Deep Interview
Refines vague project ideas into precise specifications using Socratic questioning and mathematical ambiguity scoring.
Refines vague project ideas into precise specifications using Socratic questioning and mathematical ambiguity scoring.
Deep Interview is a requirements-gathering powerhouse for Claude Code that eliminates project drift before execution begins. Inspired by the Ouroboros project, it replaces broad assumptions with a Socratic questioning loop that probes the weakest areas of a project's definition. By measuring clarity across four weighted dimensions—Goal, Constraints, Success Criteria, and Context—the skill ensures that the AI possesses a mathematically validated understanding of your intent. Whether starting a new project or modifying a complex codebase, Deep Interview bridges the gap between a vague concept and a production-ready implementation plan, ensuring autonomous agents build exactly what you need.