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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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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Analyze the sentiment of financial news and aggregate coverage into key themes. Use when you need to assess market sentiment, gauge media coverage, or decide whether news about a stock is bullish, bearish, or neutral.
Assemble a complete interactive HTML dashboard (Chart.js) from a JSON config. Use AFTER research is complete to render summary cards, sections, and charts into a single shareable report file.
Compare performance of multiple stocks side-by-side. Use when the user asks to "compare", "contrast", "which is better", or analyze "multiple stocks" together. Calculates returns, volatility, and correlations.
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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)