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.
49,421 skills from 2,375 repositories · updated 45 minutes ago
48,346 skills
- 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★ 1K↓ —
- briefing-notemohitagw15856/pm-claude-skillsWrite a one-page briefing note that gets a busy principal up to speed fast. Use when asked to brief a minister/executive/official, prepare a briefing note or read-ahead, or summarize an issue for a decision or meeting. Produces a tight, single-page note: purpose, background, key facts/considerations, and a recommendation or the decision sought — scannable in two minutes.ProductivityNo warnings★ 1.5K↓ —
- ceo-advisoralirezarezvani/claude-skillsUse for CEO-level questions: company strategy, board and investor management, fundraising, org design or culture. Models scenarios with financial_scenario_analyzer.py and strategy with strategy_analyzer.py.DesignNo warnings★ 29.2K↓ —
- contract-reviewmohitagw15856/pm-claude-skillsReview and summarise any contract or legal agreement. Use when asked to review a contract, check an agreement, flag legal risks, or summarise key clauses. Produces a structured review with key terms, flagged clauses, risk rating, and plain English summary. Not a substitute for qualified legal advice.LegalNo warnings★ 1.5K↓ —
- agentlas-packagingagentlas-ai/Agentlas-OSUse when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local install, Agentlas import, Codex plugin use, Claude adapter use, or open-source release.PlanningNo warnings★ 1.6K↓ —
- brooks-healthhyhmrright/brooks-lintCombined codebase health dashboard that scores a project across all four quality dimensions — PR quality, architecture, tech debt, and test quality — in a single pass, drawing on twelve classic engineering books. Triggers when: user wants an overall quality assessment, asks "how healthy is this codebase?", "run all the checks", "I need a health score before the release", or wants to onboard a new team with a quality overview. Do NOT trigger for: server health checks, HTTP health endpoints, Kubernetes liveness/readiness probes, database health, or application uptime. Also do not trigger when the user specifically requests only one dimension — use the corresponding focused skill instead (brooks-review / brooks-audit / brooks-debt / brooks-test).TestingNo warnings★ 1.6K↓ —
- whyNewhashgraph-online/awesome-codex-pluginsExplain why code exists in its current form by sending one investigator to each reachable evidence source and returning a cited, confidence-graded answer. Use for "why does this exist", "why was it built this way", "where did this limit come from", "is this dead code".FinanceNo warnings★ 1.5K↓ —
- senior-qaalirezarezvani/claude-skillsUse for generating or improving tests in React or Next.js apps (Jest, React Testing Library, MSW, Playwright, coverage gaps). Generates suites with test_suite_generator.py, scaffolds E2E with e2e_test_scaffolder.py and reads coverage with coverage_analyzer.py.TestingNo warnings★ 29.2K↓ —
- pnas-figuresbrycewang-stanford/Awesome-Journal-SkillsUse to finalize PNAS display items — column-width sizing (~9 / 11.4 / 18 cm), minimum font sizes, show-the-data with n and defined error bars, scale bars, colorblind-safe palettes, legend structure, image integrity, and color-mode notes. Enforces figure rigor before submission.MediaNo warnings★ 1.4K↓ —
- cfo-advisoralirezarezvani/claude-skillsUse for startup finance decisions: unit economics (LTV, CAC), burn and runway, fundraising and dilution, or board financials. Runs unit_economics_analyzer.py, burn_rate_calculator.py and fundraising_model.py.FinanceNo warnings★ 29.2K↓ —
- jama-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.DesignNo warnings★ 1.4K↓ —
- generate-release-noteshuytieu/COG-second-brainGenerate categorized release notes from any source (GitHub, Linear, Jira, or manual input) with optional publishingProductivityNo warnings★ 1.3K↓ —
- threat-modelmohitagw15856/pm-claude-skillsThreat-model a system or feature to find where it could be attacked, before you build it. Use when asked to threat-model, do a security design review, document security risks, identify attack surface, or apply STRIDE to a design. Produces a structured threat model: assets, trust boundaries and data flows, threats enumerated by category (STRIDE), risk scores, prioritized mitigations, and residual-risk sign-off. Defensive security for systems you own or are authorized to assess.SecurityNo warnings★ 1.5K↓ —
- wiki-summarymohitagw15856/pm-claude-skillsFetch Wikipedia's current summary of any topic with zero API keys — the REST summary endpoint via curl, for answers that need today's article rather than training-data memory. Use when asked what does Wikipedia say about X, get me the current summary of a topic, check a fact against Wikipedia, or has this article changed. Produces the live extract with the article link, disambiguation handling, and a clean separation between what Wikipedia says and what the model adds.ProductivityNo warnings★ 1.5K↓ —
- landingalirezarezvani/claude-skillsUse when asked for a premium single-file HTML landing page with 3D CSS, GSAP scroll effects and parallax. Locks positioning in a short intake, validates the palette with brand_palette_validator.py and the output with html_validator.py.DesignNo warnings★ 29.2K↓ —
- llm-runtime-architectureagentlas-ai/Agentlas-OSUse when designing how one canonical agent core runs across Codex, Claude Code, Antigravity, Cursor, and AGENTS.md-compatible tools.PlanningNo warnings★ 1.6K↓ —
- spec-to-repoalirezarezvani/claude-skillsUse when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.PlanningNo warnings★ 29.2K↓ —
- runtime-adaptersagentlas-ai/Agentlas-OSUse when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions.EngineeringNo warnings★ 1.6K↓ —
- minutes-prepsilverstein/minutesInteractive meeting preparation — builds a relationship brief and talking points before a call. Use when the user says "prep me for my call with", "I'm meeting with X", "prepare me for", "what should I bring up with", "meeting prep", "get ready for my call", or wants to review history with someone before a meeting.EngineeringNo warnings★ 1.6K↓ —Also in 1 other repo
- email-lifecycle-flow-writergooseworks-ai/goose-skillsStep of the email-lifecycle playbook: writes one lifecycle flow as a build sheet for the brand's email tool, every message finished in the brand voice. Run email-lifecycle instead; not for direct use.WritingNo warnings★ 1.3K↓ —
- vpe-advisoralirezarezvani/claude-skillsUse when delivery is slowing, eng hiring is broken, team structure is unclear or you need to decide when to add an eng manager. Runs delivery_throughput_analyzer.py (DORA), eng_hiring_funnel_calculator.py and eng_team_structure_designer.py.OtherNo warnings★ 29.2K↓ —
- relational-database-web-cloudbaseTencentCloudBase/CloudBase-AI-Toolkit[Deprecated] Existing CloudBase MySQL Web SDK only. Do not recommend MySQL for new relational apps — use postgresql-development and app.rdb(). Read this only when a browser app must keep using @cloudbase/js-sdk against an environment that already has MySQL.DataNo warnings★ 1.2K↓ —Also in 5 other repos
- financial-analystalirezarezvani/claude-skillsUse for financial statement analysis, DCF valuation, budget variance or rolling forecasts. Runs ratio_calculator.py, dcf_valuation.py, budget_variance_analyzer.py and forecast_builder.py.FinanceNo warnings★ 29.2K↓ —
- md-documentalirezarezvani/claude-skillsUse when converting long-form markdown (spec, RFC, report, plan) into a single-file HTML page with sticky TOC, search and code-copy. Parses with markdown_parser.py and renders with html_renderer.py using the design-system brand.DesignNo warnings★ 29.2K↓ —
speak-human-tw
Raymondhou0917/speak-human-tw
WritingUpdated 10 hours ago
From the author
「說人話」：繁體中文的去 AI 味改寫 skill。審查與改寫文字，去除 AI 味道、校正中國用語與半形標點，讓文字讀起來像真人寫的。 觸發時機：用戶說「去 AI 味」「說人話」「這段好 AI」「改自然一點」「幫我潤稿去掉 AI 感」「校對一下再發」，或要求檢查電子報、社群貼文、銷售頁、課程文案、客服回信、簡報、公告、Email 等對外文字的語感。 不要觸發：逐字翻譯、模仿特定品牌 voice、事實查核（非風格問題）、程式碼／log／設定檔、要求「潤成雷蒙的語氣」（那是 content-writing skill 的事，本 skill 只去 AI 味、不加個人風格）。
Install
npx skills add Raymondhou0917/speak-human-tw --skill speak-human-tw -a claude-code
Installs to .claude/skills/speak-human-tw/ · 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
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance77
Maintenance100
Licence100
Adoption49
Files (6)
- .gitignore
- CHANGELOG.md
- CONTRIBUTING.md
- LICENSE
- README.md
- SKILL.md