Langgraph docs
Skill ZZy979/agent-demos/langchain/skill/skills/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 ZZy979/agent-demos --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.
- 0 stars0 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
1.1 KB, 193 tokens by cl100k_base, as published. Nobody here has run it
langgraph-docs
Overview
This skill explains how to access LangGraph documentation to help answer questions and guide implementation.
Instructions
1. Fetch the documentation index
Use the fetch_documentation tool to read the following URL: https://langchain-ai.github.io/langgraph/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 and synthesize
Use the fetch_documentation tool to read the selected documentation URLs, then answer the user's question. Give a direct answer first, include the minimum necessary context, and link to the source pages rather than quoting long passages.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.