tracking-crypto-prices

Tracking Crypto Prices

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Install skill "tracking-crypto-prices" with this command: npx skills add jeremylongshore/claude-code-plugins-plus-skills/jeremylongshore-claude-code-plugins-plus-skills-tracking-crypto-prices

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

  • Install dependencies: pip install requests pandas yfinance

  • Optional: pip install python-dotenv for API key management

  • Optional: Get free API key from https://www.coingecko.com/en/api for higher rate limits

  • Add API key to ${CLAUDE_SKILL_DIR}/config/settings.yaml or set COINGECKO_API_KEY env var

Instructions

  • 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

  • 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

  • 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

  • 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

Source Transparency

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