← ClaudeAtlas

vaguelisted

This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.
GeonheeYe/multi-agent-dotfiles · ★ 3 · AI & Automation · score 57
Install: claude install-skill GeonheeYe/multi-agent-dotfiles
# Vague: Requirement Clarification Transform vague or ambiguous requirements into precise, actionable specifications through hypothesis-driven questioning. **ALWAYS use the AskUserQuestion tool** — never ask clarifying questions in plain text. ## When to Use - Ambiguous feature requests ("add a login feature") - Incomplete bug reports ("the export is broken") - Underspecified tasks ("make the app faster") For strategy/planning blind spot analysis, use the **unknown** skill. For content-vs-form reframing, use the **metamedium** skill. ## Core Principle: Hypotheses as Options Present plausible interpretations as options instead of asking open questions. Each option is a testable hypothesis about what the user actually means. ``` BAD: "What kind of login do you want?" ← open question, high cognitive load GOOD: "OAuth / Email+Password / SSO / Magic link" ← pick one, lower load ``` ## Protocol ### Phase 1: Capture and Diagnose Record the original requirement verbatim. Identify ambiguities: - What is unclear or underspecified? - What assumptions would need to be made? - What decisions are left to interpretation? ### Phase 2: Iterative Clarification Use AskUserQuestion to resolve ambiguities. **Batch up to 4 related questions per call.** Each option is a hypothesis about what the user means. **Cap: 5-8 total questions.** Stop when all critical ambiguities are resolved, OR user indicates "good enough", OR cap reached. **Example AskUserQuestion call:** ``` que