china-hot-ranks

Aggregate hot rankings from seven platforms into a single payload.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/sunsally821-coder/Hot-Ranks --skill china-hot-ranks-sunsally821-coder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: china-hot-ranks
Source: https://github.com/sunsally821-coder/Hot-Ranks/tree/main
Command: npx skills add https://github.com/sunsally821-coder/Hot-Ranks --skill china-hot-ranks-sunsally821-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the tedious, time-consuming task of collecting and organizing hot rankings from multiple platforms by providing a single command to fetch and format cross-platform data, enabling quick insights and easy sharing.

Core Features & Use Cases

  • Cross-platform aggregation: retrieves top items from seven major platforms (微博、B站、百度、CSDN、GitHub、知乎、抖音) and consolidates them into a unified view.
  • Flexible output formats: supports exporting results as Markdown or HTML reports for dashboards, documentation, or archival purposes.
  • Ad-hoc and full-suite usage: can fetch all platforms at once or target specific platforms as needed, with optional keyword filtering.

Quick Start

Run the script to fetch all seven platforms' hot ranks and generate a ready-to-share report.

Frequently Asked Questions about china-hot-ranks

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

FAQPage Schema
How do I aggregate cross-platform hot rankings from multiple sources at once?

Cross-platform hot rankings aggregation consolidates trending topics from seven major platforms into a single payload. Running one command fetches and formats data from social, video, search, and tech communities.

Can I export fetched hot ranks as Markdown or HTML reports?

Yes, the Skill supports exporting hot ranks results as Markdown or HTML reports. This allows you to generate ready-to-share documents for cross-platform trending topic dashboards or archival purposes.

Do I need a DailyHotApi service to fetch real-time hot ranks from platforms like Weibo and Bilibili?

Yes, fetching real-time hot ranks requires a DailyHotApi service along with Python tooling. Optional MCP sources can also be configured to access and retrieve the live cross-platform data.

What's the best way to fetch hot ranks from specific platforms instead of all seven at once?

Ad-hoc usage allows you to target specific platforms individually rather than fetching the full suite. You can retrieve hot ranks from selected sources and apply optional keyword filtering to narrow results.

Which platforms are included in the consolidated hot ranks view?

The consolidated hot ranks view includes seven major platforms: Weibo, Bilibili, Baidu, CSDN, GitHub, Zhihu, and Douyin. This covers a mix of social, video, search, and tech community trending topics.