optimizing-staking-rewards

Optimizing Staking Rewards

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "optimizing-staking-rewards" with this command: npx skills add jeremylongshore/claude-code-plugins-plus-skills/jeremylongshore-claude-code-plugins-plus-skills-optimizing-staking-rewards

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 ${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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

backtesting-trading-strategies

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

svg-icon-generator

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

performance-lighthouse-runner

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

mindmap-generator

No summary provided by upstream source.

Repository SourceNeeds Review