Morning Briefing

Name: Morning Briefing
Author: alphamoemoe

alphamoemoe/foci

222 installs
7 repo stars
Updated January 26, 2026
alphamoemoe/foci

Use when generating a concise morning briefing that summarizes priorities, calendar signals, open tasks, and focus themes to start a workday with aligned intent.

About

morning-briefing structures an agent-driven start-of-day summary that pulls together what matters now: deadlines, carryover work, and intentional focus. It turns scattered inputs into a short actionable brief so operators begin with clarity instead of re-reading notes, inboxes, and trackers from scratch.

daily priority synthesis
calendar and task scan
focus theme selection
brief narrative output
repeatable morning ritual

Morning Briefing by the numbers

222 all-time installs (skills.sh)
Ranked #1,009 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
Data as of Jul 28, 2026 (Skillselion catalog sync)

npx skills add https://github.com/alphamoemoe/foci --skill morning-briefing

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Installs	222
repo stars	★ 7
Last updated	January 26, 2026
Repository	alphamoemoe/foci ↗

What it does

Use when generating a concise morning briefing that summarizes priorities, calendar signals, open tasks, and focus themes to start a workday with aligned intent.

Files

SKILL.mdMarkdownGitHub ↗

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