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, from project initialization through local testing and deployment. Agents must be API-accessible and can be published to Warden Studio's Agent Hub. The skill covers workflow patterns for simple data fetching and multi-step Schema-Guided Reasoning.
Steers users away from recreating existing example agents and toward the underlying patterns, so they build original, incentive-eligible agents instead of duplicates.
When to use it
- Building a gas price optimizer agent for Warden Protocol
- Creating a DeFi yield comparator using LangGraph
- Deploying a crypto news aggregator to Warden Studio Agent Hub
- Participating in the Warden Agent Builder Incentive Programme
- Structuring a multi-source on-chain data analysis agent
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Build me a DeFi yield comparator agent for Warden
- 1Initializes a new agent project using init-agent.py with a TypeScript or Python template
- 2Defines a LangGraph workflow with validate, extract, fetch, analyze, and generate nodes following the SGR pattern
- 3Implements tool functions to query DeFi protocol APIs and aggregate yield data across sources
- 4Configures .env with required API keys and updates langgraph.json with agent ID and graph path
- 5Tests locally with langgraph dev, deploys via LangSmith Deployments, and registers the API endpoint in Warden Studio
A deployed, API-accessible LangGraph agent that compares DeFi yields and appears in Warden's Agent Hub
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.