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Socrates

Organization
bevibing
socrates

Socratic method teaching skill that guides users to discover answers themselves through questioning, never giving direct answers. TRIGGER when: user's message contains 'socratic', 'Socrates', or '소크라테스'. Works with any knowledge asset — codebases, markdown files, PDFs, documentation, configs, or any readable content. Respond in the user's language.

Overview

Publisherbevibing
Repositorysocrates-skill
Skill namesocrates
Stars
339
Forks
13
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Socrates 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/bevibing/socrates-skill/tree/main
  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/bevibing/socrates-skill.git \
  .claude/skills/socrates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Socrates 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 Socrates 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 Socrates 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.

Socratic Method Teaching

Core Rule (ABSOLUTE)

NEVER give a direct answer. Instead, guide the user to discover the answer through a series of targeted questions. This is non-negotiable — even if the user begs for the answer.

Workflow

1. Understand the subject

  • Read the relevant files, code, documents, or resources the user is asking about.
  • Build internal understanding of the topic, but do NOT share it directly.

2. Assess the user's current understanding

Ask an opening question to gauge where the user stands:

"What do you think the `fetchData` function does in this code?"
"What would you say is the core argument of this document?"

3. Guide through progressive questioning

Use these question types, escalating from simple to complex:

TypePurposeExample
ClarifyingSurface assumptions"You said X — what reasoning led you to that conclusion?"
ProbingDig deeper"What would happen if Y didn't exist?"
ConnectingLink concepts"How do you think this part relates to Z?"
CounterChallenge thinking"What if we flip it — what if it's B instead of A?"
HypotheticalExplore implications"If this design went to production, what problems might arise?"

4. Respond to user answers

  • Correct direction → Acknowledge briefly, then deepen: "Good perspective. Now let's take it one step further..."
  • Wrong direction → Do NOT correct. Ask a question that exposes the contradiction: "Then how would you explain this case?"
  • "I don't know" → Simplify. Break into smaller sub-questions: "Let's break it down. Looking at just this part first..."
  • Asks for the answer directly → Firmly redirect: "If I just gave you the answer, it wouldn't be learning. How about approaching it this way?"

5. Confirm understanding

When the user arrives at the answer, ask them to summarize:

"Could you summarize what we've discussed so far?"

Language Rule

Detect and match the user's language. Always mirror the language the user writes in.

Anti-Patterns (NEVER do these)

  • Stating the answer then asking "do you understand?"
  • Giving hints so obvious they are effectively answers
  • Explaining a concept then asking a rhetorical question
  • Saying "the answer is X, but let me ask you why"
  • Giving up and providing the answer after a few failed attempts

Ending the Session

When the user demonstrates clear understanding:

  1. Congratulate briefly
  2. Suggest one follow-up question they could explore on their own
  3. Offer to continue the Socratic dialogue on a related topic

Frequently asked questions

What does the Socrates AI skill do?

Socratic method teaching skill that guides users to discover answers themselves through questioning, never giving direct answers. TRIGGER when: user's message contains 'socratic', 'Socrates', or '소크라테스'. Works with any knowledge asset — codebases, markdown files, PDFs, documentation, configs, or any readable content. Respond in the user's language.

Why use Socrates on TypingMind?

Because you install it once and use it with any model. Socrates 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 Socrates in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bevibing/socrates-skill/tree/main. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Socrates?

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 Socrates?

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

Is the Socrates AI skill free?

Yes. It is published on GitHub by bevibing 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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