
optimizing-defi-yields
by jeremylongshore
Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.
SKILL.md
name: optimizing-defi-yields description: | 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".
allowed-tools: Read, Write, Bash(crypto:yield-*) version: 2.0.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT
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
Step 1: Search for Yield Opportunities
Find top yields across all chains:
python {baseDir}/scripts/yield_optimizer.py --top 20
Filter by specific chain:
python {baseDir}/scripts/yield_optimizer.py --chain ethereum --top 10
Step 2: Filter by Criteria
Filter by minimum TVL (for safety):
python {baseDir}/scripts/yield_optimizer.py --min-tvl 10000000 --top 15
Filter by asset type:
python {baseDir}/scripts/yield_optimizer.py --asset USDC --chain ethereum
Filter by protocol:
python {baseDir}/scripts/yield_optimizer.py --protocol aave,compound,curve
Step 3: Apply Risk Filters
Show only audited protocols:
python {baseDir}/scripts/yield_optimizer.py --audited-only --min-tvl 1000000
Filter by risk level:
| Level | Flag | Description |
|---|---|---|
| Low | --risk low | Blue-chip, battle-tested protocols |
| Medium | --risk medium | Established protocols, moderate risk |
| High | --risk high | Newer protocols, higher yields |
python {baseDir}/scripts/yield_optimizer.py --risk low --min-apy 3
Step 4: Analyze Specific Opportunities
Get detailed breakdown for a pool:
python {baseDir}/scripts/yield_optimizer.py --pool "aave-v3-usdc-ethereum" --detailed
Compare specific protocols:
python {baseDir}/scripts/yield_optimizer.py --compare aave,compound,spark --asset USDC
Step 5: Export Results
Export to JSON for further analysis:
python {baseDir}/scripts/yield_optimizer.py --top 50 --format json --output yields.json
Export to CSV:
python {baseDir}/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
==============================================================================
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 {baseDir}/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 {baseDir}/references/examples.md for detailed usage examples.
Quick Examples
Find stablecoin yields:
python yield_optimizer.py --asset USDC,USDT,DAI --min-tvl 10000000
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 {baseDir}/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
- DeFiLlama: https://defillama.com/yields - Yield data source
- DeFi Safety: https://defisafety.com/ - Protocol security scores
- Impermanent Loss Calculator: Understand LP risks
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 1000以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon

