What problem does it solve? Turning a clarified product idea into a complete, engineer-ready PRD is time-consuming and often produces inconsistent documents. This Skill guides the AI through a structured workflow—collecting the problem description, verifying assumptions against the actual codebase, exploring alternatives, and defining scope—to produce a thorough PRD with minimal back-and-forth. ## Core Features & Use Cases - Structured PRD Template: Produces a ten-section document covering summary, problem statement, goals, user stories, functional and non-functional requirements, architecture notes, risks, and success metrics. - Repo-Grounded Verification: Inspects the codebase to confirm or correct assumptions about existing modules, APIs, and data models before writing requirements. - Scope Definition: Explicitly separates in-scope work from out-of-scope items and follow-ups, including MVP versus full-feature distinctions. - Use Case: After clarifying a new feature idea, ask for a PRD; the Skill interviews you about flows and edge cases, checks the repo for constraints, and outputs a document ready to file as a GitHub issue or feed into implementation planning. ## Quick Start Ask the assistant to write a PRD for your feature idea and provide a detailed description of the problem, target users, and any constraints.