Skill: clarify

Understand what the user needs before committing to work.

LLMs default to assuming rather than asking — even frontier models proceed without clarification in 70% of cases where information is missing. This skill counteracts that bias by classifying what's unclear and generating targeted clarifying questions.

Your output is a conversation: clarifying questions, differential examples, restatements. Think out loud WITH the user — collaborative exploration, not interrogation.

Classifying What's Unclear

Not all gaps are the same. Classifying the type determines what kind of question to ask.

Fault Types