optimize-lpGet the optimal LP strategy for a token pair ā 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.
Install via ClawdBot CLI:
clawdbot install wpank/optimize-lpProvides a focused, actionable LP strategy recommendation for a specific token pair. Delegates to the lp-strategist agent, which analyzes pair volatility, evaluates version options, selects the optimal fee tier, calculates the best range width, and designs a rebalance strategy ā all backed by on-chain data and risk analysis.
This skill answers the question: "How should I LP into X/Y?" with a concrete, implementable answer.
Activate when the user asks:
| Parameter | Required | Default | How to Extract |
| -------------- | -------- | ---------- | ------------------------------------------------------- |
| token0 | Yes | ā | First token: "ETH", "WETH", "USDC", or 0x address |
| token1 | Yes | ā | Second token |
| capital | No | ā | Amount to LP: "$10K", "5 ETH", "$50,000" |
| chain | No | ethereum | "ethereum", "base", "arbitrum", etc. |
| riskTolerance | No | moderate | "conservative", "moderate", "aggressive" |
Task(subagent_type:lp-strategist) with the parameters. The agent performs a 7-step analysis:LP Strategy for WETH/USDC
Recommendation: V3, 0.05% fee tier
Pool: 0x88e6A0c2dDD26FEEb64F039a2c41296FcB3f5640 (Ethereum)
Range: $1,668 - $2,258 (±15%, medium strategy)
Expected time-in-range: ~82%
Expected Returns (annualized):
Conservative: 8.5% APY (after IL)
Moderate: 15.2% APY (after IL)
Optimistic: 24.1% APY (after IL)
Expected IL:
Conservative: 2.1%
Moderate: 5.8%
Worst case: 12.3%
Rebalance Strategy:
Trigger: Price within 10% of range boundary
Frequency: Every 2-3 weeks (estimated)
Gas cost: ~$15 per rebalance
Risk Assessment: MEDIUM (approved by risk-assessor)
Alternatives Considered:
V3 0.3%: Lower APY (8%) but less competition
V2: No range management, ~4% APY ā good for passive
Narrow range (±5%): Higher APY but needs weekly rebalancing
Ready to add liquidity? Say "Add liquidity to WETH/USDC"
manage-liquidity skill.pool-researcher for data and risk-assessor for risk evaluation.| Error | User-Facing Message | Suggested Action |
| -------------------- | -------------------------------------------------------- | ------------------------------------ |
| Token not found | "Could not find token X on Uniswap." | Provide contract address |
| No pools exist | "No pools found for X/Y on this chain." | Try different chain or check tokens |
| Insufficient data | "Not enough historical data to produce a reliable strategy." | Pool may be too new |
| Agent unavailable | "LP strategist is not available." | Check agent configuration |
Generated Mar 1, 2026
A crypto investor wants to maximize returns on a token pair like ETH/USDC by providing liquidity on Uniswap. They need a data-driven recommendation on version selection, fee tier, and range width to balance risk and reward, especially when dealing with volatile assets.
A trader holding assets like UNI and WETH seeks to generate passive income through liquidity provision. They require an optimized LP strategy that accounts for market volatility, rebalancing frequency, and gas costs to enhance their overall portfolio performance.
A user wants to provide liquidity for a stable-stable pair such as USDC/DAI on Uniswap. They need guidance on whether to use V2 or V3, along with fee tier selection, to minimize impermanent loss while earning fees in a low-volatility environment.
A financial institution managing large capital allocations aims to deploy funds into Uniswap liquidity pools. They require a sophisticated analysis including risk tolerance assessment, historical data evaluation, and rebalance strategies to ensure compliance and optimize returns.
A project launching a new token needs to establish initial liquidity on Uniswap. They seek recommendations on pool setup, such as version and fee tier, to attract liquidity providers while managing risks associated with price discovery and volatility.
Offer a subscription-based platform where users access advanced LP optimization tools and real-time data analytics. Revenue is generated through tiered subscription plans, providing features like automated strategy updates and personalized risk assessments.
Provide expert consulting services to crypto funds, exchanges, and high-net-worth individuals for custom LP strategy development. Revenue comes from project-based fees or retainer models, focusing on data-backed recommendations and implementation support.
Partner with DeFi protocols, wallets, or trading platforms to embed the LP optimization skill as a value-added feature. Revenue is generated through licensing fees or revenue-sharing models based on user engagement and transaction volumes facilitated.
š¬ Integration Tip
Integrate with on-chain data providers for real-time analytics and ensure seamless parameter extraction from user inputs to enhance accuracy and user experience.
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