home / skills / alphamoemoe / foci / hot-topics

This skill tracks and summarizes trending finance topics from YouTubers, helping you stay informed on hot sectors and stocks.

npx playbooks add skill alphamoemoe/foci --skill hot-topics

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: hot-topics
description: Discover trending topics and sectors being discussed by finance YouTubers. Use when users want to know what's hot in the market.
---

# Hot Topics Tracker

Discover trending topics and sectors being discussed by finance YouTubers.

## Triggers

- "最近热点是什么"
- "大家在讨论什么"
- "hot topics"
- "what's trending"
- "热门话题"
- `/hot-topics`

## Instructions

When the user wants to know current hot topics, follow these steps:

1. **Get All Tickers with Mention Counts**
   Call `list_tickers` to see which stocks are being discussed most.

2. **Get Daily Summary**
   Call `get_daily_summary` to understand the overall market narrative.

3. **Search for Theme Keywords**
   Call `search_viewpoints` with common themes to identify trending topics:
   - "AI" / "人工智能"
   - "财报" / "earnings"
   - "降息" / "rate cut"
   - "芯片" / "semiconductor"
   - Other relevant keywords based on context

4. **Categorize and Rank**
   Group findings by:
   - Sectors (Tech, Finance, Healthcare, etc.)
   - Themes (AI, Earnings, Macro, etc.)
   - Individual hot stocks

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

   ```
   ## 本周热点追踪 🔥

   ### 热门板块
   1. **科技股** - XX 次提及
      - 代表股票: NVDA, AAPL, MSFT
      - 主要话题: AI、云计算

   2. **半导体** - XX 次提及
      - 代表股票: AMD, INTC, TSM
      - 主要话题: 产能、周期

   ### 热门话题
   1. **AI 投资** 🤖
      - 相关股票: NVDA, MSFT, GOOGL
      - 代表观点: "[观点摘要]" — 博主A

   2. **财报季** 📊
      - 关注股票: TSLA, META
      - 代表观点: "[观点摘要]" — 博主B

   ### 本周最热门股票 Top 5
   | 排名 | 股票 | 提及次数 | 主流情绪 |
   |------|------|----------|----------|
   | 1 | NVDA | 45 | 🟢 看涨 |
   | 2 | TSLA | 32 | 🟡 分歧 |
   | ... | ... | ... | ... |

   ### 值得关注的冷门观点
   [列出一些有价值但不热门的独特观点]
   ```

## Tool Sequence

1. `list_tickers` → Get mention counts
2. `get_daily_summary` → Get market overview
3. `search_viewpoints("AI")` + `search_viewpoints("earnings")` + other keywords → In parallel
4. Compile and categorize findings

## Notes

- Focus on what's actually being discussed, not just mentioned
- Highlight emerging themes that may not be mainstream yet
- Include both consensus and contrarian viewpoints

Overview

This skill discovers trending topics, sectors, and individual stocks being discussed by finance-focused YouTubers. It synthesizes mention counts, daily market narrative, and themed keyword searches to present a ranked, actionable snapshot of what’s hot and which viewpoints matter. The output highlights consensus, emerging themes, and contrarian angles.

How this skill works

The skill first collects mention counts for tickers to identify the most-talked-about stocks. It then retrieves a daily market summary to capture the current narrative. Parallel searches for theme keywords (for example: AI, earnings, rate cuts, semiconductor) surface topic-specific viewpoints, which are categorized by sector, theme, and stock and then ranked by frequency and relevance.

When to use it

  • You want a quick pulse on what finance YouTubers are discussing this week.
  • Preparing content, commentary, or trade ideas based on social-video chatter.
  • Spotting emerging themes before they reach broader financial media.
  • Monitoring sentiment shifts around major tickers or sectors.
  • Validating whether a thesis is mainstream or contrarian among creators.

Best practices

  • Start with the ticker mention counts to prioritize investigation rather than chasing noise.
  • Combine the daily market summary with theme searches to separate narrative drivers from isolated mentions.
  • Track both consensus and contrarian viewpoints; small but coherent contrarian threads can indicate early trend shifts.
  • Refresh results frequently during earnings season or macro news windows to catch rapid changes.
  • Filter by creator influence or view count when you need higher-confidence signals.

Example use cases

  • Generate a weekly ‘hot topics’ brief for a newsletter summarizing top sectors and stocks on YouTube.
  • Identify which themes (AI, earnings, rate cuts, semiconductors) are gaining momentum to inform sector allocation decisions.
  • Find representative creator quotes and sentiment to support a trade pitch or research note.
  • Spot underreported but interesting viewpoints to use as unique angles in your content.
  • Monitor whether a stock’s YouTube discussion is becoming more bullish or bearish ahead of its earnings.

FAQ

How does it determine what counts as a ‘hot’ topic?

It uses ticker mention counts combined with thematic keyword matches and the daily market summary to measure frequency and contextual relevance among finance YouTubers.

Will it surface contrarian viewpoints or only consensus?

Yes — the skill highlights both consensus and contrarian viewpoints, and flags less-popular but potentially valuable perspectives for follow-up.