Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Guides building original LangGraph agents for Warden Protocol's Agentic Wallet ecosystem. Covers agent architecture, local testing, deployment via LangSmith or self-hosted Docker, and registration in Warden Studio's Agent Hub. Includes structured patterns like Schema-Guided Reasoning for complex multi-step workflows.
Provides concrete architectural patterns and a direct deployment path to Warden Studio's Agent Hub, reducing guesswork in building API-accessible LangGraph agents from scratch.
When to use it
- Building a DeFi yield comparator agent for Warden Protocol
- Deploying a crypto news aggregator to Warden Studio's Agent Hub
- Implementing Schema-Guided Reasoning for a multi-step on-chain analysis agent
- Setting up LangSmith Deployments for a new LangGraph agent
- Participating in the Warden Agent Builder Incentive Programme
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Build a gas price optimizer agent that predicts the best times to transact on Ethereum
- 1Initialize a new LangGraph TypeScript project using the init-agent.py script
- 2Define a 5-step SGR workflow: validate input, extract chain parameters, fetch gas data from an external API, analyze historical patterns, generate a recommendation
- 3Configure environment variables including OPENAI_API_KEY and LANGSMITH_API_KEY in .env
- 4Test the agent locally with npm run dev and verify API responses via curl
- 5Push to GitHub, create a LangSmith Deployment, and register the endpoint in Warden Studio
A deployed LangGraph agent accessible via HTTPS API, listed in Warden Studio's Agent Hub with name, description, and capabilities documented
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.