The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 437 files from 1 744 authors, of which 61 785 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Generate Ontology School course paths/labs with progressive step ontologies from source ontology material. Use when user asks to tutorialize an ontology into school lessons and per-step builds.
Generate approved person names for examples, demos, quests, tests, docs, and sample data. Use when a task needs fictional person names, customer names, employee names, patient names, student names, instructor names, or other human names.
Add a contributor ontology to catalogue/community/. Use when a community member submits an RDF/OWL file and wants it listed in the Playground catalogue under their GitHub username.
Add a new color theme to the Ontology Playground. Use when someone wants to create, author, or plug in a theme, palette, color scheme, dark mode, or light mode, or add an entry to the theme picker. Covers the appStore registration plus the CSS token block.
| Commissaire aux comptes IA pour l'audit des comptes annuels d'entreprises françaises. Applique la démarche de la balance, de la liasse fiscale, et contrôles transversaux. Émet une opinion motivée sur la fiabilité des comptes avec rapport structuré.
| Comptabilité, fiscalité et facturation pour entreprises françaises. Gère écritures PCG, déclarations TVA, IS/IR, clôture annuelle, liasse fiscale (2033/2065), FEC, états financiers, et chaîne facturation (mentions obligatoires, numérotation, Factur-X/UBL/CII, plateformes agréées PDP/PA, e-reporting, réforme 2026, PEPPOL). Utiliser dès qu'une question porte sur comptabilité française, TVA, impôts, bilan, compte de résultat, amortissement, PCA, clôture, facture, avoir, devis, acompte, facturation électronique, ou e-invoicing.
| Inspecteur des finances publiques IA. Simule un contrôle fiscal DGFIP complet sur les comptes d'une entreprise française (SASU, EURL, SAS, SARL). Analyse le FEC, la liasse fiscale, les charges déduites, le compte courant d'associé, la TVA, l'IS selon 8 axes de vérification. Identifie les chefs de redressement potentiels avec montants, base légale et niveaux de risque.
| et déclaration de l'impôt sur le revenu, IFI, revenus du capital, revenus fonciers, equity salarial, crypto-actifs et PER. Couvre le calcul de l'IR (barème, quotient familial, décote, PAS, CEHR, revenus exceptionnels), la déclaration 2042 et annexes, les revenus du capital (PFU vs barème, PEA, assurance-vie, dividendes, plus-values), les revenus fonciers (micro/réel, déficit, LMNP, SCI IR), l'equity startup (RSU, BSPCE, stock-options, PEE/PERCO), la fiscalité crypto (PAMC, 2086), l'IFI et les déductions (PER, pension alimentaire). flat tax, PEA, assurance-vie, LMNP, revenus fonciers, déficit foncier, SCI IR, RSU, BSPCE, stock-options, PEE/PERCO, crypto, 2086, IFI, PER, plafond PER, niche fiscale, optimisation fiscale, simulation IR, TMI. (comptable).
| Notaire IA pour le droit immobilier, les successions, les donations, le droit de la famille et le droit des sociétés en France. Copilote juridique pour la préparation d'actes, le conseil patrimonial, les calculs de frais et la vérification de conformité. Couvre le calcul des frais de notaire (DMTO, émoluments, débours, CSI), la plus-value immobilière, les droits de succession et donation, le démembrement, les contrats de mariage, les PACS, les SCI, et la rédaction de projets d'actes (compromis, statuts, testaments).
| Gère un parc de copropriétés en France avec vue portfolio consolidée. Couvre administration, comptabilité (décret 2005, plan comptable copro, 5 annexes), assemblées générales (convocation, PV, notification), appels de fonds, travaux, fournisseurs, recouvrement d'impayés et transition de syndic. Maîtrise les majorités (art. 24, 25, 25-1, 26), le fonds de travaux (art. 14-2), le privilège immobilier (art. 19-2) et l'immatriculation RNC. Intégration Qonto pour le rapprochement bancaire. Utilisé pour toute question liée à la copropriété, au syndic bénévole ou coopératif, aux charges, tantièmes, AG, ou au droit de la copropriété (loi 1965, ALUR, ELAN).
**UTILITY SKILL** — Must be consulted before making any changes to packages under sdk/. Discovers and loads package-specific domain knowledge that prevents common mistakes. WHEN: "add feature to package", "fix bug in package", "modify package code", "regenerate from typespec", "change client library".
Interactive wizard that walks service teams through creating a package-specific skill for their Azure SDK package. Scans the package, detects customization patterns, scaffolds a SKILL.md with references, and validates with vally lint. The skill is placed inside the package''s .github/skills/ directory so find-package-skill discovers it automatically. WHEN: create package skill; add service skill; bootstrap skill for package; new package skill; skill for my SDK package; write skill for search; write skill for cosmos.
Author skipped Vitest spec files for newly added non-beta ai-projects features under test/. Use when new GA (non-beta) classes, methods, or namespaces appear in review/ai-projects-node.api.md and need test coverage. Generates .skip-ped specs with TODO markers so a human can add recordings, then verifies the file compiles via npm run test:node.
Apply language-specific post-emitter fixes to ai-projects after a TypeSpec regeneration writes directly into src/ and generated/. Use when reviewing the working-tree diff from `npm run generate:client`, validating the SDK diff against upstream TypeSpec commit descriptions, enforcing protected-file rules, reverting unwanted emitter changes (renames, parameter shapes, model deletions), and preparing the package for build verification. Runs after the regenerate-from-typespec skill.
Migrate Azure/azure-sdk-for-js to a user-specified minimum Node.js version while preserving any existing references above the target.
Regenerate the @azure/ai-projects client from the latest TypeSpec commit on Azure/azure-rest-api-specs. Use when refreshing emitted code, bumping the pinned tsp-location commit, running tsp-client update, or pulling in upstream Foundry spec changes. Handles the rename dance between tsp-location.saved.yaml and tsp-location.yaml, and captures upstream commit descriptions for post-merge validation.
**UTILITY SKILL** — Must be consulted for SDK development workflow tasks. Routes agents to the correct tools and documentation for building, testing, linting, formatting, provisioning, deploying, and other package development tasks. WHEN: "build package", "run tests", "lint code", "format code", "run checks", "prepare samples", "publish samples", "apply customization", "run migrations", "bump version", "extract API", "update snippets", "check API compatibility", "manage test recordings", "provision test resources", "deploy test resources", "create test resources", "set up test environment", "authenticate to Azure", "login to Azure", "release package", "increment version", "troubleshoot CI", "fix CI failure", "CredScan", "credential scan", "push recordings", "asset sync", "update recordings".
Commit ai-projects regeneration output to a new branch and open a draft GitHub PR against Azure/azure-sdk-for-js main. Use when the prior five regen skills are complete and you need to push the branch and create a draft pull request via the gh CLI. Stages five logical commits (emitter output, post-emitter edits, samples, tests, changelog). Never force-pushes; always opens as draft.
Re-record the ai-projects live test suite, push only the recordings whose playback passes to the Azure/azure-sdk-assets repo, and open a PR for the updated assets.json. Use when test recordings are stale, a recorded test fails in playback in CI, or new recorded tests need fresh recordings. Wraps TEST_MODE=record / TEST_MODE=playback runs, dev-tool test-proxy push, and a single-file assets.json PR via the gh CLI.
Domain knowledge for Azure AI Content Understanding. Use this skill to answer questions about Content Understanding concepts, analyzers, field schemas, API operations, and JavaScript SDK usage. Always consult official documentation before answering.
Update ai-projects CHANGELOG.md after a TypeSpec regeneration. Merges new items into the existing top (Unreleased) entry when present; otherwise creates a new top entry, classifying changes into Breaking Changes / Features Added / Bugs Fixed / Other Changes buckets and syncing package.json version as needed.
Guide SDK users through setting up their JavaScript / Node.js environment for Azure AI Content Understanding. Use this skill when users need help installing the SDK, configuring Azure resources, deploying required models, setting environment variables, or running samples.
Run a specific sample for the Azure AI Content Understanding JavaScript SDK. Use when users want to run a particular sample like analyzeUrl.js or analyzeInvoice.js.
> text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/SVG/PDF/DOCX/ODT/HTML/MD. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible /remove-claude-marks).
Creates durable, resumable workflows using Vercel's Workflow SDK. Use when building workflows that need to survive restarts, pause for external events, retry on failure, or coordinate multi-step operations over time. Triggers on mentions of "workflow", "durable functions", "resumable", "workflow sdk", "queue", "event", "push", "subscribe", or step-based orchestration.
Spin up a portless + tmux dev session for the Workflow SDK that gives each git worktree isolated `<branch>.<name>.localhost` URLs for the Next.js workbench and the observability UI, plus a Claude statusline that surfaces those URLs. Use only when the user asks for a "portless dev session", a "tmux dev layout for workflow", "worktree-isolated dev URLs", or wants to wire workflow dev URLs into the Claude statusline. Do not activate for the generic "start the dev server" / "run pnpm dev" task.
Migrates Temporal, Inngest, Trigger.dev, and AWS Step Functions workflows to the Workflow SDK. Use when porting Activities, Workers, Signals, step.run(), step.waitForEvent(), Trigger.dev tasks / wait.forToken / triggerAndWait, ASL JSON state machines, Task/Choice/Wait/Parallel states, task tokens, or child workflows.
Install and configure Vercel Workflow SDK before it exists in node_modules. Use when the user asks to "install workflow", "set up workflow", "add durable workflows", "configure workflow sdk", or "init workflow" for Next.js, Express, Hono, Fastify, NestJS, Nitro, Nuxt, Astro, SvelteKit, or Vite.
通用中文创作与改稿 Skill。用于知乎回答、论坛长帖、公众号文章、博客、评论、人物故事、历史叙事、新闻与行业解读、科普、教程、评测、个人叙事、小说、故事、对白、口播和演讲稿。默认写成一个见过事、查过材料、愿意把来龙去脉讲清楚的人在说话,重点保留中文互联网长回答与长帖的活人感和自然中文韵律,避免空泛的机构腔、喊口号式演说腔、营销腔和模型腔。非虚构长文先检查材料够不够,材料不足时研究、追问或缩短,绝不用重复解释灌字数。现实内容额外核验事实、引语、数据与用户亲历,虚构内容可以创造人物、场景、对白、心理与情节。成稿正文严禁冒号、破折号、“不是……而是……”及同类翻案句,并清除商业黑话和模型惯用黑话。不创建作者画像、个人规则库或个人写作 Skill。
Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing data needs for a UI.
Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.
Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.
Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks. Use when working with MUI components, styling with sx prop, theme customization, or MUI utilities.
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.
Use ONLY when the user explicitly says: 'use the skill web-to-markdown ...' (or 'use a skill web-to-markdown ...'). Converts webpage URLs to clean Markdown by calling the local web2md CLI (Puppeteer + Readability), suitable for JS-rendered pages.
Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to scaffold a bot with create-chat-sdk, build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, handle mentions, direct messages, subscribed threads, reactions, slash commands, cards, modals, files, or AI streaming, set up webhook routes or multi-adapter bots, send rich cards or streamed AI responses to chat platforms, or build a custom adapter or state adapter.
Add a vendor-official or community adapter to the Chat SDK catalog and docs — adapters.json registry, chat/adapters catalog entry, the docs MDX page, meta.json, integration-test lists, and a changeset. Use when a developer wants to add, list, register, or submit a third-party (vendor-official or community) adapter to this repo, add an adapter to the catalog, or create or edit an adapter docs page under apps/docs/content/adapters/vendor-official or apps/docs/content/adapters/community.
How to add a new object with a NID and/or OID to BoringSSL.
How to add a new error code in BoringSSL.
How to build BoringSSL and run its tests.
How to regenerate/update pre-generated files (e.g., perlasm, build files) in BoringSSL.
How to add a new source file to the BoringSSL build.
How to run BoringSSL's ssl/test/runner suite (protocol-level BoGo tests)
Use when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast radius, CI drift, state corruption) with version-aware guards.
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".
| Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request.
| dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
Integrate Bunny.net services (CDN, Storage, Stream, DNS, Edge Scripting, Shield, Magic Containers, Optimizer, Database). Use when building with Bunny.net APIs, deploying to Bunny CDN, uploading files to Edge Storage, managing video streaming, configuring DNS zones, writing edge scripts, setting up WAF/DDoS protection, deploying containers, or optimizing images. Triggers on "bunny", "bunnycdn", "b-cdn", "pull zone", "edge storage", "bunny stream".
>- Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Systematic debugging frameworks for finding and fixing bugs - includes root cause analysis, defense-in-depth validation, and verification protocols
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Answers built from the skills we actually parsed.