Use Case
Langgraph Architecture is a powerful AI agent skill that extends your assistant with new capabilities. Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designi... This guide walks you through installing Langgraph Architecture, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Langgraph Architecture: npx clawhub@latest --dir ~/.claude/skills install langgraph-architecture
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Langgraph Architecture
Review the output and refine your prompt for better results
Combine Langgraph Architecture with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Langgraph Architecture
Help me get started with Langgraph Architecture
What can Langgraph Architecture do for my data & analytics workflow?
Show me an example of using Langgraph Architecture
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install langgraph-architectureOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install langgraph-architectureβ 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-architecture/π‘Extract and place the folder at the path above, then restart your agent.