langgraph-docs

该 Skill 先读取 LangGraph 文档索引，再挑选并抓取 2-4 个相关页面，用其中的概念、教程和 API 内容回答 LangGraph、图智能体、状态机、智能体编排及人机协同实现问题；抓取失败时会重试并提示用户。

langchain-ai

热度 46.54

最近更新 2026-10-19 07:49:37

分类：知识依赖：联网浏览搜索应用场景：研究 / 概念解释 / 工作流 / API 集成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add langchain-ai/deepagents/langgraph-docs

Metadata

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.