What problem does it solve? Founders and product teams often commit to startup ideas without rigorous evidence of market demand, competitive gaps, or viable unit economics. This Skill replaces guesswork with a structured, data-driven validation process that produces a clear go/no-go recommendation. ## Core Features & Use Cases - Systematic Market Research: Executes 10-15+ web searches across market size, competition, problem validation, trends, and pricing, using query templates and authoritative sources like Gartner, Statista, and Crunchbase. - Framework-Based Analysis: Applies TAM/SAM/SOM sizing, Porter's Five Forces, problem-solution fit criteria, and unit economics benchmarks (LTV:CAC, payback period) to structure findings. - Quantitative Scoring: Uses the bundled Python analyzer to compute market attractiveness scores, unit economics health, and an overall viability recommendation (STRONG GO / PROCEED WITH VALIDATION / PIVOT / NOT VIABLE). - Use Case: A founder asks "Is there a market for an AI-powered meal planning app for diabetics?" The Skill researches the digital health market, maps competitors, validates the problem, and delivers a full markdown report with positioning recommendations and next validation steps. ## Quick Start Validate my startup idea for a subscription-based tool that helps freelancers automate client invoicing and tell me if it is viable.
