Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
An AI agent that designs, backtests, adapts, and compares yield farming strategies on the Base network. It targets audited USDC vault contracts and generates weighted allocation recommendations based on market conditions, risk tolerance, and time horizon. Strategy execution requires a separate Executor agent with explicit wallet signing.
Strategy generation and execution are decoupled, so allocations can be reviewed and approved before any on-chain transaction is signed.
When to use it
- Allocating $10,000 USDC across Base vaults for a 30-day bull market
- Backtesting a yield strategy against full-year 2024 on-chain data
- Rebalancing vault allocations after market shifts from bull to bear
- Comparing three strategies side-by-side by Sharpe ratio and max drawdown
- Generating a conservative 90-day plan for low-risk capital deployment
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: develop a medium-risk yield strategy for $10,000 over 30 days in a bull market
- 1Calls develop_strategy with marketCondition=bull, riskTolerance=medium, timeHorizon=30d, capital=10000
- 2Receives weighted vault allocation across Seamless, Moonwell, Spark, and Gauntlet USDC contracts
- 3Calls backtest_strategy with the returned strategy and a matching historical date range
- 4Calls evaluate_strategies to score the result on risk-adjusted return and drawdown resilience
A ranked, weighted allocation plan across Base USDC vaults with backtest metrics including total return, annualized return, Sharpe ratio, and max drawdown
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.