langgraph-docs
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Best use case
langgraph-docs is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "langgraph-docs" skill to help with this workflow task. Context: Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/langgraph-docs/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How langgraph-docs Compares
| Feature / Agent | langgraph-docs | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.
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