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Found 1,468 Skills
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
Starchild Auth SDK: add OAuth login to any web app with one SDK. Use when integrating Starchild login into a project (e.g. add Starchild sign-in to my React app, set up OAuth with iamstarchild.com, implement login/logout with Starchild Auth SDK).
AI SDK 6 Beta overview, agents, tool approval, Groq (Llama), and Vercel AI Gateway. Key breaking changes from v5 and new patterns.
Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.
Implement feature flags using the Vercel Flags SDK with server-side evaluation, environment-based toggles, and Vercel Toolbar integration.
Expert integration patterns for Claude API and TypeScript SDK covering Messages API, streaming responses, tool use, error handling, token optimization, and production-ready implementations for building AI-powered applications
Core patterns and best practices for AWS SDK for Java 2.x. Use when configuring AWS service clients, setting up authentication, managing credentials, configuring timeouts, HTTP clients, or following AWS SDK best practices.
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
Expert guidance for building onchain applications with OnchainKit SDK components and utilities
Work with Vercel Sandbox — ephemeral Linux microVMs for running untrusted code, AI agent output, and developer experimentation on Vercel. Use this skill when the user mentions "Vercel Sandbox", "@vercel/sandbox", sandbox microVMs, running code in isolated environments on Vercel, or wants to create/manage/snapshot sandboxes via the TypeScript/Python SDK or Vercel CLI. Also trigger when the user asks about sandbox pricing, resource limits, authentication (OIDC tokens, access tokens), system specifications, CLI commands (`vercel sandbox`), or wants to update the local documentation cache for this skill.
Expert guidance for building MCP (Model Context Protocol) servers using the TypeScript SDK. Use when developing MCP servers, implementing tools/resources/prompts, or working with the @modelcontextprotocol/sdk package. Covers server initialization, request handlers, Zod schemas, error handling, and JSON-RPC patterns.
Make and receive calls, transfer, bridge, and manage call lifecycle with Call Control. Includes application management and call events. This skill provides Python SDK examples.