What problem does it solve? It eliminates the manual, multi-step work of turning raw product materials into a consistent set of retail launch deliverables—selling-point analysis, store sales scripts, a one-page PPTX, and a product quiz XLSX—without relying on external knowledge bases or stage-by-stage confirmation gates. ## Core Features & Use Cases - Four-stage direct pipeline: Selling-point extraction and scoring (seven-star method) flows directly into 15-second store scripts, a 16:9 one-page PPTX, and a fixed 10-question XLSX quiz, all from one input set. - Evidence-gated content: Every claim must trace to user-provided materials; unverified, conflicting, or desensitized prototype facts are blocked from final deliverables, and a real vehicle photo is mandatory for the one-pager. - Deterministic file generation: Optional Python scripts (python-pptx, openpyxl) validate JSON payloads and produce fixed-layout PPTX and XLSX files, with a cross-stage consistency check before delivery. - Use Case: A retail marketing team pastes a new vehicle model's specs, features, and a competitor comparison, plus a product photo, and receives four ready-to-use deliverables: a selling-point baseline report, store talk tracks with evidence audit, a one-page sales sheet, and a 10-question training quiz. ## Quick Start Use this skill to generate the full retail launch package—selling-point analysis, store scripts, one-page PPTX, and product quiz—from the attached product materials and vehicle photo.
