What problem does it solve? Small business owners post content without knowing which products actually sell, wasting effort on items that do not drive revenue. This Skill connects content decisions to real sales data so promotion follows demand instead of guesswork. ## Core Features & Use Cases - Sales-driven analysis: Pulls 90 days of sales history from payment and accounting sources (ЮKassa, 1С, МойСклад, or CSV exports) to identify top sellers, slow movers, rising and falling items. - Seasonality overlay: Combines owner-provided seasonal patterns or industry benchmarks to time promotions around upcoming peaks and troughs. - 30-day prioritized brief: Outputs a ranked strategy covering what to promote actively, what to hold steady, what to reposition or pause, seasonal opportunities, and recommended promotions. - Use Case: A vintage clothing boutique owner asks what to promote this month; the Skill analyzes 18 months of sales, finds leather jackets drive 27% of revenue, and produces a brief timing jacket and band-tee promotion around the April-May peak. ## Quick Start Ask the assistant to analyze your recent sales data and build a 30-day content promotion brief based on what is actually selling.
