morning-briefing skill

---
name: morning-briefing
description: Generate a structured daily market briefing based on YouTuber sentiment. Use when users want a morning report or daily market overview.
---

# Morning Briefing

Generate a structured daily market briefing based on YouTuber sentiment.

## Triggers

- "今日晨报"
- "早上好"
- "morning briefing"
- "daily briefing"
- "今天市场怎么样"
- `/morning-briefing`

## Instructions

When the user wants a morning briefing, follow these steps:

1. **Get Daily Summary**
   Call `get_daily_summary` for today (and yesterday for comparison).

2. **Get Hot Tickers**
   Call `list_tickers` to identify the most discussed stocks.

3. **Get Top 5 Stock Details**
   Call `get_ticker_sentiment` for the top 5 most mentioned stocks to get detailed sentiment.

4. **Compile Briefing**
   Create a structured morning report with:
   - Market mood overview
   - Top bullish picks
   - Top bearish concerns
   - Notable viewpoints
   - What to watch today

5. **Present Results**
   Format the output as:

   ```
   # 📰 每日晨报 | YYYY-MM-DD

   ## 市场情绪温度计 🌡️

   **整体情绪**: 🟢 偏多 / 🟡 中性 / 🔴 偏空

   - 看涨观点: XX 条
   - 看跌观点: XX 条
   - 中性观点: XX 条

   ---

   ## 今日最看涨 📈

   | 排名 | 股票 | 看涨博主数 | 关键理由 |
   |------|------|------------|----------|
   | 1 | NVDA | 8 | AI需求强劲 |
   | 2 | AAPL | 5 | 新品发布预期 |
   | 3 | ... | ... | ... |

   ## 今日最看跌 📉

   | 排名 | 股票 | 看跌博主数 | 主要担忧 |
   |------|------|------------|----------|
   | 1 | XXX | 4 | 估值过高 |
   | 2 | ... | ... | ... |

   ---

   ## 重点股票速览

   ### NVDA
   - **情绪**: 🟢 强烈看涨
   - **看涨/看跌**: 8/1
   - **热点**: AI芯片需求、数据中心增长
   - **代表观点**: "[观点]" — 博主A

   ### TSLA
   - **情绪**: 🟡 分歧较大
   - **看涨/看跌**: 4/3
   - **热点**: FSD进展、交付数据
   - **代表观点**: "[观点]" — 博主B

   [重复 Top 5]

   ---

   ## 值得关注的观点 💡

   1. **[博主A]**: "[独到观点摘要]"
   2. **[博主B]**: "[独到观点摘要]"
   3. **[博主C]**: "[独到观点摘要]"

   ---

   ## 今日关注 👀

   - [ ] NVDA: 关注AI相关消息
   - [ ] TSLA: 关注交付数据
   - [ ] 宏观: 关注Fed讲话

   ---

   *数据来源: 60+ 财经 YouTuber | 更新时间: HH:MM*
   ```

## Tool Sequence

1. `get_daily_summary(date=today)` + `get_daily_summary(date=yesterday)` → In parallel
2. `list_tickers` → Get hot stocks
3. `get_ticker_sentiment(top_ticker_1)` + ... + `get_ticker_sentiment(top_ticker_5)` → Top 5 in parallel
4. Compile morning briefing

## Notes

- Keep it scannable and actionable
- Highlight what changed from yesterday
- Include a mix of consensus and contrarian views
- Format for easy reading on mobile
- Add timestamps for context