omh-deep-interview

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omh

AI & Automation 82 stars 2 forks Updated today MIT

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Quality Score: 82/100

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Skill Content

# Deep Interview This is a Hermes-native `deep-interview` workflow skill. ## Why This Exists `deep-interview` exists to stop Hermes from guessing through ambiguous product, workflow, or implementation intent; it converts uncertainty into a clarified brief before planning or handoff. ## Do Not Use When - The request already has concrete scope, acceptance criteria, and verification commands. - The missing information is discoverable from the repository or local artifacts without asking the user. - The user asked for immediate read-only analysis and the ambiguity does not change the answer. ## Examples Good example: - Prompt: $deep-interview before planning Discord and Slack routing, ask what each channel owns and what evidence counts. - Expected behavior: Ask one decision-changing question at a time, then produce goals, non-goals, and acceptance criteria. - Why: The request explicitly rejects assumptions and needs product boundaries before implementation. Bad example: - Prompt: $deep-interview fix this failing test; the traceback and expected behavior are attached. - Expected behavior: Proceed to diagnosis or implementation instead of interviewing. - Why: The required facts are already available, so more questions would slow the workflow. ## Completion Checklist - The clarified brief names goals, non-goals, constraints, and one next planning or handoff path. - Remaining ambiguity is listed only when it changes the plan, risk, or stop condition. - No implementation h...

Details

Author
rlaope
Repository
rlaope/oh-my-hermes
Created
1 months ago
Last Updated
today
Language
Python
License
MIT

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