Optimizing DeFi Yields
SkillDev tools'Find and compare DeFi yield opportunities across protocols with APY
Use Optimizing DeFi Yields in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Optimizing DeFi Yields skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/optimizing-defi-yields/SKILL.md and read by Ahel’s review.
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
-
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 -
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 -
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 -
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 -
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
- DeFiLlama: https://defillama.com/yields - Yield data source
- DeFi Safety: - Protocol security scores
- Impermanent Loss Calculator: Understand LP risks
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Ahel review
K1binfo
installs-packages (in references/errors.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
optimizing-defi-yields- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
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