What problem does it solve? Competitive research is scattered across websites, review platforms, and pricing pages, making it hard to produce a structured, credible teardown. This Skill provides a repeatable 7-layer framework and ready-to-run research commands to turn raw web data into feature matrices, SWOT analyses, and positioning maps. ## Core Features & Use Cases - 7-Layer Analysis Framework: Systematically covers product, pricing, positioning, traction, reviews, content, and team for each competitor. - Structured Deliverables: Templates for feature comparison matrices, pricing tables, SWOT grids, 2x2 positioning maps, and executive summaries. - Automated Research & Screenshots: Uses the inference.sh CLI (belt) with Tavily, Exa, and browser agents to gather intelligence and capture competitor UX screenshots. - Use Case: A product manager preparing an investor deck can research the top 3-5 competitors, mine G2 reviews for complaints, and generate a positioning map visual in one workflow. ## Quick Start Ask the AI to run a competitor teardown on a named competitor, including a feature matrix, pricing comparison, SWOT analysis, and positioning map.