本文へ移動
cccskills
無料GitHub で公開

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.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md3.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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)

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.

Default Questions

  • Which runtime targets should be supported?
  • Is this local-only, private-team, public open-source, or marketplace output?
  • What tools, APIs, files, or services must it use?
  • What should count as success?
  • What must it never read, write, publish, or spend?
  • 이 일을 한 명의 전문가가 처음부터 끝까지 맡으면 되나요, 아니면 조사/분석/검토처럼 여러 전문가가 나눠 맡고 마지막에 합쳐야 하나요?

Plain-Language Question Rule

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:

  • ownership boundary -> "누가 따로 맡아야 하는 일인지";
  • memory/context -> "각자 따로 기억해야 할 자료, 기준, 진행 상황";
  • tools/permissions -> "각자 써도 되는 계정, 파일, 웹사이트, 도구";
  • synthesis -> "마지막에 결과를 한데 모으는 일";
  • sequential dependency -> "앞 사람이 끝낸 결과를 다음 사람이 이어받는 순서".

If a question still sounds technical, split it into two shorter everyday questions and give examples such as 조사, 분석, 검토, 승인.

Reference

See docs/clarify-question-loop.md.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.

日本語の概要は準備中です。原文の説明を表示しています。

agentlas-ai/Agentlas-OS1,5772026年10月11日 更新

agentlas

無料

Single entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas graph, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas connect.

日本語の概要は準備中です。原文の説明を表示しています。

agentlas-ai/Agentlas-OS1,5772026年10月11日 更新

agentlas

無料

Single entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas graph, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas connect, /agentlas login, /agentlas orch, /agentlas update.

日本語の概要は準備中です。原文の説明を表示しています。

agentlas-ai/Agentlas-OS1,5772026年10月11日 更新

Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.

日本語の概要は準備中です。原文の説明を表示しています。

agentlas-ai/Agentlas-OS1,5772026年10月11日 更新

Use when the user types /agentlas-browser <url-or-query>, /agentlas browser, or /hep-browser for browser-required tasks, rendering pages, form flows, or visual evidence.

日本語の概要は準備中です。原文の説明を表示しています。

agentlas-ai/Agentlas-OS1,5772026年10月11日 更新

Use the Agentlas browser hardpoint for browser-required work.

日本語の概要は準備中です。原文の説明を表示しています。

agentlas-ai/Agentlas-OS1,5772026年10月11日 更新

agentlas-ai のスキルをすべて見る

このスキルの問題を報告する