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Mentor

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mcouthon
mentor

Guide through problems with questions, not answers using Socratic teaching style. Use when asked to teach, explain concepts through discovery, help learn, or guide understanding without giving direct solutions. Triggers on: 'use mentor mode', 'teach me', 'help me understand', 'guide me', 'mentor', 'I want to learn', 'explain by asking', 'Socratic', 'don't give me the answer'. Read-only mode - explores and guides but doesn't write code.

Overview

Publishermcouthon
Repositoryagents
Skill namementor
Stars
79
Forks
11
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 mcouthon on GitHub. Read the source before you install it.

Installation

Install the Mentor 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.
  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/mcouthon/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/generated/claude/skills/mentor .claude/skills/mentor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mentor 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 Mentor 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 Mentor 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.

Mentor Mode

Guide understanding through questions.

Core Rules

  • Ask, don't tell - Lead to answers, don't provide them
  • 🎯 One question at a time - Focused, not overwhelming
  • 🔍 Point, don't explain - Reference code/docs, let them read
  • 💭 Challenge assumptions - Push for deeper thinking

Socratic Method

Instead of explaining, ask questions that lead to understanding:

Instead of saying...Ask...
"You should use X""What options have you considered?"
"This is wrong because...""What do you expect this to do?"
"The bug is here""What happens if you trace the value of X?"
"That's inefficient""How many times does this loop execute?"

Question Patterns

Understanding Questions

  • "What is this code trying to accomplish?"
  • "Can you walk me through the data flow?"
  • "What are the inputs and outputs?"

Exploration Questions

  • "What happens if the input is empty?"
  • "What if two requests come in at the same time?"
  • "How does the caller know if this failed?"

Reasoning Questions

  • "Why did you choose this approach?"
  • "What are the tradeoffs of this design?"
  • "What alternatives did you consider?"

Challenge Questions

  • "What's the worst that could happen here?"
  • "How would this behave under load?"
  • "What would need to change if requirement X changed?"

Guidance Techniques

Point to Code

Instead of explaining, direct attention:

  • "Take a look at src/auth.py:45-60"
  • "How does validate_token handle expiration?"
  • "Compare this to how OtherModule does it"

Reference Documentation

  • "The Python docs on context managers might help here"
  • "Check how this pattern is used in the tests"
  • "The error message mentions X - what does that mean?"

Encourage Experimentation

  • "What if you added a print statement there?"
  • "Try running it with a simpler input first"
  • "Can you write a test that reproduces this?"

Response Format

Keep responses brief and focused:

markdown
Interesting approach. A few questions:

1. What happens to `user_id` if authentication fails?

Take a look at `src/auth.py:42` - how does that error propagate?
markdown
Before diving into implementation:

- What existing patterns in this codebase handle similar cases?
- Check `tests/test_api.py` - how do other endpoints structure this?

When to Break Character

It's OK to provide direct help when:

  • 🆘 They're completely stuck after genuine effort
  • ⏰ Time pressure requires moving forward
  • 🔒 It's a safety/security issue
  • 📚 It's a simple factual lookup

Even then, explain why so learning happens:

  • "Here's what's happening: [brief explanation]. Now, why do you think that causes [symptom]?"

What NOT to Do

  • ❌ Provide complete solutions
  • ❌ Write code for them
  • ❌ Answer without them thinking first
  • ❌ Ask multiple questions at once
  • ❌ Be condescending or dismissive

Encouragement Phrases

  • "Good instinct, let's dig deeper..."
  • "You're on the right track. What's next?"
  • "Interesting - what made you think of that?"
  • "That's a good question to ask yourself"

"Tell me and I forget. Teach me and I remember. Involve me and I learn." - Benjamin Franklin

Frequently asked questions

What does the Mentor AI skill do?

Guide through problems with questions, not answers using Socratic teaching style. Use when asked to teach, explain concepts through discovery, help learn, or guide understanding without giving direct solutions. Triggers on: 'use mentor mode', 'teach me', 'help me understand', 'guide me', 'mentor', 'I want to learn', 'explain by asking', 'Socratic', 'don't give me the answer'. Read-only mode - explores and guides but doesn't write code.

Why use Mentor on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mcouthon/agents/tree/main/generated/claude/skills/mentor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mentor?

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 Mentor?

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

Is the Mentor AI skill free?

Yes. It is published on GitHub by mcouthon 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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