Use Case
Langgraph Implementation is a powerful AI agent skill that extends your assistant with new capabilities. Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling... This guide walks you through installing Langgraph Implementation, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Langgraph Implementation: npx clawhub@latest --dir ~/.claude/skills install langgraph-implementation
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Langgraph Implementation
Review the output and refine your prompt for better results
Combine Langgraph Implementation with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Langgraph Implementation
Help me get started with Langgraph Implementation
What can Langgraph Implementation do for my data & analytics workflow?
Show me an example of using Langgraph Implementation
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install langgraph-implementationOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install langgraph-implementationβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/langgraph-implementation/π‘Extract and place the folder at the path above, then restart your agent.