ai-socratic-dialogue-designer

Design multi-round Socratic dialogues that track AI answer drift and capitulation.

Updated Jun 14, 2026
One-click install
npx skills add https://github.com/vvieira010-pixel/education-agent-skills --skill ai-socratic-dialogue-designer-vvieira010-pixel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-socratic-dialogue-designer
Source: https://github.com/vvieira010-pixel/education-agent-skills/tree/main/Users/vviei/education-agent-skills-main/skills/ai-literacy/ai-socratic-dialogue-designer
Command: npx skills add https://github.com/vvieira010-pixel/education-agent-skills --skill ai-socratic-dialogue-designer-vvieira010-pixel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps educators address the challenge of students mistaking AI agreement for evidence by creating structured interrogations that reveal whether AI responses reflect genuine reasoning updates or simple capitulation to user pressure.

Core Features & Use Cases

  • Multi-round Socratic Design: Creates staged questioning sequences based on critical thinking frameworks to probe AI claims, assumptions, evidence, and perspectives.
  • AI Behaviour Analysis: Provides answer drift tracking and capitulation taxonomies to help students identify sycophancy, uncertainty shifts, and genuine logical updates.
  • Use Case: A teacher can use this Skill to design an AI literacy lesson where students challenge an AI explanation, record response changes, and discuss whether the AI changed because of evidence or because of disagreement.

Quick Start

Ask the skill to design a four-round Socratic dialogue for students investigating an AI claim about a chosen topic.

Frequently Asked Questions about ai-socratic-dialogue-designer

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

FAQPage Schema
How do I design Socratic questioning sequences for AI literacy lessons?

Socratic questioning sequences for AI literacy lessons are designed by generating multi-round dialogues that probe AI claims, assumptions, and evidence. This skill structures staged questioning based on critical thinking frameworks to guide educational investigations.

What is the best way to detect AI sycophancy and capitulation in student chatbot evaluations?

AI sycophancy and capitulation are detected through answer drift tracking and capitulation taxonomies. This skill helps students distinguish whether AI response changes reflect genuine reasoning updates or simple agreement-driven capitulation to user pressure.

Can I use this to track answer drift when an AI changes its explanation during a classroom discussion?

Yes, you can track answer drift when an AI changes its explanation during classroom discussions. The skill provides structured dialogue generation and facilitation guidance to help students record and analyze response changes systematically.

How do I create a multi-round dialogue that challenges students to evaluate an AI claim?

You create a multi-round dialogue that challenges students to evaluate an AI claim by requesting a staged questioning sequence. The skill generates structured interrogations that probe AI perspectives and assumptions for critical thinking activities.

Does this skill provide facilitation guidance for teachers leading chatbot behaviour investigations?

Yes, this skill provides facilitation guidance for teachers leading chatbot behaviour investigations. It includes structured dialogue generation and capitulation analysis specifically designed for teacher-led investigations of AI behaviour in educational contexts.