What problem does it solve? Understanding player feedback on Steam requires manually reading hundreds of reviews and guessing at sentiment trends. This Skill automates fetching review data from the Steam Reviews API and produces structured sentiment breakdowns, trend comparisons, and theme analysis. ## Core Features & Use Cases - Sentiment Breakdown: Computes positive/negative ratios, overall score descriptions, and recent versus all-time trends for any Steam game. - Theme and Complaint Analysis: Scans review text for recurring praise and complaints, plus playtime correlation between positive and negative reviewers. - Review Bombing Detection: Flags sudden spikes in negative reviews and compares sentiment before and after updates or patches. - Use Case: A community manager asks whether players are happy with the latest patch. The Skill fetches the last 30 days of reviews, compares the recent positive percentage to the all-time figure, and summarizes recurring mentions of bugs and fixes. ## Quick Start Analyze the recent reviews for Baldur's Gate 3 and tell me whether players are happy with the latest patches.