langgraph-fundamentals: a Claude Code skill by LangChain
Official
For developers building agent workflows in LangGraph with Python or TypeScript. Skip it if you are not using LangGraph or a single prompt or simple chain already does the job.
- Score
- 73of 100
- Rank
- #151of 239
- Installs
- 19Kon skills.sh
- Security
- Clear 5 scanners
- Updated
- 2026
- Context
- ~43tokens always
Install
npx skills add https://github.com/langchain-ai/langchain-skills --skill langgraph-fundamentals Run it in your terminal. View the source
Using the Claude app rather than Claude Code? You can add a skill there too. How to add it in the app
What does langgraph-fundamentals do?
langgraph-fundamentals is a skill from LangChain that teaches Claude the core of LangGraph, which models agent workflows as directed graphs. It walks through a five-step design method: map the steps, classify each as an LLM, data, action or user-input step, design shared state, build nodes, then wire edges and compile. Tables explain when to use add_edge, conditional edges, Command or Send for fan-out, which stream mode to pick, and how to handle errors with retry policies, ToolNode or interrupt(). It warns that Command routing does not cancel static edges, so both paths run. Python and TypeScript references hold the code.
When should you use langgraph-fundamentals?
Use it when
- You are starting a new LangGraph agent
- Your graph runs a node you did not expect
- You need parallel workers with Send
Skip it when
- You are not using LangGraph
- A single prompt or simple chain is enough
What it needs and what it can touch
You need
- A Python or TypeScript project with LangGraph
What it can do
- Reads and edits project files
From reading its instructions, not from running it.
Why it scores 73
Strongest on upkeep (100 of 100), weakest on adoption (38).
Is langgraph-fundamentals safe to install?
Every scanner that checked it passed it. Scanners often miss what other scanners catch, and a skill can change after a scan. Read its source before you install it.
| Scanner | Result | Date |
|---|---|---|
| Gen Agent Trust Hub | Passed | Sep 17, 2026 |
| Socket | Passed | Sep 17, 2026 |
| Snyk | Low risk | Sep 17, 2026 |
| Runlayer | Passed | Mar 4, 2026 |
| ZeroLeaks | Passed | Apr 16, 2026 |
Details
- Installs
- 19,029
- Repository stars
- 1,331
- Last repository change
- Tokens always loaded
- about 43
- Tokens when used
- about 1,419
- License
- MIT
- Data confidence
- High
Did it do the job for you?
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