What problem does it solve? Evaluating Amazon product niches manually requires juggling demand signals, competition data, supplier constraints, legal risk, and financial modeling across many disconnected sources. This Skill automates that research by running a structured 12-agent pipeline that produces scored, ranked, and disqualification-filtered product opportunity reports. ## Core Features & Use Cases - 12-Agent Analysis Pipeline: Sequentially analyzes demand, competition, small-seller access, profitability, trends, suppliers, legal risk, validation, launch difficulty, and market size for a given niche. - Composite Scoring & Verdicts: Computes Risk Score, Hidden Gem Score, D/C Ratio, and Master Opportunity Score, applies 8 disqualification rules, and assigns 6-tier recommendation verdicts from Immediate Launch to Disqualified. - Four Output Files: Writes a full opportunity report, a machine-readable JSON ranking, a brand identity report for products scoring above 75, and an investment analysis with startup budgets. - Use Case: Run the pipeline on a niche like "silicone kitchen tools" to receive a ranked list of product candidates with startup budgets, break-even estimates, and launch recommendations. ## Quick Start Ask the assistant to run /product-hunt on a niche such as "portable blenders" and wait for the four output files to be written to your working directory.
