Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Uniswap Lp Strategy
Comprehensive LP strategy comparison for a token pair — evaluates all versions, fee tiers, range widths, and rebalance approaches side-by-side with APY, IL, gas costs, and risk ratings. Use when the user wants to compare LP options or see a detailed analysis of all strategies.
skill openclawclawhub Free
Comprehensive LP strategy comparison for a token pair — evaluates all versions, fee tiers, range widths, and rebalance approaches side-by-side with APY, IL, gas costs, and risk ratings. Use when the user wants to compare LP options or see a detailed analysis of all strategies.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- wpank
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Produces a comprehensive, multi-strategy comparison for LP positions on a token pair. Unlike optimize-lp which gives a single recommendation, this skill presents all viable strategies side-by-side with detailed pros/cons, enabling the user to make an informed decision. This is the "deep dive" version — use when the user wants to understand all their options, not just the top pick.
When to Use
Activate when the user asks: "Compare LP strategies for ETH/USDC" "What are my options for LPing into X/Y?" "Detailed LP analysis for WETH/USDC" "Show me all fee tiers for this pair" "V2 vs V3 vs V4 comparison for X/Y" "Give me a full breakdown of LP options" "I want to understand the tradeoffs before LPing"
Parameters
ParameterRequiredDefaultHow to Extracttoken0Yes—First tokentoken1Yes—Second tokencapitalNo—Amount available for LPchainNoAll chainsSpecific chain or "all" for cross-chain comparisonstrategiesNoAllSpecific strategies to compare (usually "all")
Workflow
Extract parameters from the user's request. Delegate to pool-researcher: First, get a full pool comparison across all fee tiers and versions via Task(subagent_type:pool-researcher). This provides the data foundation (TVL, volume, APY per pool). Delegate to lp-strategist: Invoke Task(subagent_type:lp-strategist) in comprehensive comparison mode. The agent evaluates every viable combination: V2 full-range (passive) V3 narrow range per fee tier V3 medium range per fee tier V3 wide range per fee tier V4 options (if available) Cross-chain opportunities (if chain="all") Present comparison table with all strategies ranked and annotated with pros/cons.
Output Format
LP Strategy Comparison: WETH/USDC Pair Type: Stable-Volatile (moderate volatility) Best Overall: V3 0.05%, Medium Range (see row 2 below) ┌────┬──────────────────┬────────┬──────────┬───────┬──────────┬──────────┬────────┐ │ # │ Strategy │ Chain │ Fee APY │ IL │ Net APY │ Rebal. │ Risk │ ├────┼──────────────────┼────────┼──────────┼───────┼──────────┼──────────┼────────┤ │ 1 │ V3 0.05% Narrow │ ETH │ 35% │ -12% │ 23% │ Weekly │ HIGH │ │ 2 │ V3 0.05% Medium │ ETH │ 21% │ -6% │ 15% │ Bi-weekly│ MEDIUM │ │ 3 │ V3 0.05% Wide │ ETH │ 12% │ -2% │ 10% │ Monthly │ LOW │ │ 4 │ V3 0.30% Medium │ ETH │ 8% │ -6% │ 2% │ Bi-weekly│ MEDIUM │ │ 5 │ V3 0.05% Medium │ Base │ 18% │ -5% │ 13% │ Bi-weekly│ MEDIUM │ │ 6 │ V2 0.30% Full │ ETH │ 4% │ -1% │ 3% │ Never │ LOW │ └────┴──────────────────┴────────┴──────────┴───────┴──────────┴──────────┴────────┘ Strategy Details: #1 V3 0.05% Narrow (±5%) — HIGH RISK, HIGH REWARD Pros: Highest fee capture, maximum capital efficiency Cons: Frequent rebalancing ($15/rebalance on mainnet), high IL risk Best for: Active managers with >$10K positions Gas warning: Break-even ~3 days per rebalance #2 V3 0.05% Medium (±15%) — RECOMMENDED Pros: Strong APY with manageable rebalancing, 80%+ time-in-range Cons: Moderate IL during large moves Best for: Most LPs with $1K+ positions Gas warning: Break-even ~1 day per rebalance #3 V3 0.05% Wide (±50%) — LOW MAINTENANCE Pros: Rarely needs rebalancing, low IL, almost passive Cons: Lower capital efficiency, lower APY Best for: Passive LPs, small positions where gas matters #6 V2 0.30% Full Range — SET AND FORGET Pros: Zero maintenance, no range management, battle-tested Cons: Lowest returns, less capital efficient Best for: First-time LPs, long-term holders who don't want to manage Ready to proceed? Choose a strategy and say "Add liquidity with strategy #2"
Important Notes
This skill produces analysis, not execution. To act on a strategy, use manage-liquidity. Net APY = Fee APY - Expected IL. Always show both components. Gas costs for rebalancing are factored into the comparison for each chain. Cross-chain comparison (when chain="all") highlights L2 gas advantages. The lp-strategist internally uses pool-researcher for data and risk-assessor for risk evaluation.
Error Handling
ErrorUser-Facing MessageSuggested ActionToken not found"Could not find token X."Provide contract addressNo pools exist"No pools found for X/Y."Try different tokens or chainInsufficient data"Not enough data for a reliable comparison."Pool may be too newAgent unavailable"LP strategist is not available."Check agent configuration
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md