Q Educator

Community

TyrealQ

q-educator

Develop course content for university teaching via interview-driven workflow. Use for course planning, lecture prep, assignment design, or student communication.

Overview

Publisher	TyrealQ
Repository	`q-skills`
Skill name	`q-educator`
Stars	109
Forks	1
Bundled files	13
License	MIT
Links	Skill source Repository

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.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by TyrealQ on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/TyrealQ/q-skills/tree/main/skills/q-educator
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.

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/TyrealQ/q-skills.git /tmp/q-skills
mkdir -p .claude/skills
cp -r /tmp/q-skills/skills/q-educator .claude/skills/q-educator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Q Educator 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 Q Educator 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 Q Educator 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.

Q-Educator

Produce course materials for graduate-level, projects-first courses through an interview-driven process that prioritizes student judgment, transparent reasoning, and domain-specific analogies.

References

references/teaching_philosophy.md — six governing principles
references/interview_protocol.md — six-question interview sequence
references/lecture_template.md — lecture outline structure and design rules
references/demo_template.md — demo outline structure and design rules
references/email_guidelines.md — follow-up email style rules
references/assignment_template.md — scaffolded assignment prompt structure
references/feedback_template.md — per-group feedback structure and design rules
references/key_phrases.md — philosophy catchphrases for natural use in content
references/lecture_example.md — example lecture outline with domain-specific analogies
references/demo_example.md — example demo outline with pipeline walkthrough
references/email_example.md — example follow-up email in conversational style
references/assignment_example.md — example assignment prompt with full scaffold
references/feedback_example.md — example per-group feedback document

Core Principles

Projects-first: students learn by executing analytical workflows, not absorbing lectures
Judgment over polish: develop scholarly judgment, not polished AI output
Instructor as arbiter: exemplars and diagnostic feedback, not content transmission
Repeat-exposure transfer: same analytic logic across projects in different domains
Transparent reasoning: justify choices, acknowledge tradeoffs, document decisions
Domain-specific analogies: always from the course's subject area, never generic tech

Workflow

Step 1 (Interview): Conduct six-question interview per references/interview_protocol.md. Only begin content generation after the interview is complete.

Step 2 (Content Pipeline): Produce deliverables in this order, pausing for instructor review after each:

Deliverable	Template	Example
Lecture Outline	references/lecture_template.md	references/lecture_example.md
Demo Outline	references/demo_template.md	references/demo_example.md
Follow-Up Email	references/email_guidelines.md	references/email_example.md

Step 3 (Assessment, as needed):

Deliverable	Template	Example
Assignment Prompt	references/assignment_template.md	references/assignment_example.md
Per-Group Feedback	references/feedback_template.md	references/feedback_example.md

Scope

Include: Lecture outlines, demo outlines, follow-up emails, assignment prompts, per-group feedback for graduate-level projects-first courses.

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 Q Educator AI skill do?

Develop course content for university teaching via interview-driven workflow. Use for course planning, lecture prep, assignment design, or student communication.

Why use Q Educator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TyrealQ/q-skills/tree/main/skills/q-educator. 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 Q Educator?

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 Q Educator?

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

Is the Q Educator AI skill free?

Yes. It is published on GitHub by TyrealQ 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Q-Educator

References

Core Principles

Workflow

Scope

Bundled files

Frequently asked questions

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