Hot Monitor
AI hotspot monitoring and trending topic discovery across multiple sources (Bing...
Install
npx skills add liyupi/yupi-hot-monitor --skill hot-monitor -g -a claude-code -y- Repository
- liyupi/yupi-hot-monitor724
- Category
- Engineering
- Updated
- 7mo ago
- License
- See repository
- Context cost
- Lightabout 1,066 tokens
- Runs scripts
- Yes, review before use
What it does
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:
- Authenticity (
isReal): Is this genuine news or clickbait/rumor? - Relevance (0-100): How related is this to the user's interest area?
- Importance (low/medium/high/urgent): How significant is this development?
- Summary: One-sentence Chinese summary of the core information
See references/analysis-guide.md for detailed evaluation criteria.
