research-market-opportunity

What problem does it solve?

It turns a free-text product idea into a quantified, source-cited market brief so teams can make go-to-market and product decisions without guessing.

Core Features & Use Cases

• Product parsing and grounding in long-term memory: Extracts the product type, user type, and core problem, then retrieves relevant domain taxonomy context to inform assumptions and tradeoffs.
• Web-validated market sizing and growth: Searches for TAM/SAM/SOM and growth rates using multiple queries and enforces non-fabrication rules with explicit insufficiency markers when sources are lacking.
• Competitive landscape and gap/risk mapping: Identifies competitors with source-traceable positioning and differentiators, then derives market gaps and regulatory/market/technology risks grounded in LTM signals and the project profile.

Use Case: If you are preparing the Specify stage for a SaaS product, this skill produces a market-brief.md that includes TAM/SAM/SOM, competitor positioning, key gaps, and risks—fully cited and safe against hallucinated numbers.

Quick Start

Ask your AI agent to run the research-market-opportunity skill for the given product_idea and write the resulting market brief to the target output_path.