langgraph-docs
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npx mdskill add langchain-ai/deepagents/langgraph-docsGenerate code and guidance for building complex, stateful agents using LangGraph workflows.
- Addresses questions about graph agents, state machines, and agent orchestration patterns.
- Integrates with LangChain documentation via URL fetching capabilities.
- Selects and fetches the most relevant documentation pages based on query intent.
- Presents comprehensive answers by synthesizing content from multiple documentation sources.
SKILL.md
.github/skills/langgraph-docsView on GitHub ↗
--- name: langgraph-docs description: Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance. --- # langgraph-docs ## Workflow ### 1. Fetch the Documentation Index Use `fetch_url` to read: https://docs.langchain.com/llms.txt This returns a structured list of all available documentation with descriptions. ### 2. Select Relevant Documentation Identify 2-4 most relevant URLs from the index. Prioritize: - **Implementation questions** — specific how-to guides - **Conceptual questions** — core concept pages - **End-to-end examples** — tutorials - **API details** — reference docs ### 3. Fetch and Apply Use `fetch_url` on the selected URLs, then complete the user's request using the documentation content. If `fetch_url` fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.
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