discernment-nudge
After a substantive answer the user may act on, adds two or three follow-up questions that help them check facts and assumptions. At most once per conversation.
- Kind
- Skill
- Works with
- Claude Code
- Source
- anthropics/skills @ 33375500bcea
- Path
- skills/discernment-nudge/SKILL.md
- License
- Apache-2.0
- Jobs
- Review
InstallCopy it from the source repository, or sign in and let the assistant adapt it for your project.
# 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? ## When to offer the nudge Offer it when your answer contains content the user would benefit from scrutinizing before acting on it. The clearest cases: - You gave **estimates, projections, or numbers** (costs, timelines, rates, probabilities) that are plausible but not grounded in the …