Ui Design System logo

Ui Design System

Community
viralcode
ui-design-system

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

Overview

Publisherviralcode
Repositoryopenwhale
Skill nameui-design-system
Stars
65
Forks
11
Bundled files
6
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Ui Design System 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/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/ui-design-system .claude/skills/ui-design-system
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ui Design System 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 Ui Design System 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 Ui Design System 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.

UI Design System

Generate design tokens, create color palettes, calculate typography scales, build component systems, and prepare developer handoff documentation.


Table of Contents


Trigger Terms

Use this skill when you need to:

  • "generate design tokens"
  • "create color palette"
  • "build typography scale"
  • "calculate spacing system"
  • "create design system"
  • "generate CSS variables"
  • "export SCSS tokens"
  • "set up component architecture"
  • "document component library"
  • "calculate responsive breakpoints"
  • "prepare developer handoff"
  • "convert brand color to palette"
  • "check WCAG contrast"
  • "build 8pt grid system"

Workflows

Workflow 1: Generate Design Tokens

Situation: You have a brand color and need a complete design token system.

Steps:

  1. Identify brand color and style

    • Brand primary color (hex format)
    • Style preference: modern | classic | playful
  2. Generate tokens using script

    bash
    python scripts/design_token_generator.py "#0066CC" modern json
  3. Review generated categories

    • Colors: primary, secondary, neutral, semantic, surface
    • Typography: fontFamily, fontSize, fontWeight, lineHeight
    • Spacing: 8pt grid-based scale (0-64)
    • Borders: radius, width
    • Shadows: none through 2xl
    • Animation: duration, easing
    • Breakpoints: xs through 2xl
  4. Export in target format

    bash
    # CSS custom properties
    python scripts/design_token_generator.py "#0066CC" modern css > design-tokens.css
    
    # SCSS variables
    python scripts/design_token_generator.py "#0066CC" modern scss > _design-tokens.scss
    
    # JSON for Figma/tooling
    python scripts/design_token_generator.py "#0066CC" modern json > design-tokens.json
  5. Validate accessibility

    • Check color contrast meets WCAG AA (4.5:1 normal, 3:1 large text)
    • Verify semantic colors have contrast colors defined

Workflow 2: Create Component System

Situation: You need to structure a component library using design tokens.

Steps:

  1. Define component hierarchy

    • Atoms: Button, Input, Icon, Label, Badge
    • Molecules: FormField, SearchBar, Card, ListItem
    • Organisms: Header, Footer, DataTable, Modal
    • Templates: DashboardLayout, AuthLayout
  2. Map tokens to components

    ComponentTokens Used
    Buttoncolors, sizing, borders, shadows, typography
    Inputcolors, sizing, borders, spacing
    Cardcolors, borders, shadows, spacing
    Modalcolors, shadows, spacing, z-index, animation
  3. Define variant patterns

    Size variants:

    sm: height 32px, paddingX 12px, fontSize 14px
    md: height 40px, paddingX 16px, fontSize 16px
    lg: height 48px, paddingX 20px, fontSize 18px

    Color variants:

    primary: background primary-500, text white
    secondary: background neutral-100, text neutral-900
    ghost: background transparent, text neutral-700
  4. Document component API

    • Props interface with types
    • Variant options
    • State handling (hover, active, focus, disabled)
    • Accessibility requirements
  5. Reference: See references/component-architecture.md


Workflow 3: Responsive Design

Situation: You need breakpoints, fluid typography, or responsive spacing.

Steps:

  1. Define breakpoints

    NameWidthTarget
    xs0Small phones
    sm480pxLarge phones
    md640pxTablets
    lg768pxSmall laptops
    xl1024pxDesktops
    2xl1280pxLarge screens
  2. Calculate fluid typography

    Formula: clamp(min, preferred, max)

    css
    /* 16px to 24px between 320px and 1200px viewport */
    font-size: clamp(1rem, 0.5rem + 2vw, 1.5rem);

    Pre-calculated scales:

    css
    --fluid-h1: clamp(2rem, 1rem + 3.6vw, 4rem);
    --fluid-h2: clamp(1.75rem, 1rem + 2.3vw, 3rem);
    --fluid-h3: clamp(1.5rem, 1rem + 1.4vw, 2.25rem);
    --fluid-body: clamp(1rem, 0.95rem + 0.2vw, 1.125rem);
  3. Set up responsive spacing

    TokenMobileTabletDesktop
    --space-md12px16px16px
    --space-lg16px24px32px
    --space-xl24px32px48px
    --space-section48px80px120px
  4. Reference: See references/responsive-calculations.md


Workflow 4: Developer Handoff

Situation: You need to hand off design tokens to development team.

Steps:

  1. Export tokens in required formats

    bash
    # For CSS projects
    python scripts/design_token_generator.py "#0066CC" modern css
    
    # For SCSS projects
    python scripts/design_token_generator.py "#0066CC" modern scss
    
    # For JavaScript/TypeScript
    python scripts/design_token_generator.py "#0066CC" modern json
  2. Prepare framework integration

    React + CSS Variables:

    tsx
    import './design-tokens.css';
    
    <button className="btn btn-primary">Click</button>

    Tailwind Config:

    javascript
    const tokens = require('./design-tokens.json');
    
    module.exports = {
      theme: {
        colors: tokens.colors,
        fontFamily: tokens.typography.fontFamily
      }
    };

    styled-components:

    typescript
    import tokens from './design-tokens.json';
    
    const Button = styled.button`
      background: ${tokens.colors.primary['500']};
      padding: ${tokens.spacing['2']} ${tokens.spacing['4']};
    `;
  3. Sync with Figma

    • Install Tokens Studio plugin
    • Import design-tokens.json
    • Tokens sync automatically with Figma styles
  4. Handoff checklist

    • Token files added to project
    • Build pipeline configured
    • Theme/CSS variables imported
    • Component library aligned
    • Documentation generated
  5. Reference: See references/developer-handoff.md


Tool Reference

design_token_generator.py

Generates complete design token system from brand color.

ArgumentValuesDefaultDescription
brand_colorHex color#0066CCPrimary brand color
stylemodern, classic, playfulmodernDesign style preset
formatjson, css, scss, summaryjsonOutput format

Examples:

bash
# Generate JSON tokens (default)
python scripts/design_token_generator.py "#0066CC"

# Classic style with CSS output
python scripts/design_token_generator.py "#8B4513" classic css

# Playful style summary view
python scripts/design_token_generator.py "#FF6B6B" playful summary

Output Categories:

CategoryDescriptionKey Values
colorsColor palettesprimary, secondary, neutral, semantic, surface
typographyFont systemfontFamily, fontSize, fontWeight, lineHeight
spacing8pt grid0-64 scale, semantic (xs-3xl)
sizingComponent sizescontainer, button, input, icon
bordersBorder valuesradius (per style), width
shadowsShadow stylesnone through 2xl, inner
animationMotion tokensduration, easing, keyframes
breakpointsResponsivexs, sm, md, lg, xl, 2xl
z-indexLayer systembase through notification

Quick Reference Tables

Color Scale Generation

StepBrightnessSaturationUse Case
5095% fixed30%Subtle backgrounds
10095% fixed38%Light backgrounds
20095% fixed46%Hover states
30095% fixed54%Borders
40095% fixed62%Disabled states
500Original70%Base/default color
600Original × 0.878%Hover (dark)
700Original × 0.686%Active states
800Original × 0.494%Text
900Original × 0.2100%Headings

Typography Scale (1.25x Ratio)

SizeValueCalculation
xs10px16 ÷ 1.25²
sm13px16 ÷ 1.25¹
base16pxBase
lg20px16 × 1.25¹
xl25px16 × 1.25²
2xl31px16 × 1.25³
3xl39px16 × 1.25⁴
4xl49px16 × 1.25⁵
5xl61px16 × 1.25⁶

WCAG Contrast Requirements

LevelNormal TextLarge Text
AA4.5:13:1
AAA7:14.5:1

Large text: ≥18pt regular or ≥14pt bold

Style Presets

AspectModernClassicPlayful
Font SansInterHelveticaPoppins
Font MonoFira CodeCourierSource Code Pro
Radius Default8px4px16px
ShadowsLayered, subtleSingle layerSoft, pronounced

Knowledge Base

Detailed reference guides in references/:

FileContent
token-generation.mdColor algorithms, HSV space, WCAG contrast, type scales
component-architecture.mdAtomic design, naming conventions, props patterns
responsive-calculations.mdBreakpoints, fluid typography, grid systems
developer-handoff.mdExport formats, framework setup, Figma sync

Validation Checklist

Token Generation

  • Brand color provided in hex format
  • Style matches project requirements
  • All token categories generated
  • Semantic colors include contrast values

Component System

  • All sizes implemented (sm, md, lg)
  • All variants implemented (primary, secondary, ghost)
  • All states working (hover, active, focus, disabled)
  • Uses only design tokens (no hardcoded values)

Accessibility

  • Color contrast meets WCAG AA
  • Focus indicators visible
  • Touch targets ≥ 44×44px
  • Semantic HTML elements used

Developer Handoff

  • Tokens exported in required format
  • Framework integration documented
  • Design tool synced
  • Component documentation complete

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 Ui Design System AI skill do?

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

Why use Ui Design System on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/ui-design-system. 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 Ui Design System?

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 Ui Design System?

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

Is the Ui Design System AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. 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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