earnings-recap
方便快速复盘公司业绩与市场反应，节省手动对比数据时间。
使用 Yahoo Finance 数据生成财报后的结果分析、惊喜与股价反应总结。
用 Yahoo Finance（通过 yfinance）抓取公司财报数据，帮你把季度/年度报告做成一页总结：实际 vs 预期、惊喜幅度、股价反应和财务背景解读。想快速判断某公司报完后是超预期还是失望、市场怎么反应就用。侧重把关键指标和市场反应串起来给出结论，但不是投资建议。
▸ 展开 SKILL.md 英文原文
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".
帮我安装这个 skill：https://raw.githubusercontent.com/himself65/finance-skills/main/plugins/market-analysis/skills/earnings-recap/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/himself65/finance-skills/main/plugins/market-analysis/skills/earnings-recap/SKILL.md"# Earnings Recap Skill
Generates a post-earnings analysis using Yahoo Finance data via [yfinance](https://github.com/ranaroussi/yfinance). Covers the actual vs estimated numbers, surprise magnitude, stock price reaction, and financial context — a complete picture of what happened.
**Important**: Data is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc.
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## Step 1: Ensure yfinance Is Available
**Current environment status:**
```
!`python3 -c "import yfinance; print('yfinance ' + yfinance.__version__ + ' installed')" 2>/dev/null || echo "YFINANCE_NOT_INSTALLED"`
```
If `YFINANCE_NOT_INSTALLED`, install it:
```python
import