Langgraph docs
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.From its SKILL.md
npx -y skills add bg-szy/TOP-SKILLS --skill langgraph-docsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.0 KB, 177 tokens by cl100k_base, as published. Nobody here has run it
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.
What ships with it: 1 file
8.8 KB alongside SKILL.md
- skill-report.json8.8 KB