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Socratic questioning to crystallize vague requirements into a testable spec.
Passed 19 of 22 test cases with the skill, and 8 of 22 without it.
and 9 more in the full report
11 fixed8 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
What target ambiguity percentage score must be achieved before code generation or planning can begin in this workflow?
| Checked | Without skill | With skill |
|---|---|---|
| States that ambiguity must be driven below 20% (or an average score of at least 4 out of 5). | Missed | Passed |
The instructions your model reads when the skill loads.
Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.
Deep Interview transforms vague ideas into concrete, testable specifications through Socratic questioning. It is the front gate of any high-stakes work — refusing to proceed until ambiguity is below an acceptable threshold.
dev-autopilot when input lacks file paths, function names, or concrete anchorsDrive ambiguity below 20% before any code or plan is generated. Output a spec that an executor agent can implement without further clarification.
Read the user's input. Score it on these dimensions (1-5 each, 5 = clear):
If average ≥ 4: skip interview, proceed. If average < 4: enter interview loop.
Ask one question at a time using AskUserQuestion (with 2-4 multiple-choice options when possible). Each question must:
Common question types:
test cases passed, vs 8 / 22 without
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