What problem does it solve? It turns scattered raw research materials in an offering's input folder into structured, source-cited intelligence documents, eliminating manual synthesis and untraceable claims. ## Core Features & Use Cases - Categorized Synthesis: Processes input materials into market.md, financial.md, competitive.md, customer.md, and technical.md research files. - Citation Discipline: Every data point carries a source citation with document and line references, with anti-circular citation rules enforced. - Gap Tracking: Identifies unknowns and records them in GAPS.md with sequential GAP-XXX identifiers. - Use Case: After dropping new analyst reports into an offering's 00_Research/input/ folder, invoke this Skill to extract key data points, update the research files, flag gaps, and hand off to /qa-research for validation. ## Quick Start Run the research skill for offering OFFER-042 to process the new files in its research input folder and update the research documents.