optimize-lp

✓Verified·Scanned 2/19/2026

Get the optimal LP strategy for a token pair — recommends version (V2/V3/V4), fee tier, range width, and rebalance approach based on pair characteristics, historical data, and risk tolerance. Use when the user asks how to LP, what range to use, or which version/fee tier is best.

from clawhub.ai·v76ac4fa·5.9 KB·0 installs
Scanned from 0.1.0 at 76ac4fa · Transparency log ↗
$ vett add clawhub.ai/wpank/optimize-lp

Optimize LP

Get the optimal LP strategy for a token pair: version, fee tier, range width, and rebalance approach based on pair characteristics and risk tolerance.

→ SKILL.md — Full skill specification and workflow.

Installation

Install into Claude Code or Cursor with:

npx skills add https://github.com/wpank/Agentic-Uniswap/tree/main/.ai/skills/optimize-lp

Or via Clawhub:

npx clawhub@latest install optimize-lp

When to use

Use this skill when:

  • You want a single best LP strategy recommendation for a given token pair.
  • You need guidance on which version (V2/V3/V4), fee tier, and range width to use.
  • You care about fee APY vs. impermanent loss trade-offs for your risk tolerance.

Example prompts

  • "Given 10,000 USDC and moderate risk tolerance, what is the optimal way to LP USDC/WETH on Arbitrum?"
  • "Design the best LP setup for WBTC/ETH on mainnet, including version, fee tier, and range."
  • "For a conservative strategy, how should I LP USDC/DAI on Base?"