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AI hotspot monitoring and trending topic discovery across multiple sources (Bing, Google, DuckDuckGo, HackerNews, Sogou, Bilibili, Weibo, Twitter). Use when users ask about: trending news, hot topics, latest developments in a field, monitoring keywords, tech/AI news discovery,

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yupi-hot-monitor
7191 skill
Install
$ npx -y skills add liyupi/yupi-hot-monitor --skill hot-monitor --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/hot-monitor

Context preview

The summary Claude sees to decide when to auto-load this skill.

AI hotspot monitoring and trending topic discovery across multiple sources (Bing, Google, DuckDuckGo, HackerNews, Sogou, Bilibili, Weibo, Twitter). Use when users ask about: trending news, hot topics, latest developments in a field, monitoring keywords, tech/AI news discovery,

SKILL.md

hot-monitor.SKILL.md
name: hot-monitor
description: >
  AI hotspot monitoring and trending topic discovery across multiple sources (Bing, Google, DuckDuckGo, HackerNews,
  Sogou, Bilibili, Weibo, Twitter). Use when users ask about: trending news, hot topics, latest developments in a field,
  monitoring keywords, tech/AI news discovery, generating hotspot reports, "最近有什么热点", "帮我关注XX动态",
  "查一下XX最新消息", "生成热点报告", "monitor XX", "what's trending in XX", or any request to search/track/discover
  current events and trending content across Chinese and international platforms.

Hot Monitor — AI 热点监控技能

Search and analyze trending topics across 8+ sources without any server or database. Scripts handle data collection; use your own AI capabilities for analysis.

Quick Start

All scripts are in `scripts/`. Install dependencies first:

pip install requests beautifulsoup4

Set optional env vars for Twitter (other sources need no keys):

export TWITTER_API_KEY=your_key   # optional, for Twitter search

Core Workflow

1. Understand User Intent

Determine what the user needs:

  • **Broad discovery**: "最近AI有什么热点" → search multiple sources with broad keywords
  • **Specific tracking**: "帮我关注GPT-5动态" → targeted search with specific keyword
  • **Report generation**: "生成今日热点报告" → full pipeline + formatted output

2. Execute Search

Run search scripts based on scope. Always combine international + Chinese sources for comprehensive coverage.

**International sources** (no API keys needed):

python scripts/search_web.py "AI programming" --sources bing,hackernews,duckduckgo

**Chinese sources** (no API keys needed):

python scripts/search_china.py "AI编程" --sources sogou,bilibili,weibo

**Twitter** (requires `TWITTER_API_KEY`):

python scripts/search_twitter.py "AI programming"

All scripts output JSON to stdout. Combine results for multi-source analysis.

3. Analyze Results

After collecting search results, apply the analysis framework yourself (no external AI API needed). For each result, evaluate:

1. **Authenticity** (`isReal`): Is this genuine news or clickbait/rumor? 2. **Relevance** (0-100): How related is this to the user's interest area? 3. **Importance** (low/medium/high/urgent): How significant is this development? 4. **Summary**: One-sentence Chinese summary of the core information

See [references/analysis-guide.md](references/analysis-guide.md) for detailed evaluation criteria.

4. Present Results

Format output as structured report, sorted by importance. Use this template:

## 🔥 热点监控报告 — {keyword}
> 扫描时间: {timestamp} | 数据源: {sources_used}

### 🚨 紧急 (Urgent)
- **{title}** — {summary}
  来源: {source} | 相关性: {relevance}% | [原文链接]({url})

### 🔴 重要 (High)
...

### 🟡 一般 (Medium)
...

### 🟢 低优先级 (Low)
...

---
共发现 {total} 条热点,其中紧急 {urgent} 条,重要 {high} 条

Script Reference

| Script | Sources | API Key | Output | |--------|---------|---------|--------| | `search_web.py` | Bing, Google, DuckDuckGo, HackerNews | None | JSON array of `{title, content, url, source, publishedAt?}` | | `search_china.py` | Sogou, Bilibili, Weibo | None | JSON array (same schema + engagement metrics) | | `search_twitter.py` | Twitter/X | `TWITTER_API_KEY` | JSON array (same schema + author info) | | `generate_report.py` | — | None | Reads JSON from stdin, outputs Markdown report |

Common Options

All search scripts support:

  • `--sources`: Comma-separated list of sources to use (default: all)
  • `--limit`: Max results per source (default: 20)
  • `--json`: Output raw JSON (default, always JSON to stdout)

Error Handling

Scripts output `[]` (empty JSON array) on failure and print errors to stderr. Always check for empty results and inform the user which sources failed.

Advanced Patterns

Keyword Expansion

For better coverage, expand the user's keyword into variants before searching:

  • English/Chinese translations (e.g., "人工智能" ↔ "AI" ↔ "Artificial Intelligence")
  • Abbreviations (e.g., "GPT-5" → also search "GPT5", "OpenAI GPT")
  • Related terms (e.g., "Claude" → also search "Anthropic", "Claude 4")

Bilibili Account Detection

`search_china.py` supports `--detect-account` flag. If the keyword matches a Bilibili creator's name, it fetches their latest videos instead of doing a generic search:

python scripts/search_china.py "程序员鱼皮" --detect-account

Multi-keyword Batch

For monitoring multiple keywords, run searches sequentially with a 3-second delay between keywords to respect rate limits.

Reference Files

  • [references/search-sources.md](references/search-sources.md) — Detailed info about each data source, rate limits, and quirks
  • [references/analysis-guide.md](references/analysis-guide.md) — Hotspot analysis framework: authenticity, relevance, importance criteria
Read more
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作者:程序员鱼皮 本项目为教学项目,提供完整视频教程 + 文字教程 + 简历写法 + 面试题解 + 答疑服务,帮你提升项目能力,给简历增加亮点! ⭐️ 加入项目系列学习:加入编程导航

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