langgraph-docs

SKILL.md

Access LangGraph documentation to build stateful agents and multi-agent workflows.

Fetches official LangGraph Python docs covering state machines, graph-based agent design, and human-in-the-loop patterns

Prioritizes relevant documentation by query type: implementation guides for how-to questions, concept pages for theory, tutorials for end-to-end examples, and API references for technical details

Automatically selects 2–4 most relevant documentation URLs and retrieves their content to answer questions about agent orchestration and LangGraph APIs

Falls back to direct documentation link if fetch operations fail, ensuring users can access source material independently

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