Analyzing Liquidity Pools

SkillDev tools

Lets your agent analyze DEX liquidity pools for TVL, volume, fees, and impermanent loss.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Analyzing Liquidity Pools skill

About this capability

'Analyze DEX liquidity pools for TVL, volume, fees, impermanent loss,

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/analyzing-liquidity-pools/SKILL.md and read by ahel’s review.

Overview

Analyze DEX liquidity pools across Uniswap, Curve, and Balancer to evaluate TVL, trading volume, fee income, and impermanent loss risk. Compare pools across protocols and chains to identify optimal LP opportunities.

Prerequisites

  • Python 3.8+ installed
  • Internet access for subgraph/API queries
  • Understanding of liquidity providing concepts (IL, fee tiers, TVL)

Instructions

  1. Analyze a specific pool by address or token pair:

    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --pool 0x88e6a0c2ddd26feeb64f039a2c41296fcb3f5640
    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --pair ETH/USDC --protocol uniswap-v3
    
  2. Calculate impermanent loss for a price change:

    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --il-calc --entry-price 2000 --current-price 3000  # 2000/3000 = ETH price at entry/now in USD
    

    Project IL for various scenarios:

    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --il-scenarios --token-pair ETH/USDC
    
  3. Estimate LP returns with fee APR and position projections:

    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --pool [address] --detailed
    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --pool [address] --position 10000  # 10000 = LP position size in USD
    
  4. Compare pools across protocols or fee tiers:

    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --compare --pair ETH/USDC --protocols uniswap-v3,curve,balancer
    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --compare --pair ETH/USDC --fee-tiers 0.05,0.30,1.00
    
  5. Export results to JSON or CSV:

    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --pool [address] --format json --output pool_analysis.json
    python ${CLAUDE_SKILL_DIR}/scripts/pool_analyzer.py --compare --pair ETH/USDC --format csv --output pools.csv
    

Output

Pool analysis reports include chain, TVL, 24h volume, fee tier, fee APR, volume/TVL ratio, and token composition with current price. Impermanent loss reports show IL percentage, dollar impact, HODL vs LP value comparison, and breakeven analysis with days-to-recover based on fee income.

See ${CLAUDE_SKILL_DIR}/references/implementation.md for detailed output format examples.

Error Handling

ErrorCauseFix
Pool not foundWrong address or chainVerify address and target chain
Subgraph timeoutAPI latency or downtimeUses cached data with warning
Invalid pairUnsupported protocolCheck supported protocols list

Examples

Analyze top ETH/USDC pool - Full TVL, volume, and fee breakdown on Uniswap V3:

python pool_analyzer.py --pair ETH/USDC --protocol uniswap-v3 --chain ethereum

Calculate IL for 2x price increase - See dollar impact vs holding:

python pool_analyzer.py --il-calc --entry-price 100 --current-price 200  # 100/200 = token price at entry/now in USD

Compare Uniswap fee tiers - Find optimal fee tier for ETH/USDC:

python pool_analyzer.py --compare --pair ETH/USDC --fee-tiers 0.05,0.30,1.00

Export all ETH pairs - Dump pool data for further analysis:

python pool_analyzer.py --token ETH --format json --output eth_pools.json

Resources

Signals

GitHub stars
3k
Forks
396
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
analyzing-liquidity-pools
Source
github.com/jeremylongshore/tons-of-skills-marketplace