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 percentage, 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", "clean architecture", "best practice") to surface what the user actually wants. - Confirmed intent restatement: Produces a structured restatement (Outcome, User, Why now, Success, Constraint, Out of scope) gated on an explicit yes, with a 95% confidence stop test. - 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 — a completely different artifact. ## Quick Start Ask the agent to interview you about your next feature request before writing any spec or code, for example by saying "interview me about the dashboard I want to build."
