langgraph-docs

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.

Skill by langchain-aiOfficial

IndexedMIT★ 30,550

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/langchain-ai-langgraph-docs

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About

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 cases: backend, agent-building, documentation, agent-orchestration

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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codeload.github.com · found in install command

Files it touches

~/.claude/skills/langgraph-docs

What's inside

Skill 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.
License: MIT
Instructions: 25 lines in SKILL.md · view on GitHub

Files (1)

SKILL.md

SKILL.md (first lines)

# 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.

From langchain-ai/deepagents, MIT.

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Stars: 30,550
Forks: 4,302
Open issues: 163
Last commit (this folder): May 12, 2026 (5 months ago)
Last release: Oct 23, 2026 (3 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/langchain-ai/deepagents
Website: docs.langchain.com/deepagents
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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langgraph-docs skill. Agent Mart. https://agentmart.dev/skills/langchain-ai-langgraph-docs (last updated 2026-10-24)