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Ai news collector

Skill yugasun/skills/skills/ai-news-collector

A collection of high-quality, opinionated agent skills for modern full-stack development. These skills are designed to be used with AI agents (like Cursor, Windsurf, or custom agents) to standardize project creation and maintenance.

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npx -y skills add yugasun/skills --skill ai-news-collector

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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.

SKILL.md

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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).

  2. 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.

  3. 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.

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