Claude Skills
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. 86 543 files from 2 102 authors, of which 68 261 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.
Use when drafting or editing a LinkedIn post in the house voice.
Use when drafting or editing a post for Threads (Meta): casual, conversational, reply-driven voice.
Generic writing-quality rules for any prose meant for humans to read: keep it natural, plain, and free of AI-sounding phrasing, and check it against the AI-phrases and plain-English reference lists. Load before drafting, editing, or reviewing content. Not needed for code or configuration work.
How to compose or revise the weekly digest email of a repository's open issues: subject line, grouping, one-line issue summaries, needs-attention and stale criteria, citation format, and the closing invitation to reply. Load when composing this week's digest or reworking a draft of it. Not for other emails, replies, or GitHub and Linear comments.
Playbook for triaging GitHub issues: checking for duplicates, applying the repo's existing labels, deciding whether to ask for a reproduction or close, and choosing when to act directly versus report back first. Load whenever asked to triage, label, dedupe, or close issues, whether the request came from a GitHub mention, an email reply, or a Linear delegation. Not needed for composing the weekly digest, answering general questions on a thread, or creating Linear issues.
Conventions for bridging GitHub and Linear: creating Linear issues from GitHub issues, cross-referencing the two trackers, and checking whether a GitHub issue is already tracked in Linear. Load when asked to create Linear issues from GitHub issues, link the trackers in either direction, or report tracking status. Not needed for work that stays inside one tracker.
Cross-resource deep analysis of a specific distributed trace. Takes an operation ID and correlates telemetry across multiple Application Insights resources to build a unified picture of a distributed operation.
Guide users through enabling the Application Insights Profiler for .NET on their platform. Use this when asked to enable the profiler, set up profiling, or when profiler data is missing.
Download a profiler trace file from Application Insights Profiler. Use this when asked to download, save, or export a profiler trace or .etl/.nettrace file.
Download a snapshot dump file from Application Insights Snapshot Debugger. Use this when asked to download, save, or export a snapshot or .dmp file for offline debugging.
Fetch and display the hot path from an Application Insights Profiler trace. Use this when asked to get the profiler hot path, call tree, or trace analysis for an App Insights resource.
Analyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics. Use this when asked to analyze AI agent performance, detect anomalies in agent telemetry, or review agent trace data.
Explore errors in Application Insights — exceptions, failed requests, and failed dependencies. Use this when asked to find errors, investigate failures, identify reliability issues, or recommend which errors to fix.
Guide users through enabling the Application Insights Snapshot Debugger for .NET on their platform. Use this when asked to enable the snapshot debugger, set up snapshot collection, or when snapshot data is missing.
Fetch exception details, call stack, and variable values from an Application Insights Snapshot Debugger snapshot. Use this when asked to inspect a snapshot, view exception info, debug an exception, or see variable values from a crash.
Guide for analyzing performance issues based on profiler and code optimizations, including CPU, latency, and throughput. Use this when asked to investigate performance bottlenecks or optimize application performance.
Adds a new extension point route to a Sitecore Marketplace app. Use when the user wants to add a custom field, dashboard widget, context panel, fullscreen page, or standalone route.
Scaffolds a new Sitecore Marketplace app using the official SDK. Use when the user wants to create a new marketplace app, start a new Sitecore project, or initialize a marketplace integration.
Builds UI components using the Blok design system for Sitecore Marketplace apps. Use when the user wants to create UI, add components, build a page layout, or work with Blok/shadcn components in a marketplace app.
Sitecore Marketplace SDK API reference. Use when the user asks about SDK methods, types, queries, mutations, subscriptions, or how to use any Sitecore Marketplace SDK API.
Adds XM Cloud API integration to a Sitecore Marketplace app. Use when the user wants to access Sites, Pages, Authoring, Content Transfer, Search, or Agent APIs from XM Cloud.
Deploys a Sitecore Marketplace app to Vercel with correct CSP headers and configuration.
Adds AI Skills integration (Brand Review API) to a Sitecore Marketplace app. Use when the user wants to add AI-powered content analysis, brand review, or brand compliance checking.
Deploy applications and websites to Vercel with a claimable preview. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment". No authentication required - returns preview URL and claimable deployment link.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. Based on https://github.com/multica-ai/andrej-karpathy-skills.
Best practices for Remotion - Video creation in React
Project knowledge for making this repo preview correctly from Vercel Devbox/Sandbox. Use when configuring Next.js dev settings, explaining how users preview the app from Devbox, or responding to localhost, Sandbox URL, port 3000, or cross-origin dev-resource issues.
Python `ai` SDK — models, providers, streams, events, tools, agents, hooks, MCP, AI SDK UI, structured output, and media generation
Project knowledge for configuring Vercel Services in this Next.js and FastAPI starter. Use when editing vercel.json, adding services, debugging frontend-to-backend routing, or explaining Vercel Services local development and deployment.
AWS Aurora PostgreSQL and Aurora DSQL Python integration using asyncpg. Use when building Python backends with Aurora PostgreSQL or Aurora DSQL.
Use when building Hono web applications deployed to Vercel, or when the user asks about Hono APIs, routing, middleware, JSX, validation, testing, or streaming. TRIGGER when code imports from 'hono' or 'hono/*', or user mentions Hono. Use `npx hono request` to test endpoints.
Apify agent for web scraping, automation, and Actor development. Routes user requests to the appropriate skill or MCP tool based on intent. Use for any Apify request: finding or running Actors, reading datasets or key-value stores, Actor development, and Apify auth or token problems. Load this skill before acting on one; it picks MCP or the CLI per operation and diagnoses missing auth. The catalog entry is a pointer, not the answer.
Fetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.
Creates code-based evaluators for LangSmith-traced agents. Use when building custom evaluation logic, testing tool usage patterns, or scoring agent outputs programmatically. Triggers on requests to evaluate agents, create evaluators, or run experiments against LangSmith datasets.
Get an unseen (possibly old or abandoned) TypeScript/JavaScript GitHub repo building in a disposable sandbox. Detects the era-appropriate toolchain, runs the documented setup, then drives Setup/Compile/Test/Runtime to green with a progress-based convergence loop. Use when you need to bring up a repo you've never seen and honestly report what it took. Scope is TS/JS (Node + package manager + tsc) only.
How to make minimal repos that the TypeScript team enjoys working with
Draw 2D shapes (filled rectangles, outlined frames, ASCII bitmaps) on the 32×32 MCP pixel grid. Use this skill whenever the user asks to draw a square, rectangle, box, frame, outline, border, sprite, or other 2D shape on the pixel grid, or when the task involves placing a block or bitmap at specific grid coordinates. The pixel-grid MCP server only exposes a 1D `write(offset, bits)` primitive; this skill compiles a 2D drawing into the sequence of `write` calls that implements it.
Writing-quality guardrails for any prose the agent drafts or edits: blog posts, page copy, Notion drafts, release notes, marketing text. Use this skill whenever writing or revising content meant for humans to read, to keep the prose natural, plain, and free of AI-sounding phrasing. Not needed for code, queries, or structural CMS work.
HUMAN-ONLY shepherd design approval. Run after reviewing .shepherd/2-design.md, .shepherd/3-success-criteria.md, and .shepherd/_panel.json. Records the approved panel in _state.json, writes .shepherd/_design.approved, and hands control back to /shepherd. The agent cannot invoke this.
HUMAN-ONLY shepherd create-PR approval. Run after reviewing the change and .shepherd evidence. Writes .shepherd/_create_pr.approved and hands control back to /shepherd. The agent cannot invoke this.
Post-run analysis of one or more shepherd runs in the current session — per-stage cost, signal-per-stage counterfactuals, reviewer overlap, gate calibration, and ranked improvements. Run after a run reaches phase=done. Invoke as /shepherd-evaluate.
Use when the human asks for a coding task to run through shepherd's human-gated pipeline with durable run files under .shepherd/ instead of direct editing — features, bug fixes, refactors. Invoked on demand: /shepherd <task> starts a run, bare /shepherd resumes the run recorded in .shepherd/_state.json — never auto-invoked for a task that merely looks suitable.
Detailed model routing role definitions, decision flowchart, model tier grid, and fallback chain best practices. Load when authoring agents or debugging model routing.
> Drive Agora Workbench MCP servers — any server that exposes an execute_*_code tool — by writing Python that runs inside the server's persistent kernel, where its tools and libraries already live. Activate whenever an execute_*_code tool is connected and the user asks for work that could run there, BEFORE reaching for local shell, standalone scripts, or package installs. The server already has the environment; call its tool instead of rebuilding the capability locally.
> Plan and navigate multi-step domain workflows using the state graph. Activate when a task involves ordered tool dependencies, multiple state transitions, or when unsure which tool to call next in a domain sequence.
> Fetch data assets into the kernel, transfer Python objects between servers, and publish output files to the user. Activate when working with data files, cross-server data movement, or when the user asks for downloads or exports.
> Run long-running or parallel code asynchronously. Activate when code will take more than 30 seconds, when processing many independent inputs, or when the user asks to run something in the background.
Use when the user wants to build, adapt, run, or evaluate an OpenAI Agents SDK app from Cursor. Prefer a docs-first workflow and route API credential decisions through openai-platform-api-key before API-backed work.
Use when Cursor is asked to build, run, test, debug, or configure an OpenAI-backed or provider-unspecified AI app, UI, script, CLI, generator, or tool, especially requests phrased only as "using AI" or generators driven by forms/user input; also use for OPENAI_API_KEY or sk-proj setup. Treat this as the credential gate: inspect safely, ask reuse-vs-new before API work, guide manual local setup when needed, verify presence, and never expose plaintext.
Use when an OpenAI API request fails or the user asks what an error means, including blocked access to api.openai.com, 401 invalid_api_key, missing OPENAI_API_KEY, 429 insufficient_quota, 429 rate_limit_exceeded, or 403 model_not_found. Classify the failure, name the next step, route credential setup to openai-platform-api-key, and current guidance to openai-docs.
Use when a developer needs a ChatGPT Apps submission import file from an MCP server. Inspect the implementation, generate chatgpt-app-submission.json with app info, tool-hint justifications, positive and negative test cases, then report review findings and outputSchema warnings.
Use when the user explicitly wants a ChatGPT App, Apps SDK project, MCP server plus widget UI, ChatGPT-compatible tool UI, or submission/deployment work for that surface. Build, scaffold, refactor, or troubleshoot those projects from Cursor, consult openai-docs before generating code, and use openai-platform-api-key before any app path that requires live OpenAI API credentials.
Use whenever the user asks anything about OpenAI products, APIs, models, or SDKs — including factual lookups ("what is the newest model", "does X support Y"), build/coding requests ("write a script using the Responses API"), latest/current/default-model prompting guidance, model migrations, and citation requests. Invoke before calling any openaiDeveloperDocs MCP tool.
Prisma Compute deployment and hosting guide. Use whenever the user mentions Prisma Compute, `prisma.compute.ts`, `defineComputeConfig`, deploying or hosting a Prisma app, `@prisma/cli app deploy`, `compute:deploy`, `create-prisma --deploy`, `PRISMA_SERVICE_TOKEN`, `auth workspace`, Compute apps/deployments/build logs/domains, `@prisma/cli agent install`, localhost vs `0.0.0.0`, deploy port binding, or framework deploy readiness for Hono, Elysia, Next.js, TanStack Start, Astro, Nuxt, Svelte, Nest, Turborepo, or custom/prebuilt artifacts.
Render and serialize Portable Text to React, Svelte, Vue, Astro, HTML, Markdown, and plain text. Use when implementing Portable Text rendering in any frontend framework, building custom serializers for non-standard block types, converting Portable Text to HTML strings server-side, converting Portable Text to Markdown, extracting plain text from Portable Text, or troubleshooting rendering issues with marks, blocks, lists, or custom types.
The review rubric: writing-quality rules and reference lists for judging a content draft, covering AI-sounding phrasing, bloated wording, structure, and web-content specs. Load at the start of every review.
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
Sanity development best practices for schema design, GROQ queries, TypeGen, Visual Editing, images, Portable Text, Studio structure, localization, migrations, Sanity Functions, Blueprints, and framework integrations such as Next.js, Nuxt, Astro, Remix, SvelteKit, Angular, Hydrogen, and the App SDK. Use this skill whenever working with Sanity schemas, defineType or defineField, GROQ or defineQuery, content modeling, Presentation or preview setups, Sanity-powered frontend integrations, Sanity Functions, documentEventHandler, defineDocumentFunction, defineMediaLibraryAssetFunction, @sanity/functions, @sanity/blueprints, sanity.blueprint.ts, event-driven content automation, or when reviewing and fixing a Sanity codebase.
SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content for Google, ChatGPT, Perplexity, and similar assistants.
Claude Skills — questions
Answers built from the skills we actually parsed.