Use Case
aws-agentcore-langgraph isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Deploy production LangGraph agents on AWS Bedrock AgentCore. Use for (1) multi-agent systems with orchestrator and specialist agent patterns, (2) building stateful agents with persistent cross-session memory, (3) connecting external tools via AgentCore Gateway (MCP, Lambda, APIs), (4) managing shared context across distributed agents, or (5) deploying complex agent ecosystems via CLI with production observability and scaling. This guide covers how to deploy aws-agentcore-langgraph for your team, standardize prompts, and create shared workflows that everyone can use.
Install aws-agentcore-langgraph in your project directory: .claude/skills/aws-agentcore-langgraph/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use aws-agentcore-langgraph in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing aws-agentcore-langgraph
How can my team use aws-agentcore-langgraph together?
Set up aws-agentcore-langgraph for our project so everyone can use it
Create a shared workflow using aws-agentcore-langgraph for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install aws-agentcore-langgraphOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install aws-agentcore-langgraphβ 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/aws-agentcore-langgraph/π‘Extract and place the folder at the path above, then restart your agent.