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Teaching Taste

Community
Dragoon0x
teaching-taste

Help other designers develop judgment without imposing your style. Use when mentoring designers, running design education, or building team-wide quality standards.

Overview

PublisherDragoon0x
Repositorytaste-skills
Skill nameteaching-taste
Stars
6
Forks
3
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 Dragoon0x on GitHub. Read the source before you install it.

Installation

Install the Teaching Taste 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/Dragoon0x/taste-skills/tree/main/skills/team-practice/teaching-taste
  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/Dragoon0x/taste-skills.git /tmp/taste-skills
mkdir -p .claude/skills
cp -r /tmp/taste-skills/skills/team-practice/teaching-taste .claude/skills/teaching-taste
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Teaching Taste 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 Teaching Taste 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 Teaching Taste 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.

Teaching Taste

Teach judgment, not your personal style.

How to use

  • /teaching-taste Apply teaching constraints to mentoring and education in this conversation.

Constraints

Teaching Methods That Work

  • Guided deconstruction: Look at a design together. Ask questions until they see the principle.
  • Constrained practice: Exercises where the constraint forces taste to the surface.
  • Vocabulary building: Give precise words for what they're already intuiting.
  • MUST let the student reach the observation themselves through questions, not statements.

Teaching Methods That Don't

  • Rules without reasoning ("always use an 8px grid" teaches compliance, not judgment)
  • Exposure without analysis ("look at these great designs" creates appreciation, not skill)
  • Feedback without vocabulary ("this doesn't feel right" teaches nothing actionable)

Avoiding Style Imposition

  • MUST teach principles, not preferences. "Hierarchy should match content priority" is a principle. "I prefer tighter spacing" is a preference.
  • MUST celebrate diverse expressions of the same principle. Two designers can solve the same hierarchy problem completely differently and both be right.
  • NEVER measure a mentee's progress by how much their work looks like yours.

Tracking Growth

  • Specificity of feedback (are reviews getting more precise?)
  • Speed of identification (do they spot issues faster?)
  • Range of reference (are they pulling from wider sources?)
  • Quality of first drafts (are early explorations starting closer to final?)
  • Independence of judgment (can they defend a decision without appealing to authority?)

Anti-Patterns

  • Making every critique about your preferences
  • Gatekeeping ("you just don't have the eye for it")
  • Confusing speed with taste (a slow correct answer is still correct)

Frequently asked questions

What does the Teaching Taste AI skill do?

Help other designers develop judgment without imposing your style. Use when mentoring designers, running design education, or building team-wide quality standards.

Why use Teaching Taste on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dragoon0x/taste-skills/tree/main/skills/team-practice/teaching-taste. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Teaching Taste?

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 Teaching Taste?

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

Is the Teaching Taste AI skill free?

Yes. It is published on GitHub by Dragoon0x 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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