thedixitjain 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 ETHShows 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 10Calculates 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 --detailedExport 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 ${CLAUDE_SKILL_DIR}/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
${CLAUDE_SKILL_DIR}/references/implementation.md- Optimization reports, risk assessment details, disclaimers${CLAUDE_SKILL_DIR}/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
Source: jeremylongshore/claude-code-plugins-plus-skills → skills/.curated/optimizing-staking-rewards/SKILL.md
Also appears in: jeremylongshore/claude-code-plugins-plus-skills/plugins/crypto/staking-rewards-optimizer/skills/optimizing-staking-rewards/SKILL.md