daily-trending

Name: daily-trending
Availability: InStock
Author: wtgoku-create

Fetch daily trending topics from Chinese platforms via tophub.today.

1|Updated May 13, 2026

Search Tags:#web scraping #content research #trending #hot topics #news aggregation #topic discovery #tophub.today

Ready to run

npx skills add https://github.com/wtgoku-create/PopiStudio --skill daily-trending-wtgoku-create

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: daily-trending
Source: https://github.com/wtgoku-create/PopiStudio/tree/main/SKILLs/daily-trending
Command: npx skills add https://github.com/wtgoku-create/PopiStudio --skill daily-trending-wtgoku-create

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of quickly discovering what people are discussing today across major Chinese platforms without manually searching each site.

Core Features & Use Cases

Multi-Platform Trending Fetching: Pulls daily trending lists from tophub.today that aggregate multiple sources (e.g., Zhihu, Weibo, Baidu, 36Kr, Huxiu, The Paper).
Prioritized Collection to Prevent Overload: Retrieves only a few core platforms first, then expands if needed, while batching to avoid context overflow.
Quality Filtering for Practical Outputs: Filters out gossip, promotions, and emotional commentary, returning only complete, factual headline-style event items.
Use Case: Planning a content agenda or research session—when you ask what’s trending, you receive the five most valuable, event-focused topics for the day in a ready-to-use format.

Quick Start

Ask: What’s trending today on major Chinese platforms, and return only the 5 most valuable complete headlines.

Frequently Asked Questions about daily-trending

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I get trending topics from Chinese platforms like Weibo and Zhihu without checking each site?▼

Fetching daily trending topics across multiple Chinese platforms requires aggregating lists from a single source like tophub.today, which pulls data from Weibo, Zhihu, Baidu, and 36Kr, retrieving only core sources first to prevent context overload.

What is the best way to filter out gossip and promotions when researching hot topics for content planning?▼

Filtering out gossip and promotions when researching hot topics requires applying quality filters that exclude emotional commentary and promotional material, returning only complete, factual, event-focused headline-style items for practical content planning.

Can I retrieve multilingual trending news from 36Kr and The Paper using a single aggregation request?▼

Yes, retrieving multilingual trending news from 36Kr and The Paper using a single aggregation request is supported, prioritizing core sources first to efficiently cover the majority of results across both Chinese and multilingual query contexts.

Does web scraping for news aggregation work for batch fetching to avoid context overflow?▼

Web scraping for news aggregation does work for batch fetching to avoid context overflow by retrieving only a few core platforms first, expanding only if needed, ensuring the output remains within manageable context limits.

Why does my daily trending topic discovery return incomplete event headlines?▼

Daily trending topic discovery might return incomplete event headlines if the scraping process does not apply strict quality filtering. Ensuring complete outputs requires filtering out non-factual commentary and returning exactly five complete, event-focused items.