DailyHot: Aggregating 56+ Chinese Trending Lists
Paste the following prompt into your AI chat to install this skill:
Please install @user_82aab149/dailyhot-skill according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem It Solves
When you need to know what is trending across Chinese platforms today, checking Zhihu, Weibo, Bilibili, 36Kr, and Sspai separately is fragmented. This skill turns hot-list lookup into a local service call: you can query one platform directly, or run multiple platform lookups in parallel for AI, tech, and general trending summaries.
How It Works and Boundaries
- Platform lookup: a request such as “Weibo hot search” can query
weibodirectly. - Topic aggregation: for AI, tech, or internet-related topics, it can query
36kr,ithome,sspai,zhihu, andbilibiliin parallel, then filter and merge relevant entries. - General hot list: if no topic is specified, it can query leading platforms such as
zhihu,weibo,bilibili,douyin, andbaidu, grouped by platform with Top 5 per source. - Output fields: entries usually include title, description, heat value, author, source, update time, and total count.
It is best suited for daily trending scans, cross-platform hot-list aggregation, and lightweight filtering, not as a replacement for deep search. The service defaults to localhost:6688 and can be overridden via DAILYHOT_URL; underlying data has a 60-minute cache, so repeated queries may return the same results. For three or more platforms, parallel queries are preferred to avoid serial delays.
Use Cases
- An editor needs a morning brief combining Top 5 items from Weibo, Zhihu, Bilibili, Douyin, and Baidu.
- A content operator needs AI-related hot-list entries from 36Kr, ITHome, and Sspai for a topic meeting.
- A marketing analyst checks Weibo and Baidu hot searches to see if a brand topic is becoming widely discussed.
- A developer summarizes tech-community posts from Juejin, CSDN, and GitHub Trending for a daily update.
Best For
- Media editors who compile a morning briefing from multiple hot lists daily
- Content operations staff who select AI or tech topics across platforms
- Marketing analysts who check whether a brand topic appears on Weibo or Baidu hot searches
- Developers who collect daily digest items from tech communities and GitHub Trending
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