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 21 minutes ago
565 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↓ —
- ab-testinga5c-ai/babysitterA/B testing skill for player segmentation.TestingNo warnings★ 1.9K↓ —
- test-driven-developmenta5c-ai/babysitterTest-first development practice where test specifications are written before production code, integrated into plan tasks as mandatory first sub-steps.TestingNo warnings★ 1.9K↓ —
- YARA Rules Skilla5c-ai/babysitterYARA rule creation, testing, and deploymentTestingNo warnings★ 1.9K↓ —
- websocketa5c-ai/babysitterSpecialized skill for WebSocket protocol implementation and testing. Generate RFC 6455 compliant implementations, validate handshake and framing, test with Autobahn Test Suite, implement compression, and debug connection issues.TestingNo warnings★ 1.9K↓ —
- screen-readera5c-ai/babysitterScreen reader compatibility, testing, and optimization.TestingNo warnings★ 1.9K↓ —
- 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↓ —
- 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↓ —
- opportunity-solution-treedeanpeters/Product-Manager-SkillsBuild an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build.TestingNo warnings★ 7.6K↓ —
- 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↓ —
- drawio-skillAgents365-ai/drawio-skillCreate and edit draw.io/diagrams.net diagrams as editable `.drawio` files. Covers architecture, UML/ERD/sequence, BPMN, network, and swimlane views authored from a description or converted from code, IaC, SQL, and API schemas, plus sync, query, test, review, export, and publish of existing diagrams. Use when the user asks for draw.io/diagrams.net or an editable diagram; prefer Mermaid/PlantUML when diagrams-as-code is enough.TestingNo warnings★ 10.3K↓ —
- daytona-electron-denDevin-AXIS/iPolloWorkElectron and Den, desktop plus cloud, two-sandbox e2e, cloud auth, marketplace, org policy, worker proxy, provider sync, desktop handoff. Validate Electron against a Daytona Den server with unified proof.TestingNo warnings★ 7.1K↓ —
- daytona-cloud-serverDevin-AXIS/iPolloWorkDaytona cloud server, Den sandbox, desktop plus cloud e2e, marketplace server, worker proxy, cloud auth, org policies, connect Electron to Den. Use for server-side setup in validated flows.TestingNo warnings★ 7.1K↓ —
- run-evalsDevin-AXIS/iPolloWorkdo e2e tests, run e2e, validate feature, prove it works, PR proof, frame proof, pnpm evals. Launches iPolloWork on Daytona or local Electron and runs the coded eval flows via CDP. Launch + run mechanics; the proof loop itself is the fraimz skill.TestingNo warnings★ 7.1K↓ —
- fraimzDevin-AXIS/iPolloWorkcreate a fraimz, make fraimz, prove it works, frame proof, PR proof, validate experience, e2e evidence, fraimz.html. The full fraimz loop — frame the claim, drive the real app via CDP, validate/repair, output fraimz.html. Use whenever a task ends with "please create a fraimz" or any change needs end-to-end proof.TestingNo warnings★ 7.1K↓ —
- robustnessbrycewang-stanford/Auto-Empirical-Research-SkillsChecklist of empirical robustness tests for finance/economics papersTestingNo warnings★ 4.7K↓ —
- Full-empirical-analysis-skillbrycewang-stanford/Auto-Empirical-Research-SkillsClassical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step pipeline an applied economist or quantitative social scientist runs on every paper — (1) data cleaning, (2) variable construction & transformation, (3) descriptive statistics & Table 1, (4) statistical diagnostic tests, (5) baseline empirical modeling, (6) robustness battery, (7) further analysis (mechanism, heterogeneity, mediation, moderation), (8) publication-ready tables & figures. **Also covers two parallel domain modes that share the same 8-step scafTestingNo warnings★ 4.7K↓ —Also in 1 other repo
- 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↓ —
- 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↓ —
- 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↓ —
- tdd-workflowbrycewang-stanford/Auto-Empirical-Research-SkillsTest-driven development workflow for R using testthat. Use when writing new features, fixing bugs, or refactoring code. Enforces test-first development with 80%+ coverage.TestingNo warnings★ 4.7K↓ —
- next-qabreaking-brake/cc-wf-studioRun one unattended iteration of the QUALITY-ASSURANCE loop — steward any in-flight QA PR, then build ONE queued `qa` issue (test infrastructure, unit tests, regression tests for known bugs) on a branch off auto-qa and open a PR that squash-merges on green CI. Adds tests and tooling only; never edits product source. Use when the user says "QAタスク", "next qa", "テストを進めて", or wants autonomous progress on the quality track.TestingNo warnings★ 5.4K↓ —
- next-qa-ideabreaking-brake/cc-wf-studioRun one unattended IDEATION iteration of the quality-assurance loop — find the highest-value untested behavior in the codebase, judge it against the QA value bar, and file ONE locked `qa` issue specifying the test to write. Never writes code or tests; the next-qa skill builds from the queue this skill fills. Use when the user says "QAアイデア", "next qa idea", or wants the QA backlog refilled without implementation.TestingNo warnings★ 5.4K↓ —
drawio-skill
Agents365-ai/drawio-skill
TestingUpdated Oct 11, 2026
From the author
Create and edit draw.io/diagrams.net diagrams as editable `.drawio` files. Covers architecture, UML/ERD/sequence, BPMN, network, and swimlane views authored from a description or converted from code, IaC, SQL, and API schemas, plus sync, query, test, review, export, and publish of existing diagrams. Use when the user asks for draw.io/diagrams.net or an editable diagram; prefer Mermaid/PlantUML when diagrams-as-code is enough.
Install
npx skills add Agents365-ai/drawio-skill --skill drawio-skill -a claude-code
Installs to .claude/skills/drawio-skill/ · 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
Runs bundled scriptsNo network use seenLicence: MIT
Safety checks on SKILL.md
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Security85
Provenance88
Maintenance100
Licence100
Adoption63
Files (79)
- LICENSE
- SKILL.md
- agents/openai.yaml
- data/SHAPE-INDEX-NOTICE.md
- data/databricks-icons.json
- data/diagram-ir.schema.json
- data/lobe-icons.json
- data/shape-index.json.gz
- references/autolayout.md
- references/ci-gate.md
- references/cookbook.md
- references/databricks.md
- +67 more