agentlas-ai/clarify-question-loop
Use when a meta-agent request is too ambiguous to safely generate, package, publish, or adapt without one to five targeted questions.
npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill 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
docs/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.
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?"
must be synthesized, and whether artifacts are sequential dependencies or
independent parallel packets.
functional-quality questions remain, return to the Builder Interview and
Research Gate instead of pretending the package is ready.
This loop shares the briefing interview engine's contract
(agentlas_cloud/interview/): a question is only worth asking if the answer
would change execution, not just its phrasing. Respect the surface budget
(chat 3-5 in one batch, stormbreaker <= 8 across two batches, build 8-12 plus
follow-ups). 'decide later' is always a valid answer — record it as deferred,
never re-ask. When answers you auto-confirmed from code/memory reach three in a
row, the next question must go to the human.
조사/분석/검토처럼 여러 전문가가 나눠 맡고 마지막에 합쳐야 하나요?
Never ask non-technical users to choose internal labels such as
single-agent, team-builder, ownership boundary, memory/context, synthesis,
or produces/consumes. Translate them before asking:
If a question still sounds technical, split it into two shorter everyday
questions and give examples such as 조사, 분석, 검토, 승인.
See docs/clarify-question-loop.md.
Take agentlas-ai/clarify-question-loop from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.