discernment-nudge

Append targeted reflection prompts to substantive AI answers.

173k|20.5k|Updated Sep 22, 2025
One-click install
npx skills add https://github.com/anthropics/skills --skill discernment-nudge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: discernment-nudge
Source: https://github.com/anthropics/skills/tree/main/skills/discernment-nudge
Command: npx skills add https://github.com/anthropics/skills --skill discernment-nudge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often accept AI-generated answers at face value, missing bad assumptions or missing context before acting on consequential advice, estimates, or drafted artifacts. This Skill adds a brief, specific reflection moment without disrupting the answer itself.

Core Features & Use Cases

  • Conditional Nudge Logic: Triggers only on substantive, actable answers such as recommendations, projections, drafted artifacts, factual claims, and multi-step reasoning, while skipping trivial lookups, creative writing, code execution, and educational explanations.
  • Specific Reflection Prompts: Generates two or three short, first-person follow-up questions tied to concrete facts, reasoning steps, or missing context in the answer.
  • Use Case: After the AI drafts a marketing plan with CPL estimates and a 70/30 budget split, the Skill appends prompts asking the user to compare the estimates to their vertical's benchmarks and to probe the reasoning behind the split.

Quick Start

Ask the AI for a business strategy recommendation and review the appended reflection prompts before acting on the advice.

Frequently Asked Questions about discernment-nudge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get AI to add fact-checking prompts to its answers?

Use a skill that triggers after substantive answers and appends two or three short follow-up questions tied to specific claims, reasoning steps, or assumptions in the response. The prompts should be phrased as first-person questions the user could send back verbatim.

When should AI answers include reflection prompts?

Include them when the answer contains estimates, consequential advice, factual claims the user will act on, multi-step reasoning, data interpretation, or drafted artifacts. Skip them for trivial lookups, creative writing, code execution, educational explanations, and when the user already asked for verification.

Can AI add critical thinking prompts without being annoying?

Yes, by limiting the nudge to once per conversation, keeping prompts under 120 characters each, and tying each prompt to something specific in the answer rather than generic questions like 'can you verify those facts?'

Why does AI give confident but wrong answers?

AI models generate plausible-sounding text based on patterns rather than verified facts, and they often fill in missing context with assumptions. Surfacing those assumptions as reflection prompts helps users catch errors before acting on the answer.

Should AI add caveats to every response?

No, caveats should be reserved for substantive, actable answers. Adding them to trivial lookups, creative writing, or educational explanations creates noise and can override explicit user requests for quick, unhedged responses.