What problem does it solve? Training data goes stale quickly, so answering "what changed recently" requires live research. This Skill scans six platforms for the last 30 days and ranks findings by real engagement signals like upvotes, likes, views, and commits, producing a grounded digest with citations. ## Core Features & Use Cases - Multi-Platform Scanning: Fans out searches across X/Twitter, YouTube transcripts, Reddit, Hacker News, Polymarket odds, and GitHub commits and releases. - Engagement-Based Ranking: Ranks items by where signal concentrates, using upvotes, likes, replies, views, and odds rather than recency alone. - Cited Digest Output: Returns a "What changed (30d)" bullet list grouped by source, a signal-concentration summary, and citations for every claim. - Use Case: Ask "what changed in AI coding tools in the last 30 days" and receive a ranked, sourced digest showing which platform dominated the conversation. ## Quick Start Ask the agent to research what changed about your topic in the last 30 days and return a ranked digest with citations.