Skills

Clarify Question Loop

Use when a meta-agent request is too ambiguous to safely generate, package, publish, or...

Install

npx skills add agentlas-ai/Agentlas-OS --skill clarify-question-loop -g -a claude-code -y
Category
AI and agents
Updated
4d ago
License
Apache-2.0
Context cost
Lightabout 778 tokens
Runs scripts
No, instructions only

What it does

Use when a meta-agent request is too ambiguous to safely generate, package, publish, or adapt without one to five targeted questions.

Clarify Question Loop

Ask only questions that change the generated package, runtime adapter, safety boundary, or public/private release decision.

For /hep-build creation or behavior-changing packaging, this is not a substitute for the Builder Interview and Research Gate in contracts/builder-interview-research-gate.md. Run that gate first: ask an 8-12 question first batch, research similar agent repositories or comparables and academic/professional theory, then use this clarify loop only for the remaining narrow ambiguities.

Procedure

  1. Classify the current best mode.
  2. If single-agent vs team selection would change the package shape and the independent ownership boundaries are unclear, ask before generation. The first batch must include this plain-language question: "이 일을 한 명의 전문가가 처음부터 끝까지 맡으면 되나요, 아니면 조사/분석/검토처럼 여러 전문가가 나눠 맡고 마지막에 합쳐야 하나요?"
  3. Follow up on role count, role-specific tools/permissions, whether outputs must be synthesized, and whether artifacts are sequential dependencies or independent parallel packets.
  4. Identify missing facts that would change files or safety.
  5. Ask one to five short questions, preferably three. If more than five functional-quality questions remain, return to the Builder Interview and Research Gate instead of pretending the package is ready.
  6. Do not ask for secrets. Ask for secret names or setup boundaries instead.
  7. After answers arrive, re-run mode classification if needed.
  8. Generate or repair the package using the answers and list assumptions.

Budgets and stop rule (briefing interview engine)

Read the whole SKILL.md on GitHub

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