mcpField
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tracking-crypto-prices

tracking-crypto-prices

github.com/jeremylongshoreOther2.9k343 installsUpdated 2d ago
Repository

About tracking-crypto-prices

Tracking Crypto Prices is a skill for retrieving current and historical cryptocurrency prices, intended for crypto workflows that need market data. It supports watchlists and table, JSON, or CSV output, with caching and fallback handling.

Key features

  1. 01Fetch current prices for coin symbols
  2. 02Query predefined or custom watchlists
  3. 03Retrieve historical prices by period or dates
  4. 04Export results as tables, JSON, or CSV
  5. 05Use cache, backoff, and fallback data

Use cases

  1. 01Check current BTC and ETH prices
  2. 02Scan DeFi or other watchlists
  3. 03Export historical prices for analysis
  4. 04Continue with cached data during network issues

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill tracking-crypto-prices

After installing, type/tracking-crypto-pricesin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

ARD.md
PRD.md
config/
settings.yaml
references/
errors.md
examples.md
implementation.md
scripts/
api_client.py
cache_manager.py
formatters.py
price_tracker.py

Details

From the project README

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

ErrorCauseSolution
Unknown symbol: XYZInvalid tickerCheck spelling, use --list to search
Rate limit exceededToo many API callsWait 60s, or add API key for higher limits
Network errorNo internetCheck connection; cached data used automatically
Cache staleData older than TTLShown 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

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