Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling...
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What Langgraph Implementation can do for your AI workflow
Implements stateful agent directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Langgraph Implementation
Help me get started with Langgraph Implementation
Explains what Langgraph Implementation does, walks through the setup, and runs a quick demo based on your current project
Use Langgraph Implementation to implements stateful agent graphs using LangGraph
Invokes Langgraph Implementation with the right parameters and returns the result directly in the conversation
What can I do with Langgraph Implementation in my data & analytics workflow?
Lists the top use cases for Langgraph Implementation, with example commands for each scenario
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Langgraph Implementation extends your AI assistant with the ability to implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Langgraph Implementation as its underlying capability.
Langgraph Implementation works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Langgraph Implementation once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Langgraph Implementation, copy the skill folder to `~/.claude/skills/langgraph-implementation/` for use across all your projects, or `.claude/skills/langgraph-implementation/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/langgraph-implementation` or just describe your goal and the AI will pick it up automatically.
Langgraph Implementation has 95 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/langgraph-implementation/ for personal use (all projects), or .claude/skills/langgraph-implementation/ for project-specific use. Restart your AI client, then invoke with /langgraph-implementation or let the AI discover it automatically.
Langgraph Implementation supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Langgraph Implementation is free to install. Check the repository for licensing information.
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling...
Implementation Plan
Create detailed implementation plans for software projects β break down features into steps, files, tasks, and executable code.
LangGraph Tutor
Architect and deploy advanced LangGraph AI pipelines with stateful graphs, conditional routing, human-in-the-loop, persistence, and streaming execution featu...
Implementation Readiness Checker
Check whether the project meets the conditions for implementation, and if it is clear what is missing, it should not be started. ; use for implementation, readiness, delivery workflows; do not use for ignoring prerequisites in order to start work, in lieu of formal project approval.
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.
Automate my data & analytics tasks using Langgraph Implementation
Identifies repetitive steps in your workflow and sets up Langgraph Implementation to handle them automatically
Langgraph Implementation is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.