langgraph-docs

Name: langgraph-docs
Author: langchain-ai

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

INSTALLATION

npx skills add https://github.com/langchain-ai/deepagents --skill langgraph-docs

Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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.

langgraph-docs

SKILL.md

langgraph-docs

Workflow

1. Fetch the Documentation Index

2. Select Relevant Documentation

3. Fetch and Apply

Let your agent run on any real-world website

Related skills

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