Uniswap Optimize Lp

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.

Security Scan

The skill's declared purpose (optimizing Uniswap LP strategies) matches its instructions and footprint — it's an instruction-only skill that delegates analysis to an lp-strategist subagent and does not request credentials or install code itself.

Purpose & Capability

Name/description align with what the SKILL.md actually does: extract pair/capital/risk params and delegate to an lp-strategist agent to produce LP recommendations. Nothing in the manifest or SKILL.md asks for unrelated capabilities (no cloud keys, no system access).

Instruction Scope

The runtime instructions are narrowly scoped: parameter extraction and delegation to Task(subagent_type:lp-strategist). The only caveat is that the heavy work is done by subagents (lp-strategist -> pool-researcher, risk-assessor). Those subagents may fetch on-chain data or call external APIs; the SKILL.md itself does not request extra files/env or instruct reading local files, but you should verify the subagents' behaviors and data sources before trusting outputs.

Install Mechanism

No install spec and no code files (instruction-only) — low install risk. README shows example npx install commands that fetch a GitHub path; if you choose to run those, inspect the remote repo before executing network installs. The packaged skill here does not download or extract binaries.

Credentials

The skill declares no required environment variables, credentials, or config paths. That is proportionate for a read-only recommendation skill. Note: executing trades or adding liquidity would require separate skills (manage-liquidity) that will need wallet keys — this skill explicitly states it does not execute.

Persistence & Privilege

always:false and no special privileges requested. Autonomous invocation is allowed (platform default) but the skill itself does not request permanent presence or modify other skills' configs.

Assessment

This skill is internally consistent: it only produces strategy recommendations and delegates analysis to an lp-strategist subagent. Before installing or using it, verify the following: (1) inspect the lp-strategist / pool-researcher / risk-assessor implementations or ask the author where they fetch on-chain data (which RPC providers or APIs) and whether any API keys or third-party services are used; (2) never supply private keys or wallet secrets to this skill — execution requires a separate manage-liquidity skill that will need explicit authorization; (3) if you use the README's npx/GitHub install command, review the remote repository contents before running network install commands; (4) treat recommendations as informational — confirm calculations independently before committing funds.

Optimize LP

Overview

Provides 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 — 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.

When to Use

Activate when the user asks:

• "Best LP strategy for ETH/USDC"
• "How should I LP $10K into ETH/USDC?"
• "Tight or wide range for WETH/USDC?"
• "V2 or V3 for this pair?"
• "What fee tier should I use for UNI/WETH?"
• "Optimize my LP approach for X/Y"
• "What range should I set for my ETH/USDC position?"
• "Should I use concentrated liquidity for this pair?"

Parameters

Parameter	Required	Default	How to Extract
token0	Yes	—	First token: "ETH", "WETH", "USDC", or 0x address
token1	Yes	—	Second token
capital	No	—	Amount to LP: "$10K", "5 ETH", "$50,000"
chain	No	ethereum	"ethereum", "base", "arbitrum", etc.
riskTolerance	No	moderate	"conservative", "moderate", "aggressive"

Workflow

1. Extract parameters from the user's request. Identify the token pair, capital amount (if mentioned), chain, and risk tolerance.

2. Delegate to lp-strategist: Invoke Task(subagent_type:lp-strategist) with the parameters. The agent performs a 7-step analysis:

   • Classifies the pair (stable-stable, stable-volatile, volatile-volatile)
   • Evaluates V2 vs V3 vs V4 tradeoffs
   • Selects optimal fee tier with data backing
   • Calculates range width targeting >80% time-in-range
   • Designs rebalance strategy with gas cost analysis
   • Gets independent risk assessment from risk-assessor
   • Produces a recommendation with conservative/moderate/optimistic estimates

3. Present the strategy as a clear, actionable recommendation with specific numbers.

Output Format

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 — good for passive
    Narrow range (±5%): Higher APY but needs weekly rebalancing

  Ready to add liquidity? Say "Add liquidity to WETH/USDC"

Important Notes

• This skill provides a strategy recommendation, not execution. To act on it, use the manage-liquidity skill.
• All APY estimates are based on historical data. Past performance does not guarantee future returns.
• IL estimates are always shown alongside fee APY — never fee APY alone.
• For small positions (<$1K), the recommendation accounts for gas costs eating into returns.
• The lp-strategist internally delegates to pool-researcher for data and risk-assessor for risk evaluation.

Error Handling

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