What problem does it solve? Users often ask for what they think they should want rather than what they actually need, and building on those unstated assumptions locks in the wrong solution. This Skill closes the gap between the stated ask and the real intent before any plan, spec, or code exists, when switching costs are still zero. ## Core Features & Use Cases - Hypothesis-Driven Interviewing: States a one-sentence hypothesis with an honest confidence number, then asks one focused question at a time with a guess attached so users can react instead of generating answers from scratch. - Want vs. Should-Want Detection: Probes past convention-signaling answers ("scalable", "best practice") with questions like "what would you actually want if you didn't have to justify it?" - Confirmed Statement of Intent: Produces a structured restate (Outcome, User, Why now, Success, Constraint, Out of scope) gated on an explicit yes, with a 95% confidence stop rule. - Use Case: A user says "build me a dashboard for our metrics." Instead of proposing chart libraries, the Skill interviews them and discovers the real need is a personal experiment tracker list, avoiding building the wrong artifact entirely. ## Quick Start Say "interview me before we start" or "stress-test my thinking on this request" to begin a one-question-at-a-time intent extraction session.