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 14 minutes ago
637 skills
- self-optimizationa5c-ai/babysitterSONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.PlanningNo warnings★ 1.9K↓ —
- Ashby AutomationComposioHQ/awesome-claude-skillsAutomate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.PlanningNo warnings★ 77.6K↓ —Also in 1 other repo
- Jotform AutomationComposioHQ/awesome-claude-skillsAutomate Jotform form listing, user management, activity history, folder organization, and plan inspection through natural language commandsPlanningNo warnings★ 77.6K↓ —Also in 1 other repo
- domain-name-brainstormerComposioHQ/awesome-claude-skillsGenerates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.PlanningNo warnings★ 77.6K↓ —Also in 3 other repos
- director-readiness-advisordeanpeters/Product-Manager-SkillsGuide the PM-to-Director transition across preparing, interviewing, landing, and recalibrating. Use when leadership scope is changing and you need practical coaching.PlanningNo warnings★ 7.6K↓ —
- eol-processdeanpeters/Product-Manager-SkillsRun a product sunset end to end — decide, align, plan, prepare, announce, close. Use when you need the whole EOL process, not just one artifact.PlanningNo warnings★ 7.6K↓ —
- eol-checklistdeanpeters/Product-Manager-SkillsBuild a phase-gated EOL checklist sized to the sunset, with a named owner on every item. Use when the decision to retire is made and you need the operational plan.PlanningNo warnings★ 7.6K↓ —
- epic-hypothesisdeanpeters/Product-Manager-SkillsFrame an epic as a testable hypothesis with target user, expected outcome, and validation method. Use when defining a major initiative before roadmap, discovery, or delivery planning.PlanningNo warnings★ 7.6K↓ —
- prd-developmentdeanpeters/Product-Manager-SkillsBuild a structured PRD that connects problem, users, solution, and success criteria. Use when turning discovery notes into an engineering-ready document for a major initiative.PlanningNo warnings★ 7.6K↓ —
- roadmap-planningdeanpeters/Product-Manager-SkillsPlan a strategic roadmap across prioritization, epic definition, stakeholder alignment, and sequencing. Use when turning strategy into a release plan that teams can execute.PlanningNo warnings★ 7.6K↓ —
- discovery-processdeanpeters/Product-Manager-SkillsRun a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.PlanningNo warnings★ 7.6K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- stata-inspectbrycewang-stanford/Auto-Empirical-Research-SkillsDescribe and summarize the current dataset in memory. Optionally inspect a specific variable with codebook.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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —