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.
49,455 skills from 2,407 repositories · updated 9 minutes ago
49,453 skills
- using-git-worktreesGanyuanRan/AegisUse when a coding task needs a concurrent checkout, unrelated dirty state blocks safe branch switching, or the user or repository explicitly requires a worktree.EngineeringNo warnings★ 1.4K↓ —
- stock-analysisalirezarezvani/claude-skillsAnalyze, research or value a listed stock or company (US, global, NSE or BSE) with verified data, ratios, scores and valuation. Use whenever asked if a stock is a buy, what it is worth, or how a company looks.FinanceNo warnings★ 29.3K↓ —
- improve-search-visibility-page-and-foundation-checkgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: audits site indexing, crawling, technical and page issues at the requested scope, or checks pages behind lost visibility questions. Run improve-search-visibility instead; not for direct use.BrowserNo warnings★ 1.3K↓ —
- oncall-runbookmohitagw15856/pm-claude-skillsWrite an on-call runbook for a service — covering alert definitions, escalation paths, common incident responses, and on-call handoff procedures. Use when asked to write an on-call guide, create alert runbooks, document escalation procedures, or prepare an on-call handoff document. Produces a structured on-call runbook with per-alert response procedures, escalation matrix, diagnostic commands, and handoff template.WritingNo warnings★ 1.5K↓ —
- cicd-playbookmohitagw15856/pm-claude-skillsWrite a CI/CD pipeline playbook for a service or team. Use when asked to document a CI/CD pipeline, write a deployment process, define release gates, document build and test stages, or create a deployment guide. Produces a structured playbook covering pipeline stages, environment definitions, deployment gates, rollback procedures, and on-call responsibilities.TestingNo warnings★ 1.5K↓ —
- run-organic-social-platform-researchgooseworks-ai/goose-skillsResearches how one social platform works right now from dated sources (what gets reach, formats rising and fading, how small accounts get seen, recent changes) and finds what is getting watched in a given niche there, with linked examples and engagement read against each author's baseline. Use alone when you already have the platform and niche; otherwise run run-organic-social.ScienceNo warnings★ 1.3K↓ —
- nopua-zhwuji-labs/nopuaThe anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.ProductivityNo warnings★ 1.4K↓ —
- nopua-litewuji-labs/nopuaNoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.ProductivityNo warnings★ 1.4K↓ —
- vercel-react-best-practicesCloudAI-X/claude-workflow-v2React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.EngineeringNo warnings★ 1.4K↓ —
- parallel-executionCloudAI-X/claude-workflow-v2Patterns for parallel subagent execution using the Agent tool (formerly Task). Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.ProductivityNo warnings★ 1.4K↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestingNo warnings★ 1.1K↓ —
- 00-arena-routeragentscope-ai/OpenJudgeUse when the user wants to compare or benchmark multiple LLMs/agents arena-style but it's unclear which specific workflow fits — a general-purpose win-rate comparison on a custom task, or a benchmark specifically about reference/citation hallucination rate. Also use when the user mentions model arena, agent arena, pairwise model comparison, win-rate ranking, or comparing models on a task and hasn't specified whether that task is generic or about citation accuracy. This skill is the entry router for the arena-eval suite: it asks one diagnostic question when needed, then recommends the workflow or workflows needed to cover the request.PlanningNo warnings★ 1.1K↓ —
- git-workflowjezweb/claude-skillsGuided git workflows: prepare PRs, clean up branches, resolve merge conflicts, handle monorepo tags, squash-and-merge patterns. Use when asked to prepare a PR, clean branches, resolve conflicts, or tag a release.EngineeringNo warnings★ 1.1K↓ —
- content-factoryhuytieu/COG-second-brainAutonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishingOtherNo warnings★ 1.3K↓ —
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivityNo warnings★ 1.3K↓ —
- credit-memomohitagw15856/pm-claude-skillsWrite a credit memo for a lending decision: borrower story, facility structure, repayment sources, financial-ratio spread with covenant headroom, risk factors with mitigants, risk-rating rationale, and a recommendation. Use when asked to write a credit memo, credit application, credit paper, loan write-up, or prepare a deal for credit committee. Produces a complete credit memo ready for committee review.ScienceNo warnings★ 1.5K↓ —
- token-dietmohitagw15856/pm-claude-skillsCut LLM output tokens 40–70% by stripping grammatical scaffolding while preserving every fact — telegraphic output modes, when they pay (pipelines, long sessions) and when they don't (single shots, human-facing prose), with the mode lines to switch on demand. Use when asked make the model respond tersely, cut output token costs, caveman mode, or compress agent-to-agent messages. Produces the diet-mode instruction block ready to paste, the three compression levels with examples, the economics of when each pays, and the never-diet list.WritingNo warnings★ 1.5K↓ —
- agent-specmohitagw15856/pm-claude-skillsSpecify an autonomous or tool-using AI agent before building it. Use when asked to design an AI agent, define an agent's tools and guardrails, scope what an agent is allowed to do, or write an agent spec/PRD. Produces an agent spec — goal & scope, tools with permissions, the control loop, guardrails & approval gates, memory, escalation/handoff, evaluation, and failure handling.PlanningNo warnings★ 1.5K↓ —
- dns-lookupmohitagw15856/pm-claude-skillsQuery DNS records and domain registration data with zero API keys — DNS-over-HTTPS via dns.google and domain registration via RDAP, through plain curl. Use when asked what does this domain resolve to, check the MX or TXT records, who registered this domain, when does it expire, or has DNS propagated. Produces the records decoded (SPF/DKIM/DMARC read, not just dumped), the registration facts from RDAP, and the rerunnable commands.EngineeringNo warnings★ 1.5K↓ —
- litreviewalirezarezvani/claude-skillsUse when starting a literature review or a literature-based project. Plans the search (PICO, SPIDER) with framework_recommender.py, searches PubMed and OpenAlex with free_search.py and writes a .docx orientation guide. Single-paper lookups: query directly.DocumentsNo warnings★ 29.3K↓ —
- run-without-youalirezarezvani/claude-skillsUse when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates cron with cron_validator.py and builds the deployment with deployment_builder.py.DevOpsNo warnings★ 29.3K↓ —
- nanoresearch-experimentOpenRaiser/NanoResearchGenerate a Python code skeleton from an experiment blueprintEngineeringNo warnings★ 1.3K↓ —
- portfolio-pagemohitagw15856/pm-claude-skillsStructure a portfolio or case-study page that shows your work, not just lists it. Use when asked to write a portfolio page, a project case study, a work showcase, or an 'is this person good?' proof page. Produces a portfolio structure — a positioning header, and per-project case studies (context → your role → what you did → outcome) that demonstrate impact, ready to export as a designed page/PDF.DocumentsNo warnings★ 1.5K↓ —
- research-competitorsgooseworks-ai/goose-skillsCompetitor research: what every main rival is running, launching, charging and saying now, what works for them, and what that means for you. Use when the marketer asks for competitor research or a teardown, "what ads are my competitors running", "how do they price", "find gaps and angles", "what changed this week" (a weekly watch), or "X just launched / shut down / cut prices" (react now). Also builds a sales battlecard, checks a competitor page's tools/pixels, or studies who engages with their LinkedIn posts. Delivers a readable report saved to the brand, so the next run reports what changed. Never copies their words or disparages them. Not for what people say about you or your market — use research-market; not for who your buyers are — use research-audience.ScienceNo warnings★ 1.3K↓ —
popl-experiments
brycewang-stanford/Awesome-Journal-Skills
ScienceUpdated Sep 27, 2026
From the author
Use when designing the empirical component of a POPL paper — deciding whether evidence should be a mechanization, a prototype, case studies, or benchmarks; reporting proof effort and case-study coverage honestly; and keeping performance numbers in a supporting role so the formal claim stays the paper's center of gravity.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-experiments -a claude-code
Installs to .claude/skills/popl-experiments/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
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