How do I install the Tracking Crypto Prices skill?

Run npx skillmds@latest add micsapp/tracking-crypto-prices in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Tracking Crypto Prices safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Tracking Crypto Prices?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Tracking Crypto Prices free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Tracking Crypto Prices?

micsapp (@micsapp) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Tracking Crypto Prices by micsapp — Agent Skill

Name: Tracking Crypto Prices
Rating: 4.2 (5 reviews)
Author: micsapp

Tracking Crypto Prices

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".

micsapp Updated Sep 9, 2026 3 repo stars

File contents

Tracking Crypto Prices

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

---name: tracking-crypto-pricesdescription: 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".license: MIT---# Tracking Crypto Prices ## Contents [Overview](#overview) | [Prerequisites](#prerequisites) | [Instructions](#instructions) | [Output](#output) | [Error Handling](#error-handling) | [Examples](#examples) | [Resources](#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: ```bash 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`): ```bash 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: ```bash 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:** ```bash 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:** ```bash python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10 ``` **Historical export:** ```bash 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](https://www.coingecko.com/en/api) - Primary data source - [yfinance](https://github.com/ranaroussi/yfinance) - Fallback for historical data

Frequently asked questions

Tracking Crypto Prices

File contents

Tracking Crypto Prices

Contents

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources

Related skills

Frequently asked questions

How do I install the Tracking Crypto Prices skill?

What does the Tracking Crypto Prices skill do?

Is Tracking Crypto Prices safe to use?

Which AI agents work with Tracking Crypto Prices?

Is Tracking Crypto Prices free to use?

Who published Tracking Crypto Prices?