name: tracking-crypto-prices description: 'Track real-time cryptocurrency prices across exchanges with historical data and alerts.

Provides price data infrastructure for dependent skills (portfolio, tax, DeFi, arbitrage).

Use when checking crypto prices, monitoring markets, or fetching historical price data.

Trigger with phrases like "check price", "BTC price", "crypto prices", "price history",

"get quote for", "what''s ETH trading at", "show me top coins", or "track my watchlist".

' allowed-tools: Read, Write, Edit, Grep, Glob, Bash(python:*) version: 2.0.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT tags:

• crypto
• monitoring
• tracking-crypto compatibility: Designed for Claude Code, also compatible with Codex and OpenClaw

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

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