" ], "local_url": "packs/api-development.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/api-development.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/api-development.zip", "dist_exists": true }, { "id": "architecture", "name": "System Architecture", "name_zh": "系统架构设计", "desc": "Design system architecture, plan zero-downtime migrations, and navigate monorepos.", "desc_zh": "设计系统架构、规划零停机迁移、驾驭 monorepo。", "size_kb": 113, "sha256": "c76277bd00b621b548743661ddffe152fa43f922f94790b15094fa232a666bbe", "n_skills": 3, "skills": [ "senior-architect", "migration-architect", "monorepo-navigator" ], "local_url": "packs/architecture.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/architecture.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/architecture.zip", "dist_exists": true }, { "id": "audio-studio", "name": "Audio Studio", "name_zh": "音频工作室", "desc": "AI audio production chain: turn a topic or document into a segmented podcast script (spoken words only - TTS reads everything), direct voice synthesis with a voice catalog and per-character casting, and publish with shownotes, timestamped chapters, and platform metadata. Topic in, publishable episode out, no step left dangling.", "desc_zh": "AI 音频生产链条：把选题或文档变成分段播客脚本（纯口播词——TTS 会把一切都读出来），按声音目录做角色选声与合成参数执导，并以 shownotes、时间戳章节、平台元数据收尾发布。选题进、可发布节目出，链条不断头。方法论借鉴 Kokoro/Qwen3-TTS 生态与 Podify/inference.sh 实践并已署名。", "size_kb": 26, "sha256": "ded98a820efb454ad162c0193e4e2ad632ea8483a7e742dd714588cac6fa648d", "n_skills": 4, "skills": [ "podcast-producer", "tts-voice-director", "episode-publisher", "sound-designer" ], "local_url": "packs/audio-studio.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/audio-studio.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/audio-studio.zip", "dist_exists": true }, { "id": "caveman-toolkit", "name": "Caveman Toolkit", "name_zh": "Caveman 省 token 工具包", "desc": "", "desc_zh": "", "size_kb": 49, "sha256": "c06844cfeb3ce24af348c0f3af8c86e1fba872322a51bbfcecdf3d0393e9c2dc", "n_skills": 7, "skills": [ "caveman", "caveman-commit", "caveman-review", "caveman-help", "caveman-stats", "caveman-compress", "cavecrew" ], "local_url": "packs/caveman-toolkit.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/caveman-toolkit.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/caveman-toolkit.zip", "dist_exists": true }, { "id": "chat-prompt-craft", "name": "Chat Prompt Craft", "name_zh": "聊天提示词工艺", "desc": "Prompt engineering for conversational AI assistants (Doubao, ChatGPT, Kimi, DeepSeek, etc.): one-shot task prompts built on the five-element formula (role + background + task + requirements + format), agent/persona system prompts on the five-section skeleton, reverse constraints that kill filler, and heuristic structural 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"1721ad8f190e4ad1340a35ac102e81fc803d8a00baa4e66ecba2c8d1f249b6fc", "n_skills": 3, "skills": [ "ci-cd-pipeline-builder", "ship-gate", "spec-driven-workflow" ], "local_url": "packs/ci-cd.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/ci-cd.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/ci-cd.zip", "dist_exists": true }, { "id": "cloud-platforms", "name": "Cloud Platforms", "name_zh": "云平台工具箱", "desc": "", "desc_zh": "", "size_kb": 655, "sha256": "4a55c7f187094521fcbbeb0777e816937be2b6bc8654195584d6725b0413c85a", "n_skills": 12, "skills": [ "azure-compute", "azure-ai", "azure-deploy", "azure-messaging", "azure-storage", "workers-best-practices", "cloudflare", "wrangler", "supabase", "supabase-postgres-best-practices", "firebase-basics", "firebase-security-rules-auditor" ], "local_url": "packs/cloud-platforms.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/cloud-platforms.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/cloud-platforms.zip", "dist_exists": true }, { "id": "cmo-suite", "name": "CMO & C-Suite Suite", "name_zh": "CMO 与高管套件", "desc": "", "desc_zh": "", "size_kb": 322, "sha256": "fb5cfd3f65766069a853e005961c6e9fa26f53e251236cc4a4276687c2de403d", "n_skills": 12, "skills": [ "landing", "linkedin-analytics", "linkedin-content", "linkedin-engagement", "linkedin-profile", "linkedin-strategy", "ceo-advisor", "cfo-advisor", "cmo-advisor", "cto-advisor", "chro-advisor", "ciso-advisor" ], "local_url": "packs/cmo-suite.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/cmo-suite.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/cmo-suite.zip", "dist_exists": true }, { "id": "code-planning", "name": "Code Planning & Generation", "name_zh": "代码规划与生成", "desc": "Turn vague requests into structured plans, then into working code; diagnose and fix failures.", "desc_zh": "把模糊需求变成可执行代码：三层瀑布式意图识别、结构化实施计划、两档代码生成（模板引擎 + LLM）、运行时故障诊断与调试清单。", "size_kb": 66, "sha256": "fc71fe83d175d2609f792c449b7edfec6cc4082142afe822c83f98f0b925efc7", "n_skills": 3, "skills": [ "code-intent-planner", "code-generator", "debug-diagnoser" ], "local_url": "packs/code-planning.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/code-planning.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/code-planning.zip", 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Review", "name_zh": "代码审查", "desc": "Review pull requests, analyze code quality, audit dependencies and tech debt across languages.", "desc_zh": "审查 PR、分析代码质量、审计依赖与技术债，覆盖多语言。", "size_kb": 250, "sha256": "291d83372d4a73024461c74f5086f84dc7f612d2f3b2a78d087a1a6d512e11a0", "n_skills": 4, "skills": [ "code-reviewer", "api-design-reviewer", "tech-debt-tracker", "dependency-auditor" ], "local_url": "packs/code-review.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/code-review.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/code-review.zip", "dist_exists": true }, { "id": "communication-essentials", "name": "Communication Essentials", "name_zh": "沟通必备", "desc": "Tactful Chinese social and workplace communication scripts, etiquette, and subtext decoding.", "desc_zh": "得体的中文社交与职场沟通话术、礼仪与潜台词解读。", "size_kb": 35, 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"dependency-and-risk-management", "estimating-and-contingency", "unit-economics", "pricing-and-packaging" ], "local_url": "packs/company-playbooks.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/company-playbooks.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/company-playbooks.zip", "dist_exists": true }, { "id": "containers", "name": "Containers & Orchestration", "name_zh": "容器与编排", "desc": "Dockerfile optimization, docker-compose, Helm charts, and Kubernetes operators.", "desc_zh": "Dockerfile 优化、docker-compose、Helm Chart 与 Kubernetes Operator。", "size_kb": 75, "sha256": "3eb93b5042b09c486fa228452e5bdfdc2db321fbc906e3698ed0563edcad3d15", "n_skills": 3, "skills": [ "docker-development", "helm-chart-builder", "kubernetes-operator" ], "local_url": "packs/containers.zip", "release_github": 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"analyzing-email-headers-for-phishing-investigation", "analyzing-kubernetes-audit-logs", "analyzing-azure-activity-logs-for-threats", "analyzing-sbom-for-supply-chain-vulnerabilities", "analyzing-threat-actor-ttps-with-mitre-attack", "detecting-dcsync-attack-in-active-directory", "hunting-for-lateral-movement-via-wmi" ], "local_url": "packs/cybersecurity-pro.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/cybersecurity-pro.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/cybersecurity-pro.zip", "dist_exists": true }, { "id": "data-ml-science", "name": "Data, ML & Scientific Computing", "name_zh": "数据科学与科学计算", "desc": "Data pipelines, feature engineering, mathematical modeling, simulation, and ML training workflows.", "desc_zh": "数据与建模的完整工具箱：ETL 清洗变换、特征工程、数学建模与求解器选型、蒙特卡洛仿真、结果可视化、ML 训练流水线与超参调优、指标体系解读。", 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"pdf-pipeline", "epub-builder", "docx-template-fill", "career-ops-lite" ], "local_url": "packs/office-productivity.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/office-productivity.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/office-productivity.zip", "dist_exists": true }, { "id": "performance", "name": "Performance Profiling", "name_zh": "性能优化", "desc": "Profile CPU/memory/I/O bottlenecks in Node.js, Python, and Go.", "desc_zh": "剖析 Node.js、Python、Go 的 CPU/内存/IO 瓶颈。", "size_kb": 13, "sha256": "631f30de14ab206a5ffb478f665a093aee14c6641f54d01fdf9aabf974a27ae5", "n_skills": 1, "skills": [ "performance-profiler" ], "local_url": "packs/performance.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/performance.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/performance.zip", "dist_exists": true }, { "id": "product-management", "name": "Product Management", "name_zh": "产品管理", "desc": "", "desc_zh": "", "size_kb": 39, "sha256": "95b0a560a3b7b8437cb726f23803d569934e6712a63254bf869cdb770c7e28b0", "n_skills": 14, "skills": [ "create-prd", "outcome-roadmap", "prioritization-frameworks", "user-stories", "job-stories", "stakeholder-map", "pre-mortem", "sprint-plan", "north-star-metric", "competitive-battlecard", "market-sizing", "user-personas", "to-spec", "triage" ], "local_url": "packs/product-management.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/product-management.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/product-management.zip", "dist_exists": true }, { "id": "scientific-agent-skills", "name": "Scientific Computing", "name_zh": "科研计算（精选）", "desc": "", "desc_zh": "", "size_kb": 660, "sha256": "9d9ba9a384a322f0ae2366f9683518b8d2fc2d728d259c00be779af958fce2f2", "n_skills": 12, "skills": [ "exploratory-data-analysis", "experimental-design", "hypothesis-generation", "literature-review", "citation-management", "peer-review", "polars", "networkx", "matplotlib", "statistical-analysis", "optimize-for-gpu", "get-available-resources" ], "local_url": "packs/scientific-agent-skills.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/scientific-agent-skills.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/scientific-agent-skills.zip", "dist_exists": true }, { "id": "security", "name": "Security & Secrets", "name_zh": "安全与密钥管理", "desc": "Set up secret vaults and manage environment-variable hygiene, plus two self-scanners: a PII redactor (dry-run first) and a prompt-injection auditor.", "desc_zh": "搭建密钥库并管理环境变量卫生，附两个自扫描器：PII 脱敏（默认 dry-run）与提示词注入审计。", "size_kb": 67, "sha256": "2c0bef08c042719c136a7da667079366f1a486a2bc0e89eac855707f2acb70e7", "n_skills": 4, "skills": [ "secrets-vault-manager", "env-secrets-manager", "pii-redactor", "prompt-injection-guard" ], "local_url": "packs/security.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/security.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/security.zip", "dist_exists": true }, { "id": "skill-forge", "name": "Skill Forge", "name_zh": "技能锻造厂", "desc": "Meta skills about skills themselves: author a new SKILL.md from a one-batch clarification, lint an existing one against the repo spec with an exit code CI can gate on, and search/pack/stats this repo from real data. Idea in, compliant shipped skill out.", "desc_zh": "关于技能本身的元技能三件套：一次性问齐需求后生成合规 SKILL.md（skill-author）、八项静态检查并返回可做 CI 门禁的退出码（skill-linter）、基于真实数据检索技能与装配组合（skill-finder）。想法进、可提交的技能出。", "size_kb": 52, "sha256": "efa447e05c8b3d53eb1fb22d27f4e8e25672af60be3c025ace96753a26cb5e8d", "n_skills": 5, "skills": [ "skill-author", "skill-linter", "skill-finder", "session-handoff", "weekly-report-generator" ], "local_url": "packs/skill-forge.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/skill-forge.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/skill-forge.zip", "dist_exists": true }, { "id": "tdd", "name": "Test-Driven Development", "name_zh": "测试驱动开发", "desc": "Write unit tests, fixtures, mocks, and guide red-green-refactor cycles.", "desc_zh": "编写单元测试、fixture、mock，并引导红绿重构循环。", "size_kb": 80, "sha256": "6e6c1028f9dd22d93a2df8c8f4d1eae98d57103e07b297e1f646785778370a2c", "n_skills": 4, "skills": [ "tdd-guide", "webapp-flow-tester", "webapp-e2e-harness", "agent-eval-harness" ], "local_url": "packs/tdd.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/tdd.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/tdd.zip", "dist_exists": true }, { "id": "toolsmith", "name": "Toolsmith", "name_zh": "工具与自动化", "desc": "Local file and automation chores done safely: reorganize a messy directory with a dry-run planner, batch-rename files with one-command rollback, convert documents/images/media, schedule recurring jobs across cron/launchd/Task Scheduler, organize invoices/receipts into a month/category tree, and reconcile a bank statement against your expense ledger.", "desc_zh": "本地文件与自动化的六件顺手工具：目录体检与整理（含快速判重）、批量重命名（EXIF 日期 + 日志回滚）、文档/图片/音视频格式转换统一入口、定时任务（cron 表达式翻译 + 三平台落地）、发票/报销按月份类别归档 + 台账、银行流水 vs 记账账单逐笔对账。全部默认 dry-run、只读优先、不删文件。", "size_kb": 63, "sha256": "ef084e3d8dbfbef50f854e8a41cd9591d23fe65e369bd304c009f9dec79696e9", "n_skills": 6, "skills": [ "file-organizer", "batch-renamer", "format-converter", "task-scheduler", "invoice-organizer", "bank-statement-reconcile" ], "local_url": "packs/toolsmith.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/toolsmith.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/toolsmith.zip", "dist_exists": true }, { "id": "video-code", "name": "Code-Driven Video (HyperFrames)", "name_zh": "代码化视频（HyperFrames）", "desc": "", "desc_zh": "", "size_kb": 1128, "sha256": "27344a691d643df08f700b5ad86f34bedfd7989f2e0d27ac84ce52d12a648a82", "n_skills": 5, "skills": [ "hyperframes", "hyperframes-cli", "hyperframes-animation", "hyperframes-audio", "hyperframes-keyframes" ], "local_url": "packs/video-code.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/video-code.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/video-code.zip", "dist_exists": true }, { "id": "video-design-studio", "name": "Video Design Studio", "name_zh": "视频设计工作室", "desc": "Pre-production design layer for AI video: storyboards with continuity contracts, cinematic shot lists from recipe cards, cross-model text-to-video prompt engineering with structural audit, and reusable visual style anchors with character consistency cards.", "desc_zh": "AI 视频的前期设计层：分镜设计（节拍表 + 逐场景 prompt 对 + 连续性约束表，附机器校验）、12 卡镜头清单设计、跨模型文生视频提示词工程（六槽位结构 + 机器审计）、视觉风格锚与角色一致性卡。方法论借鉴 video-storyboard / video-shotcraft / visual-skills 等开源项目并已署名。", "size_kb": 50, "sha256": "d6d8adc8d97073405f27accbe7ec0dbd030c18cdbf68065059d3ba5178af5395", "n_skills": 5, "skills": [ "storyboard-designer", "shot-designer", "visual-style-anchor", "transition-designer", "motion-effects-designer" ], "local_url": "packs/video-design-studio.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/video-design-studio.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/video-design-studio.zip", "dist_exists": true }, { "id": "viral-entertainment", "name": "Viral Entertainment", "name_zh": "爆款娱乐场景", "desc": "Special entertainment scenarios: talking-character viral shorts.", "desc_zh": "特别娱乐场景：AI 宝宝播客等会说话角色的病毒式短视频完整流水线（含合规标识与角色一致性纪律）。", "size_kb": 10, "sha256": "df06bc36d2c68681b4d0c3100d77554386e474b4d7f644bc82e3627c4eff290e", "n_skills": 2, "skills": [ "ai-baby-podcast", "nailong-laugh-shorts" ], "local_url": "packs/viral-entertainment.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/viral-entertainment.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/viral-entertainment.zip", "dist_exists": true }, { "id": "visual-design-studio", "name": "Visual Design Studio", "name_zh": "视觉设计工作室", "desc": "AI visual design chain: interpret a vague brief into a design spec (purpose, platform size, style anchor), engineer text-to-image prompts with model dialects and text-rendering rules, and audit output against platform layout specs (safe areas, ratios, text budgets). One brief flows through spec -> prompt -> audit without leaving the chain.", "desc_zh": "AI 视觉设计链条：把模糊需求翻译成设计规格单（用途/平台尺寸/风格锚），按模型方言与文字渲染规则写文生图 prompt，并按平台版面规格（比例/安全区/文字预算）审计产出。一条需求从规格到 prompt 到审计全程不出链。方法论借鉴 Anthropic canvas-design / designskills / Replicate prompting 指南并已署名。", "size_kb": 89, "sha256": "4bda0ac2b24cd314dd112bb5487302904d522a4d28fcd2a6d87af83e8986c9c2", "n_skills": 7, "skills": [ "design-brief-interpreter", "image-prompt-engineer", "layout-spec-auditor", "frontend-design-director", "frontend-component-lab", "ui-ux-accessibility", "design-system-foundations" ], "local_url": "packs/visual-design-studio.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/visual-design-studio.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/visual-design-studio.zip", "dist_exists": true }, { "id": "web-ops", "name": "Web Operations", "name_zh": "网页操作", "desc": "Polite, dry-run-first extraction of structured data from static websites: CSS-selector field mapping, pagination, rate limiting, and CSV/JSON output.", "desc_zh": "礼貌、先预览的静态网页结构化数据提取：CSS 选择器字段映射、自动翻页、速率限制、CSV/JSON 输出。", "size_kb": 8, "sha256": "89f7001996cd4046bc12b4ca57e655c5026c67c77bef50d9bd88bd9bb4a86336", "n_skills": 1, "skills": [ "web-data-extractor" ], "local_url": "packs/web-ops.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/web-ops.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/web-ops.zip", "dist_exists": true }, { "id": "wechat-longform", "name": "WeChat Longform Studio", "name_zh": "微信长文工作室", "desc": "", "desc_zh": "", "size_kb": 482, "sha256": "61b44e4ae05cc9299b3923f4d8423c22434f658796f23d6ef711b847f56d8136", "n_skills": 10, "skills": [ "baoyu-post-to-wechat", "baoyu-format-markdown", "baoyu-markdown-to-html", "baoyu-cover-image", "baoyu-article-illustrator", "baoyu-infographic", "baoyu-wechat-summary", "baoyu-translate", "baoyu-xhs-images", "baoyu-slide-deck" ], "local_url": "packs/wechat-longform.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/wechat-longform.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/wechat-longform.zip", "dist_exists": true }, { "id": "workspace-integrations", "name": "Workspace Integrations", "name_zh": "外部集成工具箱", "desc": "Connect an AI session to the tools a team already lives in: Notion pages and databases, Feishu / DingTalk / WeCom group robots, Jira / Linear / GitHub Issues, and Baidu / Aliyun / OneDrive cloud drives. Every write path is dry-run by default, credentials live only in environment variables, and the bundled scripts build and parse payloads offline so they can be tested without a network.", "desc_zh": "把 AI 会话接到团队真正在用的工具上：Notion 页面与数据库、飞书/钉钉/企业微信群机器人、Jira/Linear/GitHub Issues 协同与周报、百度网盘/阿里云盘/OneDrive 归档校验。四条链路共享同一套操作契约——写操作默认 dry-run 先出负载、凭证只走环境变量、脚本离线构造与解析（不发网络请求），未接凭证即可完整演练。", "size_kb": 59, "sha256": "c979f755aea3d4b498188e1d8d0f74ee8ccbd046f86b5b7734cde926eed0cf72", "n_skills": 4, "skills": [ "notion-workspace", "feishu-dingtalk-bridge", "issue-tracker-sync", "cloud-drive-manager" ], "local_url": "packs/workspace-integrations.zip", "release_github": "https://github.com/X33834/awesome-skillkit/releases/download/v0.23.1/workspace-integrations.zip", "release_gitcode": "https://gitcode.com/badhope/awesome-skillkit/releases/tag/v0.23.1", "release_gitee": "https://gitee.com/badhope/awesome-skillkit/releases/download/v0.23.1/workspace-integrations.zip", "dist_exists": true } ] }