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Optimizing defi yields

Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/optimizing-defi-yields

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Install
npx -y skills add ComeOnOliver/skillshub --skill optimizing-defi-yields

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What its author says it does

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Find and compare DeFi yield opportunities across protocols with APY calculations, risk assessment, and optimization recommendations. Use when searching for yield farming opportunities, comparing DeFi protocols, or analyzing APY/APR rates. Trigger with phrases like "find DeFi yields", "compare APY", "best yield farming", "optimize DeFi returns", "stablecoin yields", or "liquidity pool rates".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.6 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Optimizing DeFi Yields

Overview

Find and compare DeFi yield opportunities across protocols. Aggregates data from DeFiLlama and other sources to provide APY/APR comparisons, risk assessments, and optimization recommendations for yield farming strategies.

Prerequisites

Before using this skill, ensure you have:

  • Python 3.8+ installed
  • Internet access for API queries
  • Understanding of DeFi concepts (APY, APR, TVL, impermanent loss)

Instructions

  1. Search for yield opportunities across all chains or filter by a specific chain:
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --top 20
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --chain ethereum --top 10
    
  2. Filter by criteria -- minimum TVL (for safety), asset type, or protocol:
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --min-tvl 10000000 --top 15  # 10000000 = 10M limit
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --asset USDC --chain ethereum
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --protocol aave,compound,curve
    
  3. Apply risk filters -- show only audited protocols or filter by risk level (--risk low, --risk medium, --risk high):
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --audited-only --min-tvl 1000000  # 1000000 = 1M limit
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --risk low --min-apy 3
    
  4. Analyze specific opportunities -- get detailed pool breakdown or compare protocols:
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --pool "aave-v3-usdc-ethereum" --detailed
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --compare aave,compound,spark --asset USDC
    
  5. Export results to JSON or CSV for further analysis:
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --top 50 --format json --output yields.json
    python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --chain ethereum --format csv --output eth_yields.csv
    

Output

Yield Summary Table

==============================================================================
  DEFI YIELD OPTIMIZER                              2026-01-15 15:30 UTC  # 2026 year
==============================================================================

  TOP YIELD OPPORTUNITIES
------------------------------------------------------------------------------
  Protocol       Pool          Chain      TVL        APY    Risk    Score
  Convex        cvxCRV        Ethereum   $450M    12.5%    Low     9.2
  Aave v3       USDC          Ethereum   $2.1B     4.2%    Low     9.8
  Curve         3pool         Ethereum   $890M     3.8%    Low     9.5
  Compound v3   USDC          Ethereum   $1.5B     3.2%    Low     9.6
  Yearn         yvUSDC        Ethereum   $120M     5.1%    Medium  7.8
------------------------------------------------------------------------------

  APY BREAKDOWN (Top Result)
------------------------------------------------------------------------------
  Base APY:     4.5%
  Reward APY:   8.0% (CRV + CVX)
  Total APY:    12.5%
  IL Risk:      None (single-sided)
==============================================================================

Risk Assessment

  RISK ANALYSIS: Convex cvxCRV
------------------------------------------------------------------------------
  Audit Status:    ✓ Audited (Trail of Bits, OpenZeppelin)
  Protocol Age:    3+ years
  TVL:             $450M (stable)
  TVL Trend:       +5% (30d)
  Risk Score:      9.2/10 (Low Risk)

  Risk Factors:
  • Smart contract dependency on Curve
  • CRV/CVX reward token volatility
  • Vote-lock mechanics
==============================================================================

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Common issues:

  • API timeout: Uses cached data with staleness warning
  • No pools found: Broaden search criteria
  • Invalid protocol: Check supported protocols list

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed usage examples.

Quick Examples

Find stablecoin yields:

python yield_optimizer.py --asset USDC,USDT,DAI --min-tvl 10000000  # 10000000 = 10M limit

Low-risk opportunities:

python yield_optimizer.py --risk low --audited-only --min-apy 2

Multi-chain search:

python yield_optimizer.py --chain ethereum,arbitrum,polygon --top 20

Export top yields:

python yield_optimizer.py --top 100 --format json --output all_yields.json

Configuration

Settings in ${CLAUDE_SKILL_DIR}/config/settings.yaml:

  • Default chain: Primary chain to search
  • Cache TTL: How long to cache API responses
  • Risk weights: Customize risk scoring factors
  • Min TVL default: Default minimum TVL filter

Resources

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