Imported from jeremylongshore/tons-of-skills-marketplace (plugins/crypto/staking-rewards-optimizer/skills/optimizing-staking-rewards/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill optimizing-staking-rewards. Copyright stays with the author (MIT).

Optimizing Staking Rewards

Name: optimizing-staking-rewards
Author: jeremylongshore

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 ${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

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optimizing-staking-rewards

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