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/langgraph-docs

@2ac7d41
by LangChainlangchain-ai/deepagents30k stars
4,200

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.

Use this Skill: https://skilld.dev/gh/langchain-ai/deepagents/langgraph-docs

This session only. Nothing lands on disk.

SKILL.md

≈79 tokens always: the name and description. ≈198 when used: this file.

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.

Source: SKILL.md on GitHub

No alerts14d5 checks · Risk SAFE
  • Gen Agent Trust Hub14d

    This skill fetches LangGraph documentation from official vendor resources to provide implementation guidance and agent orchestration help. It follows standard patterns for a documentation-retrieval agent using retrieval-augmented generation (RAG).

  • Socket14d

    No alerts

  • Snyk14d

    Risk: LOW · No issues

  • Runlayer7mo

    1 file scanned · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 2ac7d41. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 19 hours ago.

Activeupdated 5 months ago

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