deep-interview

To clarify vague requirements, this Skill uses a Socratic interview process that asks targeted questions to surface hidden assumptions, track ontology, and reduce ambiguity until a crystallized spec is generated.

Socratic questioning for requirements gathering is an iterative interview technique that mathematically scores ambiguity across core dimensions, ensuring vague ideas are stress-tested and transformed into actionable specifications before execution.

Yes, structured interviews support both greenfield and brownfield feature planning, allowing you to thoroughly discover requirements, constraints, and success criteria within existing system contexts.

You can resume long-running requirements discovery sessions using built-in state persistence, which saves your progress across multiple rounds of ambiguity reduction and ontology extraction.

The best way to stress-test assumptions is using challenge modes like Contrarian, Simplifier, and Ontologist, which actively probe your feature constraints and logic during the Socratic interview.

Ambiguity scoring helps generate actionable specs by mathematically tracking clarity across core dimensions, enforcing structured phases that ensure all hidden assumptions are resolved before outputting the final spec file.