jewelshovan/ai-news-reports
Overview
This skill aggregates and analyzes AI news from seven authoritative sources to produce a single, deeply-analyzed digest. Invoke it with /ai-news <days> (default 7) to get a curated report covering research, industry moves, tools, policy, and community sentiment. The output highlights top stories, trend deep dives, expert takes, and community pulse to help you act on what matters.
How this skill works
The skill spawns parallel fetchers for seven sources (expert newsletters, research papers, industry sites, and community forums), collects JSON items, then verifies dates and deduplicates overlap. It clusters items into themes, extracts expert opinions (e.g., The Batch) and community sentiment (Reddit/Hacker News), and correlates cross-source coverage to surface high-impact stories. Finally, it generates a detailed report, saves markdown and HTML, and returns metadata about sources and counts.
When to use it
- Get a comprehensive AI news digest covering research, industry, tools, policy, and community reaction.
- Stay updated on the most important developments over the past N days (/ai-news 3, /ai-news 7).
- Research recent papers and their community engagement before starting a project or literature review.
- Assess market signals—funding, product launches, M&A—for strategic decision-making.
- Gauge community sentiment and common criticisms from Reddit and Hacker News discussions.
Best practices
- Specify the days parameter to control report scope (default 7).
- Run regularly (daily/weekly) for consistent trend tracking and to build a report archive.
- Review cross-source correlations first—stories that appear in research + industry + community are highest priority.
- Use the expert takeaways and recommended actions to inform immediate next steps.
- If a source fails, proceed with available data and note which sources were missing in the report metadata.
Example use cases
- A product manager requests /ai-news 3 to brief stakeholders on recent model releases and startup activity.
- A researcher runs /ai-news 7 to find trending papers on HuggingFace and assess community reaction before reading full papers.
- A CTO uses the report to spot infrastructure or tooling launches worth evaluating for pilot projects.
- An analyst monitors regulation and policy coverage to prepare compliance recommendations for leadership.
FAQ
Call /ai-news <days> where days is the number of days to look back; default is 7.
Which sources are included?
Seven sources: The Batch, smol.ai, HuggingFace papers, TechCrunch AI, AI News, Reddit ML communities, and Hacker News.
What if a source fails to fetch?
The workflow continues with available sources and marks successes/failures in the report metadata; a minimum of two sources is required for a viable report.
