Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
9,461 skills from 277 repositories · updated 2 minutes ago
580 skills
- story-decompositiona5c-ai/babysitterBreak technical specifications into small, implementable stories with dependency orderingPlanningNo warnings★ 1.9K↓ —
- architecture-patternsa5c-ai/babysitterSystem and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.PlanningNo warnings★ 1.9K↓ —
- sprint-planninga5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationPlanningNo warnings★ 1.9K↓ —
- quality-checklista5c-ai/babysitterValidate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.PlanningNo warnings★ 1.9K↓ —
- plan-implementationa5c-ai/babysitterDisciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.PlanningNo warnings★ 1.9K↓ —
- plan-review-gatea5c-ai/babysitterAdversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.PlanningNo warnings★ 1.9K↓ —
- openapia5c-ai/babysitterOpenAPI/Swagger specification, code generation, documentation, and validation.PlanningNo warnings★ 1.9K↓ —
- brainstorminga5c-ai/babysitterUse when starting any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.PlanningNo warnings★ 1.9K↓ —
- nestjsa5c-ai/babysitterNestJS architecture including modules, dependency injection, guards, interceptors, and microservices patterns.PlanningNo warnings★ 1.9K↓ —
- spec-executiona5c-ai/babysitter6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.PlanningNo warnings★ 1.9K↓ —
- prd-creationa5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationPlanningNo warnings★ 1.9K↓ —
- divergebrycewang-stanford/Auto-Empirical-Research-SkillsBefore implementing, generate 3-5 conceptually distinct approaches labeled by creativity dimension (Novel, Surprising, Diverse, Conventional), then hold for selection. Brainstorm-then-select to resist defaulting to the most obvious solution.PlanningNo warnings★ 4.7K↓ —
- aer-introductionbrycewang-stanford/Auto-Empirical-Research-SkillsUse when drafting or rewriting the introduction of an economics manuscript targeted at AER, AER:Insights, or an AEJ, or when compressing an abstract to the mandatory 100-word limit. Implements the Keith Head / Bellemare five-paragraph formula and AER-specific formatting conventions. Apply after the body sections exist.PlanningNo warnings★ 4.7K↓ —
- e2brycewang-stanford/Auto-Empirical-Research-SkillsAgent E2 - Qualitative Coding Specialist - Systematic coding and theme development. Covers codebook development, coding strategies, saturation assessment, and CAQDAS guidance.PlanningNo warnings★ 4.7K↓ —
- route-to-openapizebbern/claude-code-guideGenerates RESTful API documentation (OpenAPI 3.0 / Swagger spec) by scanning route definitions in code for Flask, FastAPI, Express, Gin, and other frameworks. Trigger when users ask about API documentation, OpenAPI, Swagger, endpoint docs, generating docs from code, or extracting endpoints.PlanningNo warnings★ 4.7K↓ —
- a2brycewang-stanford/Auto-Empirical-Research-SkillsVS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 (Conceptual Framework Visualizer) capabilities Use when: building theoretical foundations, designing conceptual models, deriving hypotheses, critiquing frameworks, visualizing models Triggers: theoretical framework, 이론적 프레임워크, conceptual model, 개념적 모형, hypothesis derivation, critique, devil's advocate, 반론, visualization, diagramPlanningNo warnings★ 4.7K↓ —
- project-sizing-guidezebbern/claude-code-guideSoftware project effort estimation assistant. Outputs three-point estimates (optimistic/most-likely/pessimistic values with confidence intervals), T-shirt sizes, or Function Point Analysis (FPA) counts. Triggered when users ask 'how long will this feature take,' need to assess project workload, perform PERT estimation, T-shirt sizing, FPA, sprint planning, or quote-based effort breakdowns.PlanningNo warnings★ 4.7K↓ —
- mermaid-diagramwanshuiyin/Auto-claude-code-research-in-sleepGenerate Mermaid diagrams from user requirements. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.PlanningReview first★ 17.8K↓ —
- do-agentbrycewang-stanford/Auto-Empirical-Research-SkillsThis skill should be used when the user asks to "/do-agent", asks for "Execute complex tasks using multi-agent architecture with context protection", or needs the workflow previously provided by the /do-agent slash command.PlanningNo warnings★ 4.7K↓ —
- e3brycewang-stanford/Auto-Empirical-Research-SkillsAgent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference. Covers joint display creation, integration strategies, and legitimation techniques.PlanningNo warnings★ 4.7K↓ —
- jira-driven-planningbreaking-brake/cc-wf-studioJiraチケットの要件とConfluenceの関連ドキュメントを基に、Frontend/Backend/Infrastructureに分割した実装計画を策定するプランニングスキル。Jiraチケット情報とConfluence検索結果が前段で取得済みであることを前提とし、構造化された実装計画を出力する。「プランニング」「実装計画策定」「タスク分割」などの文脈で使用。PlanningNo warnings★ 5.4K↓ —
- skill-creatorcomposio-community/awesome-codex-skillsGuide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.PlanningNo warnings★ 17K↓ —
- execute-planbrycewang-stanford/Auto-Empirical-Research-SkillsUse when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the paper. Orchestrates task execution with replication-driven verification and two-stage review at phase boundaries.PlanningNo warnings★ 4.7K↓ —
- matchmsforyourhealth111-pixel/Vibe-SkillsSpectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.PlanningNo warnings★ 3.7K↓ —