What problem does it solve?
It helps teams turn vague project ideas into structured, decision-ready requirements by running a deep, hypothesis-driven interview that validates assumptions instead of collecting answers from a static template.
Core Features & Use Cases
- PQCP-driven deep interview: Every question is preceded by synthesis, hypothesis generation, and self-challenge to continuously validate or overturn assumptions.
- Two invocation modes (Quick/Deep): Quick mode converges with fewer questions, while Deep mode persists state and writes a requirements summary to disk.
- Domain modeling & convergence control: Builds a multi-layer domain model (problem, solution shape, entities, actors, constraints) and stops synthesis only when user-confirmed information is sufficient.
- Built-in guardrails: Hard gates prevent skipping the CONTEXT phase, avoid template questions, require showing hypotheses, and manage contradictions explicitly.
Quick Start
Use the deep-interview skill to run a PQCP-based requirements interview by asking: /deep-interview "project idea or feature description".