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yugasun/skills · Archived

ai-news-collector

Automatically collect and summarize daily AI industry news, trends, and hot topics from platforms like GitHub (trending repos), X/Twitter (AI influencers/hashtags), and AI news aggregators.

First seen Feb 28, 2026

Installation

$ npx skills add yugasun/skills --skill ai-news-collector
View on skills.sh ↗ GitHub repository ↗

Summary

  • Automatically collect and summarize daily AI industry news, trends, and hot topics from platforms like GitHub (trending repos), X/Twitter (AI influencers/hashtags), and AI news aggregators.
  • Use this skill when the user asks for "today's AI news", "AI industry updates", "what's trending in AI", or wants a daily digest of AI developments.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

Alternate registries and mirrors of this skill.

Repository health

Stars 1
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,415 B
  • docs SUMMARY.md 363 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 130 installs

SKILL.md

AI News Collector

This skill provides workflows and tools to collect, filter, and summarize the latest developments in the AI industry across major platforms.

Core Capabilities

  • GitHub Trending: Extract trending AI/ML repositories, new tools, and open-source models.
  • X (Twitter) Updates: Gather updates from key AI researchers, organizations, and trending AI hashtags.
  • News Aggregation: Summarize top AI headlines from tech news sources.
  • Digest Generation: Compile the collected information into a structured, easy-to-read markdown digest.

Workflows

1. Generating a Daily AI Digest

When a user requests a daily AI news summary, follow this process:

  1. Information Gathering:

- MUST RESTRICT SEARCH TO THE LAST 7 DAYS. Use explicit date filters (e.g., in curl or web_search) to ensure no news or repositories older than one week are included. - Use the web search tool to find the current GitHub trending repositories (filter by spoken language or programming language like Python/Jupyter Notebook). - Search for recent AI news using queries like "AI news today", "latest artificial intelligence developments", or specific topics (e.g., "OpenAI news", "new LLM releases"). - If applicable and accessible, search for trending AI discussions on X (Twitter).

  1. Filtering & Curation:

- Filter out noise and generic news. - Focus on: New model releases, significant open-source projects, major industry announcements, breakthrough research, and trending developer tools. - STRICTLY exclude any items older than 7 days.

  1. Formatting the Digest:

- Use the template provided in references/digest-template.md to structure the output. - Group items logically (e.g., Open Source & GitHub, Industry News, Research & Papers). - Provide brief, 1-2 sentence summaries for each item. - MANDATORY: Every single news item, repository, paper, or tweet MUST include its original source URL as a markdown link [Link](url).

2. Deep Dive on a Specific AI Topic

If the user asks for news about a specific sub-field (e.g., "What's new in AI image generation?"):

  1. Adjust search queries to focus strictly on that niche.
  2. Structure the response to highlight the most impactful recent developments in that specific area.
  3. Ensure all links and 7-day time limits are strictly applied.

Best Practices

  • Freshness (Critical): Always verify that the news or repositories are actually recent (Strictly within the last 7 days). Discard anything older.
  • Conciseness: Avoid long articles; extract the core value proposition of a new tool or the main takeaway of a news item.
  • Categorization: Well-organized digests are much easier to read than flat lists.
  • Citations (Critical): Always include URLs to the original source (GitHub repo, news article, or tweet). A report item without a source link is considered invalid.

Available Resources

  • Template: See references/digest-template.md for the standard output format.