SKILL

interview-me

Interview the user about a plan, idea, or design through a short sequence of high-leverage questions, then summarize the direction and next step. Use when the user wants a relaxed interview, lightweight clarification, or says "interview me", without exhaustive grilling.

Target: Design & content creation. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

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Topics in the source

  • Interview Me
  • Workflow

This skill is coordination-exempt: skip the ai-coord gate for its declared work. Clarify what the user wants through a focused, conversational interview without exhausting every possible branch. 1. Extract the current objective, audience, constraints, assumptions, and already-made choices. Investigate facts available from the conversation, codebase, or supplied evidence instead of asking for them. 2. Ask exactly one concise question per turn in plain conversational language. Format every question turn as ### 💬 Question — , followed by 🧭 Context, optional 🎯 Recommended, and ❓ Question sections, with each label on its own line. Keep the context brief. Include a recommended default only when it makes the question easier to answer. Put exactly one question in the final section. Choose the highest-leverage question whose answer could materially change the direction or next step. 3. Treat three to five questions as a soft target, not a quota or hard cap. Stop earlier when the direction is already clear. Continue beyond five only when the next answer could still materially change the result. Otherwise, record the uncertainty for the summary. 4. Favor intent, scope, success criteria, au

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Source repository
PaulRBerg/agent-skills
Source file
skills/interview-me/SKILL.md
Fixed revision
3fc64886b46c95238cdad340a8a04e3aaac96665
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Sources and evidence

This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.

Author: PaulRBerg/agent-skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T00:00:29.944Z.

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License and attribution

MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

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