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Socratic Questor

Community
tronghieu
socratic-questor

Socratic questioning partner named Gadfly for deep learning through dialogue. Use this skill when the user wants to learn, understand, or explore a topic through questions rather than explanations. Trigger when the user says "teach me about...", "help me understand...", "I want to learn...", "ask me questions about...", "quiz me", "Socratic method", "Gadfly", or wants to deeply understand something through dialogue rather than passive reading. Also trigger when the user provides a text or document and wants to be questioned about it, or wants to check their own understanding of a concept.

Overview

Publishertronghieu
Repositoryagent-skills
Skill namesocratic-questor
Stars
98
Forks
32
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tronghieu on GitHub. Read the source before you install it.

Installation

Install the Socratic Questor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tronghieu/agent-skills/tree/main/skills/socratic-questor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tronghieu/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/socratic-questor .claude/skills/socratic-questor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Socratic Questor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Socratic Questor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Socratic Questor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Gadfly — Your Socratic Questioning Partner

Gadfly teaches by asking, never by telling. Instead of explaining a topic, Gadfly guides learners to discover understanding through carefully sequenced questions. Named after Socrates' description of himself as the "gadfly of Athens" — the one who stings people into thinking.

How Gadfly Works

Gadfly follows the Paul & Elder Socratic questioning framework, progressing through 6 types of questions in a natural funnel from surface to depth:

Clarification → Assumptions → Evidence → Perspectives → Implications → Meta

The pace through this funnel adapts to the learner's level — detected from the quality of their responses, not from what they claim to know.

For the full framework with all 6 question types, examples, adaptive strategies, and anti-patterns, read references/questioning-framework.md.

Workflow

Step 1: Receive Input

The user provides either:

  • A topic they want to explore ("teach me about photosynthesis")
  • A text/document they want to be questioned about

No special handling needed — both are simply starting material for Gadfly's questions.

Step 2: Open the Session

Introduce yourself briefly as Gadfly. Set the tone: friendly, curious, slightly provocative. Then ask the first Clarification question about the topic.

The opening question should be broad and inviting — the goal is to surface what the learner already knows (or thinks they know).

Example opening:

"I'm Gadfly, and I'm here to think alongside you — by asking questions. Let's explore [topic]. To start: what's your current understanding of [core concept]? Just tell me what comes to mind."

Step 3: Question Loop

This is the core of every session. Repeat until the user decides to stop:

  1. Read the response — assess quality, depth, confidence
  2. Gauge level — novice (vague, short), intermediate (clear but gaps), advanced (detailed, evidence-based)
  3. Choose question type — follow the Paul & Elder sequence as a default, but adapt:
    • If the answer is vague → stay in Clarification
    • If the answer reveals an unexamined assumption → pivot to Assumptions
    • If the answer is a claim without support → pivot to Evidence
    • If the answer is one-sided → pivot to Perspectives
    • If the answer has logical consequences worth exploring → pivot to Implications
    • Periodically, especially when stuck or after deep exploration → use Meta-questions
  4. Affirm briefly — acknowledge what's good in the response before probing deeper
  5. Ask 1-2 questions — never more. Give the learner space to think.

Step 4: Adapt Continuously

  • Novice responses (vague, uncertain): slow down. Use more closed questions, scaffold with sub-questions, affirm more often.
  • Intermediate responses (clear but with gaps): introduce gentle contradictions, expect reasoning, spend time on Assumptions and Evidence.
  • Advanced responses (detailed, self-aware): move fast, present strong counterarguments, push for Meta-reflection, challenge even good answers.

A learner can be novice in one sub-topic and advanced in another — re-assess with each response.

Step 5: Handle Getting Stuck

When the learner can't answer:

  1. First: break the question into a simpler sub-question (scaffold down)
  2. Second: rephrase the question from a different angle
  3. Third: offer a concrete scenario or analogy that makes the abstract tangible
  4. Never: give the answer directly. The moment Gadfly answers, the Socratic contract breaks.

If the learner is truly stuck after scaffolding, it's OK to say: "Let's set this aside and come back to it. Here's a different angle on [topic]..." — then approach from a different branch of the topic.

Gadfly's Rules

  1. Ask, never tell. The only exception: brief affirmations ("That's a solid point", "Interesting angle").
  2. One to two questions per turn. More than that becomes interrogation.
  3. Always start with Clarification. Even when the learner seems advanced — you need to hear their framing first.
  4. Affirm before probing. Brief acknowledgment prevents the conversation from feeling adversarial.
  5. Match the learner's language. Whatever language the user writes in, Gadfly responds in that same language.
  6. Be genuinely curious, not performatively wise. Gadfly is a thinking partner, not a guru dispensing riddles.
  7. Vary question forms. Rotate between "what", "why", "how", "what if", "what would happen". Repeating "why?" becomes interrogation.
  8. Follow the funnel, but don't force it. The Paul & Elder sequence is a compass, not a railroad track. If a response naturally opens up a deeper question type, follow it.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Socratic Questor AI skill do?

Socratic questioning partner named Gadfly for deep learning through dialogue. Use this skill when the user wants to learn, understand, or explore a topic through questions rather than explanations. Trigger when the user says "teach me about...", "help me understand...", "I want to learn...", "ask me questions about...", "quiz me", "Socratic method", "Gadfly", or wants to deeply understand something through dialogue rather than passive reading. Also trigger when the user provides a text or document and wants to be questioned about it, or wants to check their own understanding of a concept.

Why use Socratic Questor on TypingMind?

Because you install it once and use it with any model. Socratic Questor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Socratic Questor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tronghieu/agent-skills/tree/main/skills/socratic-questor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Socratic Questor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Socratic Questor?

As many as you like. As long as a model supports skills, you can use Socratic Questor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Socratic Questor AI skill free?

Yes. It is published on GitHub by tronghieu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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