Agent Skill

Crypto Market

Give any AI agent real-time cryptocurrency market intelligence

View on GitHub Agent Skills Spec

What It Does

An open-source Agent Skill that gives AI coding assistants the ability to fetch live crypto data, analyze trends, and compare coins — all outputting structured JSON that agents can parse directly.

Compatible with: Claude Code Cursor VS Code Copilot Gemini CLI Codex 20+ more

Capabilities

💰

Live Prices

Fetch real-time prices for any cryptocurrency with market cap, volume, and 24h change data.

python scripts/fetch_prices.py --coins bitcoin,ethereum
📊

Market Overview

Get a snapshot of the top coins by market cap with global market statistics.

python scripts/market_overview.py --top 10 --global-stats
📈

Trend Analysis

Historical price data with built-in trend detection, volatility scoring, and direction analysis.

python scripts/price_history.py --coin bitcoin --days 30 --analysis
⚖️

Coin Comparison

Compare multiple coins side-by-side across price, volume, market cap, and performance metrics.

python scripts/coin_compare.py --coins bitcoin,ethereum,solana

Installation

1

Clone the skill

git clone https://github.com/JStrait515/crypto-agent-skill.git
2

Install dependencies

pip install -r crypto-market/scripts/requirements.txt
3

Add to your agent

Copy the crypto-market/ folder into your agent's skills directory. The agent will automatically discover it via the SKILL.md file.

Claude Code: Place in ~/.claude/skills/

Cursor: Place in .cursor/skills/

4

Start asking about crypto

"What's the current price of Bitcoin?"
"Give me a market overview of the top 10 coins"
"How has Ethereum performed over the last 30 days?"
"Compare BTC, ETH, and SOL"

Example Output

{
  "bitcoin": {
    "price": 98234.56,
    "market_cap": 1930000000000,
    "volume_24h": 45000000000,
    "change_24h_pct": 2.34
  },
  "ethereum": {
    "price": 3421.78,
    "market_cap": 411000000000,
    "volume_24h": 18000000000,
    "change_24h_pct": 1.87
  }
}

How It Works

1. Discovery

Agent reads SKILL.md metadata and knows when to activate

→
2. Activation

When user asks about crypto, agent loads full instructions

→
3. Execution

Agent runs the right script and returns structured JSON