Comprehensive guide for the Cloudflare Agents SDK - build AI-powered autonomous agents on Workers + Durable Objects. Use when: building AI agents, creating stateful agents with WebSockets, implementing chat agents with streaming, scheduling tasks with cron/delays, running asynchronous workflows, building RAG (Retrieval Augmented Generation) systems with Vectorize, creating MCP (Model Context Protocol) servers, implementing human-in-the-loop workflows, browsing the web with Browser Rendering, managing agent state with SQL, syncing state between agents and clients, calling agents from Workers, building multi-agent systems, or encountering Agent configuration errors. Prevents 15+ documented issues: migrations not atomic, missing new_sqlite_classes, Agent class not exported, binding name mismatch, global uniqueness gotchas, WebSocket state handling, scheduled task callback errors, state size limits, workflow binding missing, browser binding required, vectorize index not found, MCP transport confusion, authentication bypassed, instance naming errors, and state sync failures. Keywords: Cloudflare Agents, agents sdk, cloudflare agents sdk, Agent class, Durable Objects agents, stateful agents, WebSocket agents, this.setState, this.sql, this.schedule, schedule tasks, cron agents, run workflows, agent workflows, browse web, puppeteer agents, browser rendering, rag agents, vectorize agents, embeddings, mcp server, McpAgent, mcp tools, model context protocol, routeAgentRequest, getAgentByName, useAgent hook, AgentClient, agentFetch, useAgentChat, AIChatAgent, chat agents, streaming chat, human in the loop, hitl agents, multi-agent, agent orchestration, autonomous agents, long-running agents, AI SDK, Workers AI, "Agent class must extend", "new_sqlite_classes", "migrations required", "binding not found", "agent not exported", "callback does not exist", "state limit exceeded"

Complete knowledge domain for Cloudflare Browser Rendering - Headless Chrome automation with Puppeteer and Playwright on Cloudflare Workers for screenshots, PDFs, web scraping, and browser automation workflows. Use when: taking screenshots, generating PDFs from HTML or URLs, web scraping content, crawling websites, browser automation tasks, testing web applications, managing browser sessions, performing batch browser operations, integrating with AI for content extraction, or encountering browser rendering errors, XPath selector errors, browser timeout issues, concurrency limits, memory exceeded errors, or "Cannot read properties of undefined (reading 'fetch')" errors. Keywords: browser rendering cloudflare, @cloudflare/puppeteer, @cloudflare/playwright, puppeteer workers, playwright workers, screenshot cloudflare, pdf generation workers, web scraping cloudflare, headless chrome workers, browser automation, puppeteer.launch, playwright.chromium.launch, browser binding, session management, puppeteer.sessions, puppeteer.connect, browser.close, browser.disconnect, XPath not supported, browser timeout, concurrency limit, keep_alive, page.screenshot, page.pdf, page.goto, page.evaluate, incognito context, session reuse, batch scraping, crawling websites

Complete knowledge domain for Cloudflare Cron Triggers - scheduled execution of Workers using cron expressions for periodic tasks, maintenance jobs, and automated workflows. Use when: scheduling Workers to run periodically, adding cron triggers to Workers, configuring scheduled tasks, testing cron handlers, combining crons with Workflows, enabling Green Compute, handling multiple schedules, or encountering "scheduled handler not found", "cron expression invalid", "changes not propagating", "handler does not export", "timezone issues" errors. Keywords: cloudflare cron, cron triggers, scheduled workers, scheduled handler, periodic tasks, background jobs, scheduled tasks, cron expression, wrangler crons, scheduled event, green compute, workflow triggers, maintenance tasks, scheduled() handler, ScheduledController, UTC timezone

Complete knowledge domain for Cloudflare D1 - serverless SQLite database on Cloudflare's edge network. Use when: creating D1 databases, writing SQL migrations, configuring D1 bindings, querying D1 from Workers, handling SQLite data, building relational data models, or encountering "D1_ERROR", "statement too long", "too many requests queued", migration failures, or query performance issues. Keywords: d1, d1 database, cloudflare d1, wrangler d1, d1 migrations, d1 bindings, sqlite workers, serverless database, edge database, d1 queries, sql cloudflare, prepared statements, batch queries, d1 api, wrangler migrations, D1_ERROR, D1_EXEC_ERROR, statement too long, database bindings, sqlite cloudflare, sql workers api, d1 indexes, query optimization, d1 schema

Comprehensive guide for Cloudflare Durable Objects - globally unique, stateful objects for coordination, real-time communication, and persistent state management. Use when: building real-time applications, creating WebSocket servers with hibernation, implementing chat rooms or multiplayer games, coordinating between multiple clients, managing per-user or per-room state, implementing rate limiting or session management, scheduling tasks with alarms, building queues or workflows, or encountering "do class export", "new_sqlite_classes", "migrations required", "websocket hibernation", "alarm api error", or "global uniqueness" errors. Prevents 15+ documented issues: class not exported, missing migrations, wrong migration type, constructor overhead blocking hibernation, setTimeout breaking hibernation, in-memory state lost on hibernation, outgoing WebSocket not hibernating, global uniqueness confusion, partial deleteAll on KV backend, binding name mismatches, state size limits exceeded, non-atomic migrations, location hints misunderstood, alarm retry failures, and fetch calls blocking hibernation. Keywords: durable objects, cloudflare do, DurableObject class, do bindings, websocket hibernation, do state api, ctx.storage.sql, ctx.acceptWebSocket, webSocketMessage, alarm() handler, storage.setAlarm, idFromName, newUniqueId, getByName, DurableObjectStub, serializeAttachment, real-time cloudflare, multiplayer cloudflare, chat room workers, coordination cloudflare, stateful workers, new_sqlite_classes, do migrations, location hints, RPC methods, blockConcurrencyWhile, "do class export", "new_sqlite_classes", "migrations required", "websocket hibernation", "alarm api error", "global uniqueness", "binding not found"

Complete guide for Cloudflare Email Routing covering both Email Workers (receiving emails) and Send Email bindings (sending emails from Workers). Use when: setting up email routing, creating email workers, processing incoming emails, sending emails from Workers, implementing email allowlists/blocklists, forwarding emails with custom logic, replying to emails automatically, parsing email content, configuring MX records for email, troubleshooting email delivery issues, or encountering email worker errors. Prevents 8 documented issues: "Email Trigger not available" errors, destination address verification bugs, Gmail rate limiting, SPF permerror issues, worker call failures, test event loading issues, activity log discrepancies, and limited debugging on free plans. Keywords: Cloudflare Email Routing, Email Workers, send email, receive email, email forwarding, email allowlist, email blocklist, postal-mime, mimetext, cloudflare:email, EmailMessage, ForwardableEmailMessage, EmailEvent, MX records, SPF, DKIM, email worker binding, send_email binding, wrangler email, email handler, email routing worker, "Email Trigger not available", "failed to call worker", email delivery failed, email not forwarding, destination address not verified

Production-tested integration patterns for connecting React frontends to Cloudflare Worker backends with Hono, Clerk authentication, and D1 databases. Prevents common frontend-backend connection issues, CORS errors, auth token failures, and race conditions. Use when: connecting frontend to backend, implementing auth flow, setting up API calls, troubleshooting CORS, fixing race conditions, auth tokens not passing, frontend-backend connection errors, 401 errors, integrating Clerk with Workers, setting up full-stack Cloudflare app, vite cloudflare plugin setup. Prevents: CORS errors, 401 Unauthorized, auth token mismatches, race conditions with auth loading, environment variable confusion, frontend calling wrong endpoints, JWT verification errors, D1 connection issues. Keywords: frontend backend integration, Cloudflare Workers, Hono, Clerk auth, JWT verification, CORS, React API client, race conditions, auth loading, connection issues, full-stack integration, vite plugin, @cloudflare/vite-plugin, D1 database, environment variables, token attachment, session management, protected routes, API middleware

Complete knowledge domain for Cloudflare Hyperdrive - connecting Cloudflare Workers to existing PostgreSQL and MySQL databases with global connection pooling, query caching, and reduced latency. Use when: connecting Workers to existing databases, migrating PostgreSQL/MySQL to Cloudflare, setting up connection pooling, configuring Hyperdrive bindings, using node-postgres/postgres.js/mysql2 drivers, integrating Drizzle ORM or Prisma ORM, or encountering "Failed to acquire a connection from the pool", "TLS not supported by the database", "connection refused", "nodejs_compat missing", "Code generation from strings disallowed", or Hyperdrive configuration errors. Keywords: hyperdrive, cloudflare hyperdrive, workers hyperdrive, postgres workers, mysql workers, connection pooling, query caching, node-postgres, pg, postgres.js, mysql2, drizzle hyperdrive, prisma hyperdrive, workers rds, workers aurora, workers neon, workers supabase, database acceleration, hybrid architecture, cloudflare tunnel database, wrangler hyperdrive, hyperdrive bindings, local development hyperdrive

This skill provides comprehensive knowledge for Cloudflare Images, covering both the Images API (upload/storage) and Image Transformations (optimize any image). It should be used when uploading images to Cloudflare, resizing images, optimizing image delivery, implementing direct creator uploads, creating image variants, generating signed URLs for private images, transforming images via Workers, or encountering image upload/transformation errors. Use when: setting up Cloudflare Images storage, implementing user-uploaded images, creating responsive images, optimizing image formats (WebP/AVIF), resizing images via URL or Workers, debugging CORS errors with direct uploads, handling image transformation errors (9401-9413), implementing signed URLs, managing image variants, or building image CDNs. Keywords: cloudflare images, image upload cloudflare, imagedelivery.net, cloudflare image transformations, /cdn-cgi/image/, direct creator upload, image variants, cf.image workers, signed urls images, flexible variants, webp avif conversion, responsive images cloudflare, error 5408, error 9401, error 9403, CORS direct upload, multipart/form-data, image optimization cloudflare

Use this skill when building Model Context Protocol (MCP) servers on Cloudflare Workers. This skill should be used when deploying remote MCP servers with TypeScript, implementing OAuth authentication (GitHub, Google, Azure, etc.), using Durable Objects for stateful MCP servers, implementing WebSocket hibernation for cost optimization, or configuring dual transport methods (SSE + Streamable HTTP). The skill prevents 15+ common errors including McpAgent class export issues, OAuth redirect URI mismatches, WebSocket state loss, Durable Objects binding errors, and CORS configuration mistakes. Includes production-tested templates for basic MCP servers, OAuth proxy integration, stateful servers with Durable Objects, and complete wrangler.jsonc configurations. Covers all 4 authentication patterns: token validation, remote OAuth with DCR, OAuth proxy (workers-oauth-provider), and full OAuth provider implementation. Self-contained with Worker and Durable Objects basics. Token efficiency: ~87% savings (40k → 5k tokens). Production tested on Cloudflare's official MCP servers. Keywords: MCP server, Model Context Protocol, cloudflare mcp, mcp workers, remote mcp server, mcp typescript, @modelcontextprotocol/sdk, mcp oauth, mcp authentication, github oauth mcp, durable objects mcp, websocket hibernation, mcp sse, streamable http, McpAgent class, mcp tools, mcp resources, mcp prompts, oauth proxy, workers-oauth-provider, mcp deployment, McpAgent export error, OAuth redirect URI, WebSocket state loss, mcp cors, mcp dcr

Deploy Next.js applications (App Router and Pages Router) to Cloudflare Workers using the OpenNext adapter. This skill should be used when deploying Next.js apps with SSR, ISR, or server components to Cloudflare's serverless platform. It covers setup for both new and existing projects, configuration requirements, development workflows, integration with Cloudflare services (D1, R2, KV, Workers AI), and prevention of 10+ documented errors including worker size limits, runtime compatibility, database connection scoping, and security vulnerabilities. Keywords: Cloudflare Next.js, OpenNext Cloudflare, @opennextjs/cloudflare, Next.js Workers, Next.js App Router Cloudflare, Next.js Pages Router Cloudflare, Next.js SSR Cloudflare, Next.js ISR, server components cloudflare, server actions cloudflare, Next.js middleware workers, nextjs d1, nextjs r2, nextjs kv, Next.js deployment, opennextjs-cloudflare cli, nodejs_compat, worker size limit, next.js runtime compatibility, database connection scoping, Next.js migration cloudflare

Complete knowledge domain for Cloudflare Queues - flexible message queue for asynchronous processing and background tasks on Cloudflare Workers. Use when: creating message queues, async processing, background jobs, batch processing, handling retries, configuring dead letter queues, implementing consumer concurrency, or encountering "queue timeout", "batch retry", "message lost", "throughput exceeded", "consumer not scaling" errors. Keywords: cloudflare queues, queues workers, message queue, queue bindings, async processing, background jobs, queue consumer, queue producer, batch processing, dead letter queue, dlq, message retry, queue ack, consumer concurrency, queue backlog, wrangler queues

Complete knowledge domain for Cloudflare R2 - S3-compatible object storage on Cloudflare's edge network. Use when: creating R2 buckets, uploading files to R2, downloading objects, configuring R2 bindings, setting up CORS, generating presigned URLs, multipart uploads, storing images/assets, managing object metadata, or encountering "R2_ERROR", CORS errors, presigned URL failures, multipart upload issues, or storage quota errors. Keywords: r2, r2 storage, cloudflare r2, r2 bucket, r2 upload, r2 download, r2 binding, object storage, s3 compatible, r2 cors, presigned urls, multipart upload, r2 api, r2 workers, file upload, asset storage, R2_ERROR, R2Bucket, r2 metadata, custom metadata, http metadata, content-type, cache-control, aws4fetch, s3 client, bulk delete, r2 list, storage class

This skill provides comprehensive knowledge for building applications with Cloudflare Sandboxes SDK, which enables secure, isolated code execution in full Linux containers at the edge. It should be used when executing untrusted code, running Python/Node.js scripts, performing git operations, building AI code execution systems, creating interactive development environments, or implementing CI/CD workflows that require full OS capabilities. Use when: Setting up Cloudflare Sandboxes, executing Python/Node.js code safely, managing stateful development environments, implementing AI code interpreters, running shell commands in isolation, handling git repositories programmatically, building chat-based coding agents, creating temporary build environments, processing files with system tools (ffmpeg, imagemagick, etc.), or when encountering issues with container lifecycle, session management, or state persistence. Keywords: cloudflare sandbox, container execution, code execution, isolated environment, durable objects, linux container, python execution, node execution, git operations, code interpreter, AI agents, session management, ephemeral container, workspace, sandbox SDK, @cloudflare/sandbox, exec(), getSandbox(), runCode(), gitCheckout(), ubuntu container

This skill provides comprehensive knowledge for implementing Cloudflare Turnstile, the CAPTCHA-alternative bot protection system. It should be used when integrating bot protection into forms, login pages, signup flows, or any user-facing feature requiring spam/bot prevention. Turnstile runs invisible challenges in the background, maintaining excellent user experience while blocking automated traffic. Use when: Adding bot protection to forms, implementing login security, protecting API endpoints from abuse, migrating from reCAPTCHA/hCaptcha, encountering CSP errors with Turnstile, handling token validation failures, implementing E2E tests with Turnstile, integrating with React/Next.js/Hono applications, or debugging error codes 100*, 300*, 600*. Keywords: turnstile, captcha, bot protection, cloudflare challenge, siteverify, recaptcha alternative, spam prevention, form protection, cf-turnstile, turnstile widget, token validation, managed challenge, invisible challenge, @marsidev/react-turnstile, hono turnstile, workers turnstile

Complete knowledge domain for Cloudflare Vectorize - globally distributed vector database for building semantic search, RAG (Retrieval Augmented Generation), and AI-powered applications. Use when: creating vector indexes, inserting embeddings, querying vectors, implementing semantic search, building RAG systems, configuring metadata filtering, working with Workers AI embeddings, integrating with OpenAI embeddings, or encountering metadata index timing errors, dimension mismatches, filter syntax issues, or insert vs upsert confusion. Keywords: vectorize, vector database, vector index, vector search, similarity search, semantic search, nearest neighbor, knn search, ann search, RAG, retrieval augmented generation, chat with data, document search, semantic Q&A, context retrieval, bge-base, @cf/baai/bge-base-en-v1.5, text-embedding-3-small, text-embedding-3-large, Workers AI embeddings, openai embeddings, insert vectors, upsert vectors, query vectors, delete vectors, metadata filtering, namespace filtering, topK search, cosine similarity, euclidean distance, dot product, wrangler vectorize, metadata index, create vectorize index, vectorize dimensions, vectorize metric, vectorize binding

Production-tested setup for Cloudflare Workers with Hono, Vite, and Static Assets. Use when: creating new Cloudflare Workers projects, setting up Hono routing with Workers, configuring Vite plugin for Workers, adding Static Assets to Workers, deploying with Wrangler, or encountering deployment errors, routing conflicts, or HMR crashes. Prevents 6 documented issues: export syntax errors, Static Assets routing conflicts, scheduled handler errors, HMR race conditions, upload race conditions, and Service Worker format confusion. Keywords: Cloudflare Workers, CF Workers, Hono, wrangler, Vite, Static Assets, @cloudflare/vite-plugin, wrangler.jsonc, ES Module, run_worker_first, SPA fallback, API routes, serverless, edge computing, "Cannot read properties of undefined", "Static Assets 404", "A hanging Promise was canceled", "Handler does not export", deployment fails, routing not working, HMR crashes

Complete knowledge domain for Cloudflare Workers AI - Run AI models on serverless GPUs across Cloudflare's global network. Use when: implementing AI inference on Workers, running LLM models, generating text/images with AI, configuring Workers AI bindings, implementing AI streaming, using AI Gateway, integrating with embeddings/RAG systems, or encountering "AI_ERROR", rate limit errors, model not found, token limit exceeded, or neurons exceeded errors. Keywords: workers ai, cloudflare ai, ai bindings, llm workers, @cf/meta/llama, workers ai models, ai inference, cloudflare llm, ai streaming, text generation ai, ai embeddings, image generation ai, workers ai rag, ai gateway, llama workers, flux image generation, stable diffusion workers, vision models ai, ai chat completion, AI_ERROR, rate limit ai, model not found, token limit exceeded, neurons exceeded, ai quota exceeded, streaming failed, model unavailable, workers ai hono, ai gateway workers, vercel ai sdk workers, openai compatible workers, workers ai vectorize

Complete knowledge domain for Cloudflare Workflows - durable execution framework for building multi-step applications on Workers that automatically retry, persist state, and run for hours or days. Use when: creating long-running workflows, implementing retry logic, building event-driven processes, scheduling multi-step tasks, coordinating between APIs, or encountering "NonRetryableError", "I/O context", "workflow execution failed", "serialization error", or "WorkflowEvent not found" errors. Keywords: cloudflare workflows, workflows workers, durable execution, workflow step, WorkflowEntrypoint, step.do, step.sleep, workflow retries, NonRetryableError, workflow state, wrangler workflows, workflow events, long-running tasks, step.sleepUntil, step.waitForEvent, workflow bindings

Use this skill when integrating Cloudflare Zero Trust Access authentication with Cloudflare Workers applications. Provides Hono middleware setup, manual JWT validation patterns, service token authentication, CORS handling with Access, and multi-tenant configurations. Prevents 8 common errors including CORS preflight blocking (45 min saved), key cache race conditions (20 min), missing JWT headers (30 min), and dev/prod team mismatches (15 min). Saves ~58% tokens (3,250 tokens) and 2.5 hours per implementation. Covers user authentication flows, service-to-service auth, geographic restrictions, role-based access control, and Access policy configuration. Keywords: Cloudflare Access, Zero Trust, Cloudflare Zero Trust Access, Access authentication, JWT validation, access jwt, service tokens, hono cloudflare access, hono-cloudflare-access middleware, workers authentication, protect worker routes, admin authentication, access policy, identity providers, azure ad access, google workspace access, okta access, github access, rbac cloudflare, geographic restrictions, multi-tenant access, cors access, CORS preflight blocked, JWT header missing, access key cache, team mismatch, access claims

Production-tested setup for Content Collections - a TypeScript-first build tool that transforms local content files (Markdown/MDX) into type-safe data collections with automatic validation. Use when: building blogs, documentation sites, or content-heavy applications with Vite + React, setting up MDX content with React components, implementing type-safe content schemas with Zod, migrating from Contentlayer, or encountering TypeScript import errors with content collections. Covers: Vite plugin setup, tsconfig path aliases, collection schemas with Zod validation, MDX compilation with compileMDX, transform functions for computed properties, rehype/remark plugins, React component integration with MDXContent, Cloudflare Workers deployment, and production build optimization. Keywords: content-collections, @content-collections/core, @content-collections/vite, @content-collections/mdx, MDX, markdown, Zod schema validation, type-safe content, frontmatter, compileMDX, defineCollection, defineConfig, Vite plugin, tsconfig paths, .content-collections/generated, MDXContent component, rehype plugins, remark plugins, content schema, document transform, allPosts import, static site generation, blog setup, documentation, Cloudflare Workers static assets, content validation errors, module not found content-collections, path alias not working, MDX type errors, transform function async, collection not updating

Type-safe ORM for Cloudflare D1 databases using Drizzle. This skill provides comprehensive patterns for schema definition, migrations management, type-safe queries, relations, and Cloudflare Workers integration. Use when: building D1 database schemas, writing type-safe SQL queries, managing database migrations with Drizzle Kit, defining table relations, implementing prepared statements, using D1 batch API for transactions, or encountering "D1_ERROR", transaction errors, foreign key constraint failures, migration apply errors, or schema inference issues. Prevents 12 documented issues: D1 transaction errors (SQL BEGIN not supported), foreign key constraint failures during migrations, module import errors with Wrangler, D1 binding not found, migration apply failures, schema TypeScript inference errors, prepared statement caching issues, transaction rollback patterns, TypeScript strict mode errors, drizzle.config.ts not found, remote vs local database confusion, and wrangler.toml vs wrangler.jsonc mixing. Keywords: drizzle orm, drizzle d1, type-safe sql, drizzle schema, drizzle migrations, drizzle kit, orm cloudflare, d1 orm, drizzle typescript, drizzle relations, drizzle transactions, drizzle query builder, schema definition, prepared statements, drizzle batch, migration management, relational queries, drizzle joins, D1_ERROR, BEGIN TRANSACTION d1, foreign key constraint, migration failed, schema not found, d1 binding error

Use this skill when building AI voice agents with the ElevenLabs Agents Platform. This skill covers the complete platform including agent configuration (system prompts, turn-taking, workflows), voice & language features (multi-voice, pronunciation, speed control), knowledge base (RAG), tools (client/server/MCP/system), SDKs (React, JavaScript, React Native, Swift, Widget), Scribe (real-time STT), WebRTC/WebSocket connections, testing & evaluation, analytics, privacy/compliance (GDPR/HIPAA/SOC 2), cost optimization, CLI workflows ("agents as code"), and DevOps integration. Prevents 17+ common errors including package deprecation, Android audio cutoff, CSP violations, missing dynamic variables, case-sensitive tool names, webhook authentication failures, and WebRTC configuration issues. Provides production-tested templates for React, Next.js, React Native, Swift, and Cloudflare Workers. Token savings: ~73% (22k → 6k tokens). Production tested. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication

Use this skill when building MCP (Model Context Protocol) servers with FastMCP in Python. FastMCP is a framework for creating servers that expose tools, resources, and prompts to LLMs like Claude. The skill covers server creation, tool/resource definitions, storage backends (memory/disk/Redis/DynamoDB), server lifespans, middleware system (8 built-in types), server composition (import/mount), OAuth Proxy, authentication patterns, icons, OpenAPI integration, client configuration, cloud deployment (FastMCP Cloud), error handling, and production patterns. It prevents 25+ common errors including storage misconfiguration, lifespan issues, middleware order errors, circular imports, module-level server issues, async/await confusion, OAuth security vulnerabilities, and cloud deployment failures. Includes templates for basic servers, storage backends, middleware, server composition, OAuth proxy, API integrations, testing, and self-contained production architectures. Keywords: FastMCP, MCP server Python, Model Context Protocol Python, fastmcp framework, mcp tools, mcp resources, mcp prompts, fastmcp storage, fastmcp memory storage, fastmcp disk storage, fastmcp redis, fastmcp dynamodb, fastmcp lifespan, fastmcp middleware, fastmcp oauth proxy, server composition mcp, fastmcp import, fastmcp mount, fastmcp cloud, fastmcp deployment, mcp authentication, fastmcp icons, openapi mcp, claude mcp server, fastmcp testing, storage misconfiguration, lifespan issues, middleware order, circular imports, module-level server, async await mcp

Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data. Use when: scraping websites, crawling entire sites, extracting web content, converting HTML to markdown, building web scrapers, handling dynamic JavaScript content, bypassing anti-bot protection, extracting structured data from web pages, or when encountering "content not loading", "JavaScript rendering issues", or "blocked by bot detection". Keywords: firecrawl, firecrawl api, web scraping, web crawler, scrape website, crawl website, extract content, html to markdown, site crawler, content extraction, web automation, firecrawl-py, firecrawl-js, llm ready data, structured data extraction, bot bypass, javascript rendering, scraping api, crawling api, map urls, batch scraping

This skill provides comprehensive automation for GitHub repository setup and configuration. It should be used when creating new projects, setting up CI/CD pipelines, configuring issue templates, enabling security scanning, or migrating existing projects to GitHub automation. The skill prevents 18 documented errors in GitHub Actions YAML syntax, workflow configuration, issue template structure, Dependabot setup, and CodeQL security scanning. It includes 12 production-tested workflow templates, 4 issue templates, security configurations, and automation scripts for rapid project setup. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot, configuring CodeQL scanning, automating GitHub repository setup, fixing YAML syntax errors, integrating security scanning, deploying to Cloudflare Workers via GitHub Actions, or implementing multi-framework testing matrices. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error

Complete guide for Google Gemini API using the CORRECT current SDK (@google/genai v1.27+, NOT the deprecated @google/generative-ai). Covers text generation, multimodal inputs (text + images + video + audio + PDFs), function calling, thinking mode, streaming, and system instructions with accurate 2025 model information (Gemini 2.5 Pro/Flash/Flash-Lite with 1M input tokens, NOT 2M). Use when: integrating Gemini API, implementing multimodal AI applications, using thinking mode for complex reasoning, function calling with parallel execution, streaming responses, deploying to Cloudflare Workers, building chat applications, or encountering SDK deprecation warnings, context window errors, model not found errors, function calling failures, or multimodal format errors. Keywords: gemini api, @google/genai, gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, multimodal gemini, thinking mode, google ai, genai sdk, function calling gemini, streaming gemini, gemini vision, gemini video, gemini audio, gemini pdf, system instructions, multi-turn chat, DEPRECATED @google/generative-ai, gemini context window, gemini models 2025, gemini 1m tokens, gemini tool use, parallel function calling, compositional function calling

This skill provides complete coverage of Google Gemini embeddings API (gemini-embedding-001) for building RAG systems, semantic search, document clustering, and similarity matching. Use when implementing vector search with Google's embedding models, integrating with Cloudflare Vectorize, or building retrieval-augmented generation systems. Covers SDK usage (@google/genai), fetch-based Workers implementation, batch processing, 8 task types (RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARITY, etc.), dimension optimization (128-3072), and cosine similarity calculations. Prevents 8+ embedding-specific errors including dimension mismatches, incorrect task types, rate limiting issues (100 RPM free tier), vector normalization mistakes, text truncation (2,048 token limit), and model version confusion. Includes production-ready RAG patterns with Cloudflare Vectorize integration, chunking strategies, and caching patterns. Token savings: ~60%. Production tested. Keywords: gemini embeddings, gemini-embedding-001, google embeddings, semantic search, RAG, vector search, document clustering, similarity search, retrieval augmented generation, vectorize integration, cloudflare vectorize embeddings, 768 dimensions, embed content gemini, batch embeddings, embeddings api, cosine similarity, vector normalization, retrieval query, retrieval document, task types, dimension mismatch, embeddings rate limit, text truncation, @google/genai

This skill provides comprehensive knowledge for building type-safe APIs with Hono, focusing on routing patterns, middleware composition, request validation, RPC client/server patterns, error handling, and context management. Use when: building APIs with Hono (any runtime), setting up request validation with Zod/Valibot/Typia/ArkType validators, creating type-safe RPC client/server communication, implementing custom middleware, handling errors with HTTPException, extending Hono context with custom variables, or encountering middleware type inference issues, validation hook confusion, or RPC performance problems. Keywords: hono, hono routing, hono middleware, hono rpc, hono validator, zod validator, valibot validator, type-safe api, hono context, hono error handling, HTTPException, c.req.valid, middleware composition, hono hooks, typed routes, hono client, middleware response not typed, hono validation failed, hono rpc type inference

This skill provides comprehensive knowledge for integrating Neon serverless Postgres and Vercel Postgres (which is built on Neon infrastructure) into web applications. It should be used when setting up serverless Postgres databases, configuring connection pooling for edge and serverless environments, implementing database branching workflows, or troubleshooting Postgres connection issues in Cloudflare Workers, Vercel Edge Functions, or Node.js serverless functions. Use this skill when: - Setting up Neon Postgres for Cloudflare Workers, Vercel Edge, or serverless environments - Configuring Vercel Postgres for Next.js applications - Implementing database branching workflows (git-like database branches) - Integrating Drizzle ORM or Prisma with Neon/Vercel Postgres - Debugging connection pool errors, transaction timeouts, or SSL configuration issues - Migrating from D1/SQLite to Postgres or from traditional Postgres to serverless Postgres - Setting up point-in-time restore (PITR) or database backups - Encountering errors like "connection pool exhausted", "TCP connections not supported in serverless", or "sslmode required" Keywords: neon postgres, @neondatabase/serverless, @vercel/postgres, serverless postgres, postgres edge, neon branching, vercel database, http postgres, websocket postgres, pooled connection, drizzle neon, prisma neon, postgres cloudflare, postgres vercel edge, sql template tag, neonctl, database branches, point in time restore, postgres migrations, serverless sql, edge database, neon api, vercel sql

Use this skill for Next.js App Router patterns, Server Components, Server Actions, Cache Components, and framework-level optimizations. Covers Next.js 16 breaking changes including async params, proxy.ts migration, Cache Components with "use cache", and React 19.2 integration. For deploying to Cloudflare Workers, use the cloudflare-nextjs skill instead. This skill is deployment-agnostic and works with Vercel, AWS, self-hosted, or any platform. Keywords: Next.js 16, Next.js App Router, Next.js Pages Router, Server Components, React Server Components, Server Actions, Cache Components, use cache, Next.js 16 breaking changes, async params nextjs, proxy.ts migration, React 19.2, Next.js metadata, Next.js SEO, generateMetadata, static generation, dynamic rendering, streaming SSR, Suspense, parallel routes, intercepting routes, route groups, Next.js middleware, Next.js API routes, Route Handlers, revalidatePath, revalidateTag, next/navigation, useSearchParams, turbopack, next.config

Complete guide for OpenAI's Assistants API v2: stateful conversational AI with built-in tools (Code Interpreter, File Search, Function Calling), vector stores for RAG (up to 10,000 files), thread/run lifecycle management, and streaming patterns. Both Node.js SDK and fetch approaches. ⚠️ DEPRECATION NOTICE: OpenAI plans to sunset Assistants API in H1 2026 in favor of Responses API. This skill remains valuable for existing apps and migration planning. Use when: building stateful chatbots with OpenAI, implementing RAG with vector stores, executing Python code with Code Interpreter, using file search for document Q&A, managing conversation threads, streaming assistant responses, or encountering errors like "thread already has active run", vector store indexing delays, run polling timeouts, or file upload issues. Keywords: openai assistants, assistants api, openai threads, openai runs, code interpreter assistant, file search openai, vector store openai, openai rag, assistant streaming, thread persistence, stateful chatbot, thread already has active run, run status polling, vector store error

This skill provides comprehensive knowledge for working with OpenAI's Responses API, the unified stateful API for building agentic applications. It should be used when building AI agents that preserve reasoning across turns, integrating MCP servers for external tools, using built-in tools (Code Interpreter, File Search, Web Search, Image Generation), managing stateful conversations, implementing background processing, or migrating from Chat Completions API. Use when building agentic workflows, conversational AI with memory, tools-based applications, RAG systems, data analysis agents, or any application requiring OpenAI's reasoning models with persistent state. Covers both Node.js SDK and Cloudflare Workers implementations. Keywords: responses api, openai responses, stateful openai, openai mcp, code interpreter openai, file search openai, web search openai, image generation openai, reasoning preservation, agentic workflows, conversation state, background mode, chat completions migration, gpt-5, polymorphic outputs

Manages session state and context handoffs for multi-session projects using the Session Handoff Protocol. Creates and maintains SESSION.md to track phase progress, git checkpoints, and next actions across context clears. Integrates with project-planning skill to convert IMPLEMENTATION_PHASES.md into trackable session state. Use when starting new projects after planning, resuming work after context clear, or managing complex multi-phase implementations. Keywords: session management, SESSION.md, session handoff protocol, context handoff, multi-session projects, phase tracking, git checkpoints, session state tracking, resume work, context clear, phase progress tracking, implementation phases, verification stage, debugging stage, next action tracking, work continuity, session recovery, context management, phased implementation tracking

This skill provides comprehensive knowledge for building type-safe, validated forms in React using React Hook Form and Zod schema validation. Use when: building forms with validation in React, integrating Zod schema validation with React Hook Form, using shadcn/ui Form or Field components, implementing client and server-side validation with a single schema, handling complex validation scenarios (nested objects, arrays, conditional fields, async validation), building multi-step forms or wizards, implementing dynamic form fields with useFieldArray, optimizing form performance and re-renders, ensuring accessible form error handling, or debugging form validation issues. Keywords: react-hook-form, useForm, zod validation, zodResolver, @hookform/resolvers, form schema, register, handleSubmit, formState, useFieldArray, useWatch, useController, Controller, shadcn form, Field component, client server validation, nested validation, array field validation, dynamic fields, multi-step form, async validation, zod refine, z.infer, form error handling, uncontrolled to controlled, resolver not found, schema validation error

Complete Sveltia CMS skill for lightweight, Git-backed content management. Sveltia is the modern successor to Decap/Netlify CMS with 5x smaller bundle (300 KB), faster GraphQL-based performance, and solves 260+ predecessor issues. Use this skill when setting up Git-based CMS for static sites (Hugo, Jekyll, 11ty, Gatsby, Astro, SvelteKit, Next.js), blogs, documentation sites, marketing sites, or migrating from Decap/Netlify CMS. Framework-agnostic with first-class i18n support and mobile-friendly editing interface. Prevents 8+ common errors including OAuth authentication failures, TOML formatting issues, YAML parse errors, CORS/COOP policy problems, content not listing, script loading errors, image upload failures, and deployment problems. Includes complete Keywords: Sveltia CMS, Git-backed CMS, Decap CMS alternative, Netlify CMS alternative, headless CMS, static site CMS, Hugo CMS, Jekyll CMS, 11ty CMS, Gatsby CMS, Astro CMS, SvelteKit CMS, Next.js CMS, content management, visual editing, markdown CMS, YAML frontmatter, i18n CMS, multilingual CMS, mobile-friendly CMS, OAuth authentication CMS, TOML config, admin/config.yml, GraphQL performance, cloudflare workers oauth proxy, OAuth authentication failure, YAML parse error, CORS COOP policy, content not listing, image upload failures Cloudflare Workers OAuth proxy setup guide.

Production-tested setup for Tailwind CSS v4 with shadcn/ui, Vite, and React. Use when: initializing React projects with Tailwind v4, setting up shadcn/ui, implementing dark mode, debugging CSS variable issues, fixing theme switching, migrating from Tailwind v3, or encountering color/theming problems. Covers: @theme inline pattern, CSS variable architecture, dark mode with ThemeProvider, component composition, vite.config setup, common v4 gotchas, and production-tested patterns. Keywords: Tailwind v4, shadcn/ui, @tailwindcss/vite, @theme inline, dark mode, CSS variables, hsl() wrapper, components.json, React theming, theme switching, colors not working, variables broken, theme not applying, @plugin directive, typography plugin, forms plugin, prose class, @tailwindcss/typography, @tailwindcss/forms

This skill provides comprehensive knowledge for TanStack Query v5 (React Query) server state management in React applications. It should be used when setting up data fetching with useQuery, implementing mutations with useMutation, configuring QueryClient, managing caching strategies, migrating from v4 to v5, implementing optimistic updates, using infinite queries, or encountering query/mutation errors. Use when: initializing TanStack Query in React projects, configuring QueryClient settings, creating custom query hooks, implementing mutations with error handling, setting up optimistic updates, using useInfiniteQuery for pagination, migrating from React Query v4 to v5, debugging stale data issues, fixing caching problems, resolving v5 breaking changes, implementing suspense queries, or setting up query devtools. Keywords: TanStack Query, React Query, useQuery, useMutation, useInfiniteQuery, useSuspenseQuery, QueryClient, QueryClientProvider, data fetching, server state, caching, staleTime, gcTime, query invalidation, prefetching, optimistic updates, mutations, query keys, query functions, error boundaries, suspense, React Query DevTools, v5 migration, v4 to v5, request waterfalls, background refetching, cacheTime renamed, loading status renamed, pending status, initialPageParam required, keepPreviousData removed, placeholderData, query callbacks removed, onSuccess removed, onError removed, object syntax required

Complete TinaCMS skill for building content-heavy sites with Git-backed CMS. Use this skill when setting up blogs, documentation sites, or marketing sites that require visual editing and content management for non-technical users. Supports Next.js (App Router + Pages Router), Vite + React, Astro, and framework-agnostic setups. Prevents 9+ common errors including ESbuild compilation issues, module resolution problems, schema configuration errors, Docker binding issues, and deployment problems. Self-hosting options for Cloudflare Workers, Vercel Functions, and Netlify Functions included. Keywords: TinaCMS, Tina CMS, Git-backed CMS, visual editing CMS, content management, Next.js CMS, App Router TinaCMS, Pages Router TinaCMS, Vite React TinaCMS, Astro TinaCMS, framework-agnostic CMS, TinaCloud, self-hosted TinaCMS, blog CMS, documentation site CMS, marketing site CMS, GraphQL CMS, tina schema, tina collections, tina templates, tinacli, @tinacms/cli, ESbuild compilation error, module resolution tina, schema configuration, Docker binding issues, Cloudflare Workers TinaCMS, Vercel Functions TinaCMS, Netlify Functions TinaCMS

Use this skill when building MCP (Model Context Protocol) servers with TypeScript on Cloudflare Workers. This skill provides production-tested patterns for implementing tools, resources, and prompts using the official @modelcontextprotocol/sdk. It prevents 10+ common errors including export syntax issues, schema validation failures, memory leaks from unclosed transports, CORS misconfigurations, and authentication vulnerabilities. This skill should be used when developers need stateless MCP servers for API integrations, external tool exposure, or serverless edge deployments. For stateful agents with WebSockets and persistent storage, consider the Cloudflare Agents SDK instead. Supports multiple authentication methods (API keys, OAuth, Zero Trust), Cloudflare service integrations (D1, KV, R2, Vectorize), and comprehensive testing strategies. Production tested with token savings of ~70% vs manual implementation. Keywords: mcp, model context protocol, typescript mcp, cloudflare workers mcp, mcp server, mcp tools, mcp resources, mcp sdk, @modelcontextprotocol/sdk, hono mcp, streamablehttpservertransport, mcp authentication, mcp cloudflare, edge mcp server, serverless mcp, typescript mcp server, mcp api, llm tools, ai tools, cloudflare d1 mcp, cloudflare kv mcp, mcp testing, mcp deployment, wrangler mcp, export syntax error, schema validation error, memory leak mcp, cors mcp, rate limiting mcp

This skill provides comprehensive knowledge for integrating Vercel Blob object storage into Vercel applications. It should be used when setting up file uploads, managing images and documents, implementing CDN-delivered assets, or handling large files in Next.js serverless and edge functions. Use this skill when: - Setting up file uploads for Next.js applications (images, PDFs, videos) - Implementing client-side uploads with presigned URLs - Managing user-generated content (avatars, attachments, media) - Building file management features (list, download, delete) - Migrating from Cloudflare R2 to Vercel Blob - Encountering errors like "BLOB_READ_WRITE_TOKEN not set", "file size limit exceeded", or "client upload token errors" - Need simple object storage with automatic CDN distribution Keywords: vercel blob, @vercel/blob, vercel storage, vercel file upload, vercel cdn, blob storage vercel, client upload vercel, presigned url vercel, file upload nextjs, image upload vercel, pdf upload, video upload, user uploads, multipart upload, streaming upload, blob cdn, vercel assets, file download

This skill provides comprehensive knowledge for integrating Vercel KV (Redis-compatible key-value storage powered by Upstash) into Vercel applications. It should be used when setting up Vercel KV for Next.js applications, implementing caching patterns, managing sessions, or handling rate limiting in edge and serverless functions. Use this skill when: - Setting up Vercel KV for Next.js applications - Implementing caching strategies (page cache, API cache, data cache) - Managing user sessions or authentication tokens in serverless environments - Building rate limiting for APIs or features - Storing temporary data with TTL (time-to-live) - Migrating from Cloudflare KV to Vercel KV - Encountering errors like "KV_REST_API_URL not set", "rate limit exceeded", or "JSON serialization errors" - Need Redis-compatible API with strong consistency (vs eventual consistency) Keywords: vercel kv, @vercel/kv, vercel redis, upstash vercel, kv vercel, redis vercel edge, key-value vercel, vercel cache, vercel sessions, vercel rate limit, redis upstash, kv storage, edge kv, serverless redis, vercel ttl, vercel expire, kv typescript, next.js kv, server actions kv, edge runtime kv

This skill provides comprehensive knowledge for WordPress plugin development, covering core patterns, security best practices, database interactions, hooks/filters, Settings API, custom post types, REST API, and AJAX. This skill should be used when creating WordPress plugins, troubleshooting security issues, implementing custom post types/taxonomies, building admin interfaces, or working with the WordPress database. Use when: Creating new WordPress plugins, implementing nonces/sanitization/escaping, working with $wpdb and prepared statements, building Settings API pages, registering custom post types or taxonomies, implementing REST API endpoints, handling AJAX requests, debugging plugin activation/deactivation issues, preventing SQL injection/XSS/CSRF vulnerabilities. Keywords: wordpress plugin development, wordpress security, wordpress hooks, wordpress filters, wordpress database, wpdb prepare, sanitize_text_field, esc_html, wp_nonce, custom post type, register_post_type, settings api, rest api, admin-ajax, wordpress sql injection, wordpress xss, wordpress csrf, plugin header, activation hook, deactivation hook, wordpress coding standards, wordpress plugin architecture

Production-tested setup for Zustand state management in React applications with TypeScript. This skill provides comprehensive patterns for building scalable, type-safe global state. Use when: setting up global state in React, migrating from Redux or Context API, implementing state persistence with localStorage, configuring TypeScript with Zustand, using slices pattern for modular stores, adding devtools middleware for debugging, handling Next.js SSR hydration, or encountering hydration errors, TypeScript inference issues, or persist middleware problems. Prevents 5 documented issues: Next.js hydration mismatches, TypeScript double parentheses syntax errors, persist middleware export errors, infinite render loops, and slices pattern type inference failures. Keywords: zustand, state management, React state, TypeScript state, persist middleware, devtools, slices pattern, global state, React hooks, create store, useBoundStore, StateCreator, hydration error, text content mismatch, infinite render, localStorage, sessionStorage, immer middleware, shallow equality, selector pattern, zustand v5

Complete knowledge domain for Cloudflare Workers KV - global, low-latency key-value storage on Cloudflare's edge network. Use when: creating KV namespaces, storing configuration data, caching API responses, managing user preferences, implementing TTL expiration, handling KV metadata, or encountering "KV_ERROR", "429 too many requests", "kv rate limit", cacheTtl errors, or eventual consistency issues. Keywords: kv storage, cloudflare kv, workers kv, kv namespace, kv bindings, kv cache, kv ttl, kv metadata, kv list, kv pagination, cache optimization, edge caching, KV_ERROR, 429 too many requests, kv rate limit, eventually consistent, wrangler kv, kv operations, key value storage

Use this skill when contributing code to open source projects. The skill covers proper pull request creation, avoiding common mistakes that annoy maintainers, cleaning up personal development artifacts before submission, writing effective PR descriptions, following project conventions, and communicating professionally with maintainers. It prevents 16 common contribution mistakes including working on main branch, not testing before PR submission, including unrelated changes, submitting planning documents, session notes, temporary test files, screenshots, and other personal artifacts. Includes 3 Critical Workflow Rules that must NEVER be skipped: (1) Always work on feature branches, (2) Test thoroughly with evidence before PR, (3) Keep PRs focused on single feature. The skill includes automation scripts to validate PRs before submission, templates for PR descriptions and commit messages, and comprehensive checklists. This skill should be used whenever creating pull requests for public repositories, contributing to community projects, or submitting code to projects you don't own. Keywords: open source contributions, github pull request, PR best practices, contribution guidelines, feature branch workflow, PR description, commit messages, open source etiquette, maintainer-friendly PR, PR checklist, clean PR, avoid personal artifacts, session notes cleanup, planning docs cleanup, test before PR, unrelated changes, working on main branch, focused PR, single feature PR, professional communication, community contributions, public repository contributions, fork workflow, upstream sync

Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.

Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.

Prevent request timeouts in Claude Code sessions by chunking long operations, implementing progress checkpoints, using background processes, and optimizing tool usage patterns. Use when performing bulk operations, processing large datasets, running long-running commands, downloading multiple files, or executing tasks that exceed 2-minute timeout limits. Implements strategies like task decomposition, incremental processing, parallel execution, checkpoint-resume patterns, and efficient resource management to ensure reliable completion of complex workflows.

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.

Download videos, audio, playlists, and channels from YouTube and 1000+ websites using yt-dlp. Supports quality selection, format conversion, subtitle download, playlist filtering, metadata extraction, thumbnail download, and batch operations. Use when downloading YouTube videos in any quality (4K, 8K, HDR), extracting audio as MP3/M4A/FLAC, downloading entire playlists/channels, getting subtitles in multiple languages, converting to specific formats, downloading live streams, archiving content, or batch processing multiple URLs. Optimized for reliability with automatic retries, rate limiting, and error handling.

Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, fresh Claude) for second opinions when stuck on bugs or making architectural decisions. Use when: debugging attempts have failed, making significant architectural choices, security concerns, or need fresh perspective. Automatically suggests consultation after one failed attempt. Provides synthesis comparing multiple AI perspectives with web research, thinking mode, and repo-aware analysis.

Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

Creates complete single-file HTML/CSS/JS web apps with localStorage persistence, ADHD-optimized UI (60px+ buttons), dark mode, and offline functionality. Use when user says "create app", "build tool", "make dashboard", or requests any browser-based interface.

Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.

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

Analyzes codebases to generate comprehensive documentation including structure, languages, frameworks, dependencies, design patterns, and technical debt. Use when user says "analyze repository", "understand codebase", "document project", or when exploring unfamiliar code.

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

Build complete UI screens by composing multiple uxscii components. Use when working with .uxm files, when user wants to create, scaffold, or build .uxm screens like login, dashboard, profile, settings, or checkout pages.

Import UI screenshots and generate uxscii components automatically using vision analysis. Use when user wants to import, convert, or generate .uxm components from screenshots or images.

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

Creates minimal working prototypes for quick idea validation. Single-file when possible, includes test data, ready to demo immediately. Use when user says "prototype", "MVP", "proof of concept", "quick demo".

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why is this failing", or when error messages appear like TypeError, ECONNREFUSED, CORS, 404, 500, etc.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research methodologies, analyzing scientific writing quality, or applying structured evaluation criteria to academic work. Provides comprehensive assessment across multiple dimensions including problem formulation, literature review, methodology, data collection, analysis, results interpretation, and scholarly writing quality.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.

Add interaction states like hover, focus, disabled, active, error to existing uxscii components. Use when working with .uxm files, when user wants to expand, enhance, or add states to .uxm components.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Generates production-ready API clients with TypeScript types, retry logic, rate limiting, authentication (OAuth, API keys), error handling, and mock responses. Use when user says "integrate API", "API client", "connect to service", or requests third-party service integration.

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.

Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.

This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.

Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags.

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.

Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did we decide", "recall", "search memories", "any blockers", or when making important architectural decisions. Provides SDAM compensation through external memory.

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.