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 changing direction is still cheap. ## Core Features & Use Cases - Hypothesis-driven interviewing: States a one-sentence hypothesis with an explicit confidence number, then asks one focused question at a time with a guess attached so the user can react instead of generating answers from scratch. - Want-vs-should detection: Probes past convention-signaling answers ("scalable", "best practice", "whatever you think") to surface what the user actually wants. - Confirmed intent output: Produces a structured restatement (Outcome, User, Why now, Success, Constraint, Out of scope) gated on an explicit yes, with a 95% confidence stop condition. - Use Case: A user says "build me a dashboard for our metrics." Instead of proposing chart libraries, the Skill interviews and discovers the real need is a personal list of running experiments — a different artifact entirely. ## Quick Start Ask the agent to interview you about your request before building anything, for example: "Interview me about what I actually want before we start planning this feature."
