Ai News Collector

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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yugasun
• Source: yugasun/skills
• License: MIT

Install and usage instructions live in the source repository linked above.