Total 46,704 skills
Showing 12 of 46704 skills
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"
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
Test authenticated routes in the your project using cookie-based authentication. Use this skill when testing API endpoints, validating route functionality, or debugging authentication issues. Includes patterns for using test-auth-route.js and mock authentication.
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
Production-tested setup for AutoAnimate (@formkit/auto-animate) - a zero-config, drop-in animation library that automatically adds smooth transitions when DOM elements are added, removed, or moved. This skill should be used when building UIs that need simple, automatic animations for lists, accordions, toasts, or form validation messages without the complexity of full animation libraries. Use when: Adding smooth animations to dynamic lists, building filter/sort interfaces, creating accordion components, implementing toast notifications, animating form validation messages, needing simple transitions without animation code, working with Vite + React + Tailwind, deploying to Cloudflare Workers Static Assets, or encountering SSR errors with animation libraries. Keywords: auto-animate, @formkit/auto-animate, formkit, zero-config animation, automatic animations, drop-in animation, list animations, accordion animation, toast animation, form validation animation, lightweight animation, 2kb animation, prefers-reduced-motion, accessible animations, vite react animation, cloudflare workers animation, ssr safe animation
Convert video scripts into colloquial expressions more suitable for actual recording, remove formal written language, and enhance naturalness and approachability. Use this skill when the user mentions terms like "video script", "recording", "colloquial", "more natural", "like speaking", or "too formal/written-style".
A Pythonic interface to the HDF5 binary data format. It allows you to store huge amounts of numerical data and easily manipulate that data from NumPy. Features a hierarchical structure similar to a file system. Use for storing datasets larger than RAM, organizing complex scientific data hierarchically, storing numerical arrays with high-speed random access, keeping metadata attached to data, sharing data between languages, and reading/writing large datasets in chunks.
A Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Great for exploring relationships between variables and visualizing distributions. Use for statistical data visualization, exploratory data analysis (EDA), relationship plots, distribution plots, categorical comparisons, regression visualization, heatmaps, cluster maps, and creating publication-quality statistical graphics from Pandas DataFrames.
Protein Dynamics, Evolution, and Structure analysis. Specialized in Normal Mode Analysis (NMA) using Anisotropic (ANM) and Gaussian Network Models (GNM). Features tools for structural ensemble analysis, PCA, and co-evolutionary analysis (Evol). Use for protein flexibility prediction, collective motions, structural ensemble comparison, hinge region identification, binding site analysis, MD trajectory filtering, and evolutionary analysis.
Library for bioinformatics and community ecology statistics. Provides data structures and algorithms for sequences, alignments, phylogenetics, and diversity analysis. Essential for microbiome research and ecological data science. Use for alpha/beta diversity metrics, ordination (PCoA), phylogenetic trees, sequence manipulation (DNA/RNA/Protein), distance matrices, PERMANOVA, and community ecology analysis.
Advanced sub-skill for PyTorch focused on deep research and production engineering. Covers custom Autograd functions, module hooks, advanced initialization, Distributed Data Parallel (DDP), and performance profiling.
Quickly set up golangci-lint environment for Go projects. Auto-detect version, create config, integrate CI, generate smart ignore rules, ensure existing code passes safely.