langgraph-docs
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
When & Why to Use This Skill
The langgraph-docs skill is a specialized documentation assistant designed to provide real-time, accurate guidance for the LangGraph framework. By dynamically fetching the latest documentation index and specific guides from official sources, it ensures that developers receive up-to-date information on implementation, core concepts, and API references, effectively bridging the gap between static model knowledge and rapidly evolving software libraries.
Use Cases
- 1. Implementation Support: Quickly retrieve how-to guides and code snippets for building complex agentic workflows using LangGraph nodes, edges, and state management.
- 2. Technical Troubleshooting: Access the latest API references to resolve implementation errors and stay updated on the most recent framework changes or best practices.
- 3. Conceptual Learning: Fetch core concept pages and end-to-end tutorials to help developers understand advanced patterns like persistence, human-in-the-loop, and multi-agent orchestration.
| name | langgraph-docs |
|---|---|
| description | Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance. |
langgraph-docs
Overview
This skill explains how to access LangGraph Python documentation to help answer questions and guide implementation.
Instructions
1. Fetch the Documentation Index
Use the fetch_url tool to read the following URL: https://docs.langchain.com/llms.txt
This provides a structured list of all available documentation with descriptions.
2. Select Relevant Documentation
Based on the question, identify 2-4 most relevant documentation URLs from the index. Prioritize:
- Specific how-to guides for implementation questions
- Core concept pages for understanding questions
- Tutorials for end-to-end examples
- Reference docs for API details
3. Fetch Selected Documentation
Use the fetch_url tool to read the selected documentation URLs.
4. Provide Accurate Guidance
After reading the documentation, complete the users request.