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.
9,277 skills from 267 repositories · updated 14 minutes ago
560 skills
- Hunter AutomationComposioHQ/awesome-claude-skillsAutomate Hunter.io email intelligence -- search domains for email addresses, find specific contacts, verify email deliverability, manage leads, and monitor account usage -- using natural language through the Composio MCP integration.PlanningNo warnings★ 77.6K↓ —Also in 1 other repo
- specification-generationa5c-ai/babysitterConvert requirements into structured technical specifications with architecture decisionsPlanningNo warnings★ 1.9K↓ —
- finishing-worka5c-ai/babysitterFinal completion discipline including summary generation, plan document updates, and confirmation that all success criteria from the original plan are satisfied.PlanningNo warnings★ 1.9K↓ —
- gsd-toolsa5c-ai/babysitterCentral utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).PlanningNo warnings★ 1.9K↓ —
- anti-drifta5c-ai/babysitterHierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.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↓ —
- brainstorminga5c-ai/babysitterClarify vague requirements through exploratory questioning and option generation before committing to research or implementation.PlanningNo warnings★ 1.9K↓ —
- roadmap-managementa5c-ai/babysitterRoadmap parsing, analysis, and mutation operations for ROADMAP.md. Handles phase and milestone lifecycle including add, insert (decimal), remove, complete, and requirements coverage analysis.PlanningNo warnings★ 1.9K↓ —
- verification-suitea5c-ai/babysitterPlan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.PlanningNo warnings★ 1.9K↓ —
- planning-patternsa5c-ai/babysitterStructured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.PlanningNo warnings★ 1.9K↓ —
- spec-creationa5c-ai/babysitterFeature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.PlanningNo warnings★ 1.9K↓ —
- self-optimizationa5c-ai/babysitterSONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.PlanningNo warnings★ 1.9K↓ —
- goapa5c-ai/babysitterGoal-Oriented Action Planning skill for world state and action costs.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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- ablation-plannerbrycewang-stanford/Auto-Empirical-Research-SkillsUse when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.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↓ —
- brainstormbrycewang-stanford/Auto-Empirical-Research-SkillsUse when starting a new research project, exploring a research idea, deciding whether a question is viable, or before touching code or data for a new paper. Runs a research-focused brainstorm that clarifies research question, identification strategy, data feasibility, and contribution before any implementation.PlanningNo warnings★ 4.7K↓ —
- experiment-planbrycewang-stanford/Auto-Empirical-Research-SkillsTurn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.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↓ —
- 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↓ —
- 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↓ —