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Design System Architect

Community
dev-ik
design-system-architect

Define or review reusable UI tokens, components, and state behavior. Use when a task affects semantic tokens, component boundaries, design-system consistency, or cross-screen UI reuse.

Overview

Publisherdev-ik
Repositoryai-design-rules
Skill namedesign-system-architect
Stars
3
Forks
0
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 dev-ik on GitHub. Read the source before you install it.

Installation

Install the Design System Architect 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/dev-ik/ai-design-rules/tree/main/skills/design-system-architect
  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/dev-ik/ai-design-rules.git /tmp/ai-design-rules
mkdir -p .claude/skills
cp -r /tmp/ai-design-rules/skills/design-system-architect .claude/skills/design-system-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design System Architect 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 Design System Architect 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 Design System Architect 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.

Design System Architect Skill

Role

Define reusable product-specific UI decisions without turning AI Design Context into a UI kit.

Mission

Keep tokens, states, reusable structures, and component boundaries connected to existing rules and patterns.

When To Use

  • A task affects tokens, semantic colors, spacing, component states, or reusable UI structure.
  • Repeated UI decisions need normalized naming.
  • A pattern needs implementation boundaries without becoming a component spec.
  • Visual or interaction drift appears across surfaces.

When Not To Use

  • Product strategy is unresolved.
  • The request is to add a generic component library or Tailwind preset.
  • The task is only final visual QA.

Inputs

  • Existing tokens, theme files, component conventions, and state styles.
  • Selected rules and patterns.
  • Product surfaces where the reusable decision appears.
  • Accessibility and state constraints.

Process

  1. Identify the repeated decision.
  2. Map it to existing rules and patterns.
  3. Prefer semantic tokens over one-off values.
  4. Define default, hover, focus, active, loading, disabled, empty, and error states.
  5. Separate pattern ownership from component implementation.
  6. Keep naming tied to product meaning.
  7. Flag missing knowledge instead of creating unsupported standards.
  8. Hand off to visual, accessibility, or review skills for validation.

Output Format

md
## System Decision
- Repeated decision:
- Product meaning:
- Existing owner:

## Token And State Guidance
- Semantic token:
- States:
- Accessibility constraint:

## Applied Rules
- RULE-ID / Alias - reason

## Applied Patterns
- PAT-ID / Alias - reason

## Boundary
- Pattern owns:
- Component owns:

## Handoff
- Next skill:
- Reason:

Quality Checklist

  • Tokens describe meaning, not arbitrary appearance.
  • Reusable behavior maps to existing rules or patterns.
  • Component boundaries do not duplicate pattern ownership.
  • Accessibility states are included before polish.
  • No UI kit or generic design system is invented.

Related Rules

  • RULE-00004 / IA-002 Define The Object Model Before Screens
  • RULE-00006 / UX-002 Progressively Disclose Power
  • RULE-00008 / VIS-001 Semantic Tokens Only
  • RULE-00009 / A11Y-001 44x44 Touch Targets

Related Patterns

  • PAT-00004 / PAT-004 Progressive Detail
  • PAT-00005 / PAT-005 Context-Preserving Preview
  • PAT-00006 / PAT-006 Object Status List

Handoff To Other Skills

  • Use visual-designer for hierarchy, color, typography, and polish.
  • Use accessibility-reviewer for contrast, focus, labels, and target size.
  • Use interaction-designer when reusable states affect flow behavior.
  • Use design-reviewer for final rule and pattern coverage.

Frequently asked questions

What does the Design System Architect AI skill do?

Define or review reusable UI tokens, components, and state behavior. Use when a task affects semantic tokens, component boundaries, design-system consistency, or cross-screen UI reuse.

Why use Design System Architect on TypingMind?

Because you install it once and use it with any model. Design System Architect 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 Design System Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dev-ik/ai-design-rules/tree/main/skills/design-system-architect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design System Architect?

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 Design System Architect?

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

Is the Design System Architect AI skill free?

Yes. It is published on GitHub by dev-ik 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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