deep-interview

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Socratic deep interview with mathematical ambiguity gating before explicit execution approval

AI & Automation 36,273 stars 3296 forks Updated today MIT

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Skill Content

<Purpose> Deep Interview implements Ouroboros-inspired Socratic questioning with mathematical ambiguity scoring. It replaces vague ideas with crystal-clear specifications by asking targeted questions that expose hidden assumptions, measuring clarity across weighted dimensions, and refusing to proceed until ambiguity drops below the resolved threshold for this run. The output feeds into a gated pipeline: **deep-interview → omc-plan consensus refinement → pending approval → explicitly approved execution**, ensuring maximum clarity before any mutation starts. </Purpose> <Use_When> - User has a vague idea and wants thorough requirements gathering before execution - User says "deep interview", "interview me", "ask me everything", "don't assume", "make sure you understand" - User says "ouroboros", "socratic", "I have a vague idea", "not sure exactly what I want" - User wants to avoid "that's not what I meant" outcomes from autonomous execution - Task is complex enough that jumping to code would waste cycles on scope discovery - User wants mathematically-validated clarity before committing to execution </Use_When> <Do_Not_Use_When> - User has a detailed, specific request with file paths, function names, or acceptance criteria -- execute directly - User wants to explore options or brainstorm -- use `omc-plan` skill instead - User wants a quick fix or single change -- delegate to executor or ralph - User says "just do it" or "skip the questions" without an explicit execution path --...

Details

Author
Yeachan-Heo
Repository
Yeachan-Heo/oh-my-claudecode
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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