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Found 2,503 Skills
Expert Convex backend development for December 2025. Use when (1) Building Convex queries, mutations, or actions, (2) Defining schemas and validators, (3) Integrating Convex with React/Next.js, (4) Implementing authentication with Convex Auth or Clerk, (5) Building AI agents with persistent memory, (6) Using file storage, scheduling, or workflows, (7) Optimizing database queries with indexes, or any Convex backend architecture questions.
Build websites easily with Wix - create, edit, and manage websites using drag-and-drop tools and templates
This skill should be used when the user asks to "implement BRC-100 wallet", "use wallet-toolbox", "TypeScript BSV wallet", "BRC-100 implementation", "desktop wallet", "Electron wallet", "browser wallet", "IndexedDB wallet storage", "wallet actions", "wallet baskets", "UTXO management", "createAction", "listOutputs", "wallet certificates", or needs guidance on building conforming wallets using @bsv/wallet-toolbox.
Apply systems thinking to leadership decisions and produce a Systems Thinking Pack (system boundary, actors & incentives map, feedback loops, second-order effects ledger, leverage points, intervention plan). Use for complex ecosystems, trade-offs, org/process redesign, and preventing unintended consequences.
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
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
Use when a Spec Kit feature has `spec.md` and you need a requirements-quality checklist (clarity, completeness, consistency, measurability, coverage), not implementation/runtime test cases.
Guide for creating GreptimeDB Pipeline, by which user can add a process layer to GreptimeDB between ingestion and storage, to transform data.
Builds performant animations and gesture-driven interactions in React Native (Expo) apps using React Native Reanimated v4 and React Native Gesture Handler (GestureDetector / hook API). Use when implementing UI motion, transitions, layout/entering/exiting animations, CSS-style transitions/animations, interactive gestures (pan/pinch/swipe/drag), scroll-linked animations, worklets/shared values, or debugging animation performance and threading issues.
World-class video directing mastery drawing from cinematic legends like Spielberg, Cameron, Coppola, and Nolan. This skill translates directorial intent into AI video generation, focusing on visual storytelling, emotional pacing, and shot composition. It guides the use of AI tools to orchestrate emotion, not just generate footage. Covers pre-visualization, shot sequencing, and the application of classic techniques—like the Spielberg Face or Cameron Scale—to synthetic media. Emphasizes that in an era of unlimited generative possibility, the director's vision, craft, and understanding of "why" a shot works are more critical than ever.Use when "direct, directing, director, shot, camera angle, camera movement, cinematic, scene, blocking, coverage, composition, visual storytelling, like Spielberg, like Cameron, like Nolan, like Tarantino, like Scorsese, film style, movie style, directing, cinematography, camera, shot-composition, storytelling, film, cinematic, visual-language, blocking, spielberg, cameron, nolan, tarantino, scorsese" mentioned.
Tests applications using the Pest 4 PHP framework. Activates when writing tests, creating unit or feature tests, adding assertions, testing Livewire components, browser testing, debugging test failures, working with datasets or mocking; or when the user mentions test, spec, TDD, expects, assertion, coverage, or needs to verify functionality works.
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.