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langgraph-docs

Retrieve LangGraph documentation pages and synthesize answers from fetched content.

3|Updated Mar 16, 2026
Search Tags:#developer workflow#python#langgraph#api reference#llm tools#implementation guidance#documentation retrieval
One-click install
npx skills add https://github.com/bogware/bog-agents --skill langgraph-docs-bogware
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langgraph-docs
Source: https://github.com/bogware/bog-agents/tree/main/libs/cli/examples/skills/langgraph-docs
Command: npx skills add https://github.com/bogware/bog-agents --skill langgraph-docs-bogware

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps answer LangGraph-related questions with accurate, up-to-date guidance by retrieving the relevant documentation instead of relying on outdated knowledge.

Core Features & Use Cases

  • Documentation-indexed retrieval: Starts from a centralized LangGraph/LangChain docs index to find relevant pages for the user’s question.
  • Targeted multi-page fetching: Selects and loads 2–4 likely relevant URLs to cover both concepts and implementation details.
  • Answer grounded in fetched sources: Produces guidance only after reading the selected documentation so recommendations match current API and practices.

Quick Start

Ask for an implementation approach for a specific LangGraph pattern (for example, “How should I structure a multi-step LangGraph agent with retries and tool calling?”) and the skill will retrieve and synthesize the most relevant LangGraph docs.

Frequently Asked Questions about langgraph-docs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get accurate LangGraph documentation for Python implementation?▼

To find LangGraph API references, this skill fetches the centralized LangGraph docs index, selects 2–4 relevant URLs based on your query, retrieves those pages, and synthesizes the final answer from the fetched content.

What's the best way to structure a multi-step LangGraph agent with retries and tool calling?▼

The best way to structure a multi-step LangGraph agent is to ask this skill for an implementation approach, prompting it to retrieve and synthesize the most relevant LangGraph docs covering both concepts and implementation details for your specific pattern.

Does LangGraph documentation retrieval work for conceptual questions about components and patterns?▼

Yes, LangGraph documentation retrieval works for conceptual questions by fetching targeted pages covering concepts and implementation details, ensuring guidance matches current API and practices.

Can I rely on this for up-to-date LangGraph API usage instead of outdated knowledge?▼

Yes, you can rely on this for up-to-date LangGraph API usage because it produces guidance only after reading the selected documentation, ensuring recommendations match current API and practices rather than outdated knowledge.

How do I find LangGraph API references for specific Python development workflows?▼

To find LangGraph API references, this skill fetches the centralized LangGraph docs index, selects 2–4 relevant URLs based on your query, retrieves those pages, and synthesizes the final answer from the fetched content.

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