Jesseovo/last30days-skill-cn

last30days-cn 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。

What it solves

It solves the difficulty of tracking current trends and discussions across the fragmented Chinese internet. Instead of manually searching multiple platforms, it provides a unified research engine that aggregates recent discussions (last 30 days) from various social media and content platforms into a structured research report with cited sources.

How it works

The tool performs parallel searches across eight major platforms (including Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat Official Accounts, Baidu, and Toutiao). It follows a multi-tiered data retrieval strategy: attempting official APIs first, then authenticated sessions (via cookies/browser), and finally public interfaces or search engine indexing. It cleans the data, scores results based on relevance, timeliness, and engagement, and merges similar events across platforms into "cross-platform hotspots."

Who it’s for

  • AI Agent users: Designed as a skill for agents like Claude Code, Cursor, or Gemini CLI to automate internet research.
  • Researchers and Analysts: People needing a quick, evidence-based snapshot of public opinion or topic trends in the Chinese digital ecosystem.
  • Power Users: Individuals who want a consolidated daily hot-list from multiple platforms and RSS feeds.

Highlights

  • Multi-platform Aggregation: Parallel retrieval from 8+ Chinese platforms and optional integration with global sources (Hacker News, GitHub, Reddit, X, YouTube).
  • Cross-Platform Merging: Identifies and groups the same event mentioned across different platforms to highlight overarching trends.
  • Agent-Ready: Can be installed as a global skill for AI agents via npx skills add.
  • Flexible Output: Generates reports in compact (for agents), Markdown, JSON, or interactive HTML formats.
  • Transparent Coverage: Explicitly reports which platforms succeeded or failed and why, avoiding "hallucinated" absences of discussion.

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