last30days

To aggregate social media trends and news sentiment from the last 30 days, this Skill synthesizes high-engagement public discussions from Reddit, X, YouTube, and news aggregators into a concise research briefing.

Analyzing community feedback on a recent product launch is done by aggregating Reddit threads, X posts, and YouTube reviews, ranking them by engagement scores to prioritize the most impactful and widely discussed content.

Yes, you need Python 3.12+ to run the last30days research pipeline, which uses a modular architecture to rank aggregated web and social media findings by relevance and engagement.

Yes, you can use this Skill to monitor TikTok and Hacker News discussions together, as it performs multi-source aggregation across these and other platforms to provide a 360-degree view of any topic.

Engagement-based ranking for web content aggregation works by scoring and prioritizing widely discussed social media posts and news threads, ensuring the most impactful content surfaces in your final research summary.

The limitation is that this Skill targets community feedback and trends strictly within a 30-day window, meaning it will not aggregate or synthesize social media discussions or news from beyond that timeframe.