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.
8,895 skills from 259 repositories · updated 11 minutes ago
505 skills
- test-driven-developmenta5c-ai/babysitterStrict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.TestingNo warnings★ 1.9K↓ —
- playwrighta5c-ai/babysitterPlaywright E2E testing, page objects, fixtures, visual regression, accessibility testing, and CI integration patterns.TestingNo warnings★ 1.9K↓ —
- storybooka5c-ai/babysitterStorybook configuration, stories, addons, interaction testing, and documentation.TestingNo warnings★ 1.9K↓ —
- codebase-mappinga5c-ai/babysitterAutomatic codebase indexing for invisible context injection. Catalogs project structure, file types, entry points, dependencies, and test layout.TestingNo warnings★ 1.9K↓ —
- cypressa5c-ai/babysitterCypress testing patterns, custom commands, component testing, and CI integration.TestingNo warnings★ 1.9K↓ —
- test-automationa5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationTestingNo warnings★ 1.9K↓ —
- vitesta5c-ai/babysitterVitest configuration, mocking, coverage, snapshot testing, and performance.TestingNo warnings★ 1.9K↓ —
- derisk-measurement-advisordeanpeters/Product-Manager-SkillsIdentify what to measure, test, or track to de-risk a product or AI idea. Use when stress-testing an idea across internal (DUFV) and external (PESTEL) dimensions.TestingNo warnings★ 7.6K↓ —
- test-enforcementa5c-ai/babysitterAutomated test validation, coverage checking, and quality metrics with aggressive defaultsTestingNo warnings★ 1.9K↓ —
- jesta5c-ai/babysitterJest configuration, mocking strategies, snapshot testing, and coverage.TestingNo warnings★ 1.9K↓ —
- strict-tdda5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationTestingNo warnings★ 1.9K↓ —
- qa-testinga5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationTestingNo warnings★ 1.9K↓ —
- daytona-recording-artifactsDevin-AXIS/iPolloWorkframe proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos.TestingNo warnings★ 7.1K↓ —
- pol-probedeanpeters/Product-Manager-SkillsDefine a Proof of Life probe to test a risky hypothesis cheaply. Use when you need harsh truth before building real product.TestingNo warnings★ 7.6K↓ —
- acquisition-channel-advisordeanpeters/Product-Manager-SkillsEvaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.TestingNo warnings★ 7.6K↓ —
- generate2dmedia0x0funky/agent-sprite-forgeThe art-route layer of the Forge skills. route_media.py is the one command that generates an image or an image-to-video clip - through the paid API of any provider whose key is configured (OpenAI, Google Gemini, xAI, BytePlus ModelArk, fal.ai; the configured key is the owner's consent), else through the user's own signed-in Codex or Grok CLI - and prints one JSON line with the route, artifact, sha256 and cost estimate; with no route it answers no-route (codeart2d is then the last resort). Also the capability check (forge_doctor), API key configuration, the spend ledger, resume and Codex image adoption. Use when a Forge skill sends a generation here, for the capability check, or when the user asks about keys, routes or spend. Not for planning, processing or QA of sprites, video frames or maps (generate2dsprite, video2dsprite, generate2dmap) or for code-drawn art (codeart2d).TestingNo warnings★ 4.5K↓ —
- generate2dsprite0x0funky/agent-sprite-forgeMake game-ready 2D characters, creatures, props, icons and FX as master stills, sprite sheets or animation clips. Plan size, motion and finish; generate the art (image generation is the default, through generate2dmedia route_media.py - the API when a key is configured, else the local Codex or Grok CLI); approve one master still per character; then key, slice, register, scale, palette, QA and export frames for a game engine (Aseprite JSON, Godot SpriteFrames or Sprite3D). HD finish by default, pixel finish on request. Character animation is one image-to-video clip per action from the master (video2dsprite); sheets are for FX, icons and props. Use for sprites, masters, sheets, frame-by-frame animation and packaging frames from any source. Not for maps, tiles or backgrounds (generate2dmap), video clips (video2dsprite), code-drawn art (codeart2d, only on request) or calling an image or video API by itself (generate2dmedia).TestingNo warnings★ 4.5K↓ —
- wiki-agents-mdmicrosoft/skillsGenerates AGENTS.md files for repository folders — coding agent context files with build commands, testing instructions, code style, project structure, and boundaries. Only generates where AGENTS.md is missing.OfficialTestingReview first★ 3.1K↓ —
- figure-styleaipoch/open-sciencePublication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots. Use for a figure that will ship in a report, paper, export, or kept artifact. Covers data fidelity, label economy, color threading, chart choice, layout, and render-then-verify QA without imposing a visual house style. For multi-panel composition use `figure-composer`; for whole-paper ordering use `paper-narrative`.TestingNo warnings★ 5.3K↓ —
- skill-creatoraipoch/open-scienceCreate, revise, evaluate, publish, and improve Open-Science Skills through the native JavaScript host.skills composer. Use when the user wants a reusable workflow, an existing Skill changed, test cases or benchmarks for a Skill, or better Skill triggering.TestingNo warnings★ 5.3K↓ —
- http-load-profilerzebbern/claude-code-guideRun stepped HTTP load tests with ab/wrk, ramping concurrency levels to collect p50/p90/p99 latency, detect performance inflection points, and recommend optimal concurrency. Triggered by requests like 'load test this URL', 'benchmark my API', 'find the max concurrency', or mentions of p99 latency, throughput saturation, or capacity planning.TestingNo warnings★ 4.7K↓ —
- d4brycewang-stanford/Auto-Empirical-Research-SkillsAgent D4 - Measurement Instrument Developer - Scale construction and psychometric validation. Covers item development, validity evidence, and reliability testing for social science research.TestingNo warnings★ 4.7K↓ —
- e1brycewang-stanford/Auto-Empirical-Research-SkillsE1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical analysis, ANOVA, regression, t-test, power analysis, assumption checking, effect size, thematic analysis, grounded theory, content analysis, narrative analysis, NVivo, ATLAS.ti, coding, qualitative data, R code, Python code, SPSS syntax, sensitivity analysis, robustness checkTestingNo warnings★ 4.7K↓ —
- causal-inference-mixtapebrycewang-stanford/Auto-Empirical-Research-SkillsThis skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write parallel trends test", "implement Bacon decomposition", or needs code templates for causal inference methods in Python, R, or Stata. Based on Scott Cunningham's Causal Inference: The Mixtape.TestingNo warnings★ 4.7K↓ —