
Optimizing DeFi Yields
FreeMaximize your DeFi returns with yield optimization tools.
Free · Opens the source repo
What Optimizing DeFi Yields does
The Optimizing DeFi Yields skill provides developers and crypto enthusiasts with a powerful tool to discover and analyze yield farming opportunities across various DeFi protocols. By aggregating data from sources like DeFiLlama, it allows users to compare annual percentage yields (APY) and annual percentage rates (APR) while also assessing the associated risks. This skill is particularly useful for those looking to optimize their investment strategies in decentralized finance, as it offers insights into the best yield opportunities based on user-defined criteria.
Users can leverage a variety of filtering options to refine their searches, including minimum total value locked (TVL), asset type, and protocol selection. The skill also includes risk assessment features, enabling users to focus on audited protocols or filter by risk levels. This is crucial for making informed decisions in the volatile world of DeFi, where understanding the risk associated with yield farming is as important as the potential rewards.
The skill is designed for those with a foundational understanding of DeFi concepts, making it suitable for both seasoned investors and newcomers. With the ability to export results in JSON or CSV formats, users can further analyze yield opportunities or integrate the data into their existing workflows. Overall, this skill streamlines the process of finding lucrative DeFi yields, making it an essential tool for anyone serious about maximizing their returns in the DeFi space.
When to use it
Use this skill when you want to explore yield farming options, compare different DeFi protocols, or analyze specific yield rates.
When not to use it
This skill may not be suitable for users unfamiliar with DeFi concepts or those looking for a simple investment without detailed analysis.
What you can build with it
Searching for High APY Opportunities
Use the skill to find the top yield opportunities across multiple chains, filtering by asset type and TVL.
Risk Assessment for Investments
Analyze the risk levels of different protocols to make informed decisions about your yield farming strategies.
Exporting Data for Reporting
Export yield data in JSON or CSV format for integration into reports or further analysis in other tools.
How to install Optimizing DeFi Yields
View source1. Install with the skills CLI
npx skills add jeremylongshore/claude-code-plugins-plus-skills/optimizing-defi-yields --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by jeremylongshoreOptimizing 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
-
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
Frequently asked questions about Optimizing DeFi Yields
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