Agent-Skills.md

Agent Skills: Tracking Crypto Prices

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UncategorizedID: jeremylongshore/claude-code-plugins-plus-skills/tracking-crypto-prices

Repository

jeremylongshore/claude-code-plugins-plus-skills
jeremylongshoreLicense: NOASSERTION
1,723221

Install this agent skill to your local

pnpm dlx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/HEAD/plugins/crypto/market-price-tracker/skills/tracking-crypto-prices

Skill Files

Browse the full folder contents for tracking-crypto-prices.

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plugins/crypto/market-price-tracker/skills/tracking-crypto-prices/SKILL.md

Skill Metadata

Name
tracking-crypto-prices
Description
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Tracking Crypto Prices

Contents

Overview | Prerequisites | Instructions | Output | Error Handling | Examples | Resources

Overview

Foundation skill providing real-time and historical cryptocurrency price data for 10,000+ coins. This is the data layer for the crypto plugin ecosystem -- 10+ other skills depend on it for price information.

Prerequisites

  1. Install dependencies: pip install requests pandas yfinance
  2. Optional: pip install python-dotenv for API key management
  3. Optional: Get free API key from https://www.coingecko.com/en/api for higher rate limits
  4. Add API key to ${CLAUDE_SKILL_DIR}/config/settings.yaml or set COINGECKO_API_KEY env var

Instructions

  1. Check current prices for one or more symbols: 
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbols BTC,ETH,SOL
  2. Use watchlists to scan predefined groups (available: top10, defi, layer2, stablecoins, memecoins): 
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10     # Top 10 by market cap
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist defi      # DeFi tokens
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist layer2    # Layer 2 tokens
  3. Fetch historical data by period or custom date range: 
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 30d
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 90d --output csv
python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --start 2024-01-01 --end 2024-12-31  # 2024 full year
  4. Configure settings by editing ${CLAUDE_SKILL_DIR}/config/settings.yaml to customize cache TTLs, default currency, and custom watchlists. See references/implementation.md for the full configuration reference.

Output

  • Table (default): Symbol, price, 24h change, volume, market cap in formatted columns
  • JSON (--format json): Machine-readable with prices array and metadata
  • CSV (--output csv): OHLCV historical data export to ${CLAUDE_SKILL_DIR}/data/

See ${CLAUDE_SKILL_DIR}/references/implementation.md for detailed output format examples.

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | Unknown symbol: XYZ | Invalid ticker | Check spelling, use --list to search | | Rate limit exceeded | Too many API calls | Wait 60s, or add API key for higher limits | | Network error | No internet | Check connection; cached data used automatically | | Cache stale | Data older than TTL | Shown with warning, refreshes on next call |

The skill auto-manages rate limits: cache first, exponential backoff, yfinance fallback, stale cache as last resort.

Examples

Quick price check:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
# Output: BTC (Bitcoin) $97,234.56 USD +2.34% (24h) | Vol: $28.5B | MCap: $1.92T

Watchlist scan:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10

Historical export:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --period 90d --output csv
# Creates: ${CLAUDE_SKILL_DIR}/data/ETH_90d_[date].csv

Resources

  • ${CLAUDE_SKILL_DIR}/references/implementation.md - Output formats, full config, integration guide, file map
  • CoinGecko API - Primary data source
  • yfinance - Fallback for historical data