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Fetch and analyze historical stock data for any ticker symbol. Use when the user asks to "look up", "fetch", "get data for", or "analyze" a specific stock ticker. Retrieves price history, volume, and basic statistics.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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| name | stock-lookup |
| description | Fetch and analyze historical stock data for any ticker symbol. Use when the user asks to "look up", "fetch", "get data for", or "analyze" a specific stock ticker. Retrieves price history, volume, and basic statistics. |
This skill fetches historical stock market data for any ticker symbol using yfinance. It provides price history, trading volume, and basic statistics.
Use this skill when the user:
Extract the ticker symbol from the user's request (e.g., "AAPL", "TSLA", "MSFT").
Default to the last 6 months unless the user specifies otherwise:
There's a helper script fetch_stock.py in this skill directory that you can use:
uv run python .claude/skills/stock-lookup/fetch_stock.py --ticker AAPL --period 6mo --output tmp/aapl_data.json
Arguments:
--ticker (required): Stock ticker symbol--period (optional): Time period (1mo, 3mo, 6mo, 1y, 2y, 5y, max). Default: 6mo--output (required): Output file path (use absolute path in tmp/)--format (optional): Output format (json or csv). Default: jsonAfter fetching data, read the output file and provide insights:
The helper script returns JSON with this structure:
{
"ticker": "AAPL",
"period": "6mo",
"data_points": 125,
"date_range": {
"start": "2025-08-01",
"end": "2026-02-03"
},
"current_price": 270.01,
"statistics": {
"mean": 268.72,
"min": 246.70,
"max": 286.19,
"std_dev": 9.45,
"volatility_pct": 3.52
},
"history": [
{"date": "2025-08-01", "open": 269.88, "high": 271.23, "low": 268.12, "close": 270.15, "volume": 45234100},
...
]
}
User: "Look up Apple stock for the last year"
Agent Workflow:
uv run python .claude/skills/stock-lookup/fetch_stock.py --ticker AAPL --period 1y --output tmp/aapl_1y.jsonuv run python to execute the script (not plain python)