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Discernment Nudge

After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches,…

Claude skills7 min read

By anthropics/skills, Apache-2.0 licence. Shared here with credit.

Discernment nudge

Why this exists

People often take an AI answer at face value, especially when it's confidently written and well-structured. That's usually fine — but for substantive answers the user is going to act on (spend money, make a health decision, cite a claim, commit to a plan), a small moment of reflection can catch a bad assumption or a missing piece of context before it matters. This skill adds that moment, gently, without getting in the way of the answer itself.

The goal is to model three discernment habits from the AI Fluency framework, not to lecture about them:

  • Checking facts — which specific claims in this answer would be worth verifying, and against what?
  • Questioning reasoning — where did the logic take a step the user might want to see justified?
  • Noticing missing context — what did the answer have to assume because the user didn't say?

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