paulrberg/agent-skills

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.

First seen Aug 13, 2026

Installation

$ npx skills add paulrberg/agent-skills --skill interview-me

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 70
License LICENSE.md
Default branch main
Open issues 4
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,576 B
  • docs SUMMARY.md 290 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 11 installs

SKILL.md

Interview Me

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.

Workflow

  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.

  1. Ask exactly one concise question per turn in plain conversational language. Format every question turn as

### 💬 Question <N> — <topic>, 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, and put exactly one question in the final section. Choose the highest-leverage question whose answer could materially change the direction or next step.

  1. 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 wrap-up.

  1. Favor intent, scope, success criteria, audience, and key tradeoffs. Follow the threads the user emphasizes instead of

mechanically covering every interface, failure mode, operational concern, or other domain.

  1. Briefly acknowledge or synthesize an answer as ✅ Noted: <choice or implication> only when it advances the

conversation. Do not use decision cards, progress counts, exhaustive checklists, repeated recaps, or a formal decision record. Do not reopen settled choices unless new evidence conflicts with them.

  1. Finish immediately when the user asks to stop or when further questions would add little value. Return

### 🧭 Summary, ### ✅ Key choices, optional ### ❓ Open questions, and ### 🏁 Next step. Keep the wrap-up concise and do not end with another question.

Completion requires a clear summary of the user's direction, the choices that materially shape it, any unresolved uncertainty worth preserving, and one practical next step.