# Jeremylongshore Claude Code Plugins Plus Skills Optimizing Staking Rewards

> Optimizing Staking Rewards

- Skill: `tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizi-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizi-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizi-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizi-2

---

# 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

1. **Python 3.8+** installed
2. **Dependencies**: `pip install requests`
3. Network access to DeFiLlama APIs
4. Optional: CoinGecko API key for higher rate limits

## Instructions

1. **Compare staking options** for a specific asset:
   ```bash
   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.

2. **Analyze with position size** for gas-adjusted yields:
   ```bash
   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.

3. **Optimize existing portfolio** with current positions:
   ```bash
   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.

4. **Compare protocols or run risk assessment**:
   ```bash
   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
   ```

5. **Export results** in JSON or CSV:
   ```bash
   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:

```bash
# 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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<!-- tomevault:4.0:skill_md:2026-04-11 -->