optimizing-staking-rewards
Compare and optimize staking rewards across validators, protocols, and blockchains with risk assessment. Use when analyzing staking opportunities, comparing validators, calculating staking rewards, or optimizing PoS yields. Trigger with phrases like "optimize staking", "compare staking", "best staking APY", "liquid staking", "validator comparison", "staking rewards", or "ETH staking options".
Allowed Tools
Provided by Plugin
staking-rewards-optimizer
Optimize staking rewards across multiple protocols and chains
Installation
This skill is included in the staking-rewards-optimizer plugin:
/plugin install staking-rewards-optimizer@claude-code-plugins-plusClick to copy
Instructions
Optimizing Staking Rewards
Overview
Analyze staking opportunities across PoS blockchains and liquid staking protocols. Compares APY/APR, calculates net yields after fees, assesses protocol risks, and recommends optimal allocations.
Prerequisites
- Python 3.8+ installed
- Dependencies:
pip install requests - Network access to DeFiLlama APIs
- Optional: CoinGecko API key for higher rate limits
Instructions
- Compare staking options for a specific asset:
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --asset ETH
Shows protocol name, type (native vs liquid), gross/net APY, risk score, TVL, and lock-up period.
- Analyze with position size for gas-adjusted yields:
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --asset ETH --amount 10
Calculates effective APY accounting for gas costs and projects returns at 1M, 3M, 6M, and 1Y.
- Optimize existing portfolio with current positions:
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --optimize \
--positions "10 ETH @ lido 4.0%, 100 ATOM @ native 18%, 50 DOT @ native 14%"
Suggests higher-yield alternatives with projected improvement and switching costs.
- Compare protocols or run risk assessment:
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --compare --protocols lido,rocket-pool,frax-ether
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --asset ETH --detailed
- Export results in JSON or CSV:
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --asset ETH --format json --output staking.json
Output
Comparison table ranked by risk-adjusted return (Net APY multiplied by Risk Score / 10), showing native and liquid staking options:
STAKING OPTIONS FOR ETH 2025-01-15 15:30 UTC # 2025 timestamp
Protocol Type Gross APY Net APY Risk TVL Unbond
Frax (sfrxETH) liquid 5.10% 4.59% 7/10 $450M instant
Lido (stETH) liquid 4.00% 3.60% 9/10 $15B instant
Rocket Pool liquid 4.20% 3.61% 8/10 $3B instant
Coinbase cbETH liquid 3.80% 3.42% 9/10 $2B instant
ETH Native native 4.00% 4.00% 10/10 $50B variable
Error Handling
| Error | Cause | Solution |
|---|---|---|
| API timeout | DeFiLlama unreachable | Cached data used with warning |
| Invalid asset | Unknown staking asset | Lists supported assets |
| Rate limited | Too many API calls | Automatic retry with backoff |
| No data found | Protocol not indexed | Falls back to known protocol list |
See ${CLAUDESKILLDIR}/references/errors.md for comprehensive error handling.
Examples
Common staking analysis workflows from single-asset comparison to full portfolio optimization:
# Quick ETH staking comparison
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --asset ETH
# Large position with full risk analysis
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --asset ETH --amount 100 --detailed
# Multi-asset comparison exported to CSV
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --assets ETH,SOL,ATOM --format csv
# Portfolio optimization with current positions
python ${CLAUDE_SKILL_DIR}/scripts/staking_optimizer.py --optimize \
--positions "50 ETH @ lido 3.6%, 500 SOL @ marinade 7.5%" # 500 - minimum stake amount in tokens
Resources
${CLAUDESKILLDIR}/references/implementation.md- Optimization reports, risk assessment details, disclaimers${CLAUDESKILLDIR}/references/errors.md- Comprehensive error handling- DeFiLlama Yields: https://defillama.com/yields
- StakingRewards: https://www.stakingrewards.com
- Lido: https://lido.fi | Rocket Pool: https://rocketpool.net