Agent SDK

claude-api helps with Anthropic Claude API patterns for Python and TypeScript, including install, messages, streaming, tool use, vision, batches, prompt caching, model selection, and Claude Agent SDK workflows.

agent-payment-x402 helps AI agents handle x402 payments with MCP tools, spending caps, recipient allowlists, and non-custodial wallets for paid APIs and agent orchestration.

claude-api is a practical skill for installing and using the Claude API and Anthropic SDKs. It helps developers choose the right SDK or raw HTTP path, detect language-specific docs, and implement streaming, tool use, files, batches, and error handling with less guesswork.

setup-matt-pocock-skills prepares a repo for Matt Pocock’s engineering skills by detecting the issue tracker, mapping triage labels, and locating domain docs before writing the `## Agent skills` block. Use this setup and discovery skill when onboarding a new repo, switching repos, or refreshing agent context for `AGENTS.md`, `CLAUDE.md`, and `docs/agents/`.

chatgpt-apps is the skill for building or fixing ChatGPT Apps SDK projects that pair an MCP server with a widget UI. Use it for docs-aligned setup, tool design, bridge wiring, resource registration, metadata, CSP, and repo validation. It also supports chatgpt-apps for Backend Development when backend and UI must be designed together.

agent-framework-azure-ai-py is a skill for building persistent Azure AI Foundry agents with the Microsoft Agent Framework Python SDK. It covers agent-framework-azure-ai-py install and usage, AzureAIAgentsProvider setup, threaded conversations, hosted tools, MCP integration, streaming runs, and structured outputs for agent orchestration.

agents-sdk helps you build Cloudflare Workers agents with stateful conversations, durable execution, WebSocket or streaming chat, MCP integration, scheduled tasks, and browser automation. This agents-sdk skill focuses on install decisions, configuration, and practical usage for existing or new Workers apps, with guidance for multi-agent systems only when they fit Cloudflare runtime constraints.

The agentic-development skill helps you build AI agents for multi-step orchestration with Pydantic AI in Python or Claude Agent SDK in Node.js. Use it to choose a framework, define tools, and shape typed, production-ready agent workflows.

aws-agentic-ai helps backend developers and platform engineers design, deploy, and operate Amazon Bedrock AgentCore workflows. The aws-agentic-ai skill covers Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Registry, and Evaluations, with practical guidance for auth, tools, deployment, and agent quality checks.

Use the ai-sdk skill to install the core ai package, verify current docs, and apply modern usage patterns for streaming, tools, agents, useChat, and gateway-first setup in full-stack apps.