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 37 minutes ago
638 skills
- user-story-mappingdeanpeters/Product-Manager-SkillsCreate a user story map that lays out activities, steps, tasks, and release slices. Use when planning a workflow, backlog, or MVP around the user journey.PlanningNo warnings★ 7.6K↓ —
- voice-of-customer-minerdeanpeters/Product-Manager-SkillsMine public reviews, app stores, and forums for unmet needs, competitor weaknesses, and switching triggers — with quoted evidence. Use when you want customer voice without waiting on interviews.PlanningNo warnings★ 7.6K↓ —
- discovery-interview-prepdeanpeters/Product-Manager-SkillsPlan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.PlanningNo warnings★ 7.6K↓ —
- eol-stakeholder-sequencedeanpeters/Product-Manager-SkillsPlan who to talk to about a sunset, in what order, and what each conversation must cover. Use when an EOL decision is made and you want the landmines found before the announcement.PlanningNo warnings★ 7.6K↓ —
- product-strategy-sessiondeanpeters/Product-Manager-SkillsRun an end-to-end product strategy session across positioning, discovery, and roadmap planning. Use when a team needs validated direction before committing to execution.PlanningNo warnings★ 7.6K↓ —
- vp-cpo-readiness-advisordeanpeters/Product-Manager-SkillsGuide the transition to VP or CPO across preparing, interviewing, landing, and recalibrating. Use when executive product scope is changing fast.PlanningNo warnings★ 7.6K↓ —
- stakeholder-identificationdeanpeters/Product-Manager-SkillsMap every stakeholder before engaging anyone. Use when launching an initiative, scoping discovery, or building an engagement plan from scratch.PlanningNo warnings★ 7.6K↓ —
- executive-onboarding-playbookdeanpeters/Product-Manager-SkillsPlan a VP or CPO 30-60-90 day diagnostic onboarding path. Use when entering a new executive product role and avoiding premature change.PlanningNo warnings★ 7.6K↓ —
- product-sense-interview-answerdeanpeters/Product-Manager-SkillsStructure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs. Use when practicing design, improve, or build-next interview questions.PlanningNo warnings★ 7.6K↓ —
- stakeholder-engagement-advisordeanpeters/Product-Manager-SkillsPlan engagement for a specific stakeholder. Use when preparing an outreach, navigating resistance, or aligning a critical relationship before a key milestone.PlanningNo warnings★ 7.6K↓ —
- reflyrefly-ai/reflyBase skill for Refly ecosystem: creates, discovers, and runs domain-specific skills bound to workflows. Routes user intent to matching domain skills via symlinks, delegates execution to Refly backend. Use when user asks to: create skills, run workflows, automate multi-step tasks, or manage pipelines. Triggers: refly, skill, workflow, run skill, create skill, automation, pipeline. Requires: @refly/cli installed and authenticated.PlanningNo warnings★ 7.5K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
aer-introduction
brycewang-stanford/Auto-Empirical-Research-Skills
PlanningUpdated 2 days ago
From the author
Use 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.
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-introduction -a claude-code
Installs to .claude/skills/aer-introduction/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: Custom or unclear
Safety checks on SKILL.md
No warnings.
Why 85
Security100
Provenance84
Maintenance100
Licence45
Adoption58
Files (3)
- SKILL.md
- agents/openai.yaml
- references/intro-template.md