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ai-news-collectors

Aggregate AI news across six dimensions into ranked Chinese summaries with source links.

Updated May 30, 2026
Search Tags:#ai-news#news-aggregation#ai-trends#news-summary#ai-updates#popularity-ranking
One-click install
npx skills add https://github.com/zeroix07/mcp-skill-agent --skill ai-news-collectors
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-news-collectors
Source: https://github.com/zeroix07/mcp-skill-agent/tree/main/ai-news-collectors
Command: npx skills add https://github.com/zeroix07/mcp-skill-agent --skill ai-news-collectors

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Users often miss key AI developments including viral community tools, new product launches, and research breakthroughs when relying on generic search results that return low-quality SEO aggregation pages and overlook niche, high-impact news.

Core Features & Use Cases

  • Multi-dimensional news coverage: Aggregates news from 6 core categories including weekly newsletters, community viral trends, product/model releases, financing updates, research breakthroughs, and regulatory policy changes to ensure no major stories are missed.
  • Popularity-based ranking: Evaluates news items using cross-source reporting frequency, community spread signals, and timeliness to sort items by actual relevance and热度.
  • Use case: If you need to quickly catch up on all major AI developments from the past week, including viral open source projects and new model launches, this skill compiles a curated, ranked list of Chinese summaries with original source links.

Quick Start

Ask the AI to collect and summarize this week's most popular AI news, and it will return a ranked list of Chinese summaries with original source links.

Frequently Asked Questions about ai-news-collectors

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

FAQPage Schema
How do I get a comprehensive summary of trending AI news instead of low-quality search results?▼

To get a comprehensive summary of trending AI news, you need an aggregation tool that cross-validates multiple sources and ranks items by popularity. This ensures coverage of community viral trends, product releases, and research breakthroughs while filtering out generic SEO pages.

What is the best way to track AI industry trends across different categories?▼

The best way to track AI industry trends is by monitoring six core dimensions: weekly newsletters, community viral trends, product releases, financing updates, research breakthroughs, and regulatory changes. This multi-dimensional approach captures both niche high-impact stories and mainstream updates.

How does popularity-based ranking work for AI news aggregation?▼

Popularity-based ranking for AI news aggregation evaluates items using cross-source reporting frequency, community spread signals, and timeliness. This mechanism sorts news by actual relevance and热度, ensuring the most impactful developments appear at the top of your summary list.

Can I get Chinese language summaries for AI news with original source links?▼

Yes, you can get Chinese language summaries for AI news with original source links. The aggregation process outputs 15-25 sorted Chinese news summaries, ensuring you receive readable updates while retaining access to the original sources for verification.

Does AI news aggregation guarantee coverage of open source project updates and financing news?▼

AI news aggregation guarantees coverage of open source project updates and financing news by performing at least 8 cross-validated searches. This extensive search process ensures comprehensive tracking across product launches, community phenomena, and industry financing updates.

Why do generic search results miss viral AI tools and new product launches?▼

Generic search results miss viral AI tools and new product launches because they prioritize SEO aggregation pages over niche, high-impact news. A dedicated multi-dimensional aggregation approach is required to surface community viral trends and research breakthroughs effectively.

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