What problem does it solve? Users often ask for what they think they should want rather than what they actually need, leading to misaligned specs, plans, and code. This Skill closes the gap between the stated ask and the real intent before any building begins, when changing direction costs nothing. ## Core Features & Use Cases - Hypothesis-Driven Interviewing: States an explicit hypothesis with a 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: Identifies convention-signaling and sophistication-signaling answers ("scalable", "best practice") and probes what the user would want if they didn't have to justify it. - Confirmed Intent Output: Produces a structured restatement (Outcome, User, Why now, Success, Constraint, Out of scope) gated on an explicit yes, ready for handoff to spec-writing or planning skills. - 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 Ask the agent to interview you about your request before writing any plan, spec, or code, for example by saying "interview me about this feature idea before we start."
