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Design

Community
ilyasibrahim
design

Unified design system for data/ML dashboards. Quick reference for brand vs data color decisions, component patterns, typography, spacing. Auto-invokes on styling, CSS, design, colors, UI, visualization keywords. Tiered loading - core always, philosophy/implementation on-demand.

Overview

Publisherilyasibrahim
Repositoryclaude-agents-coordination
Skill namedesign
Stars
83
Forks
15
Bundled files
2
LicenseUnlicense
Links
Skill sourceRepository
  • 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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Design 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/ilyasibrahim/claude-agents-coordination.git /tmp/claude-agents-coordination
mkdir -p .claude/skills
cp -r /tmp/claude-agents-coordination/claude-user/skills/design .claude/skills/design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design 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 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 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 (Core)

Quick Decision

UI element or data visualization?

  • UI Element → Brand Colors (#0176D3, #032D60)
  • Data Visualization → Data Colors (#33BBEE, #0077BB, sequence)

Never mix brand and data colors in same context.

Brand Colors (UI Only)

css
--tableau-blue: #0176D3;       /* Primary CTA */
--tableau-navy: #032D60;       /* Headings, nav */
--tableau-green: #00A651;      /* Success */
--tableau-bg-light: #EAF5FE;   /* Backgrounds */
--tableau-text: #333333;       /* Body text */
--tableau-border: #EBEBEB;     /* Borders */

Data Colors (Charts Only)

css
--data-1: #33BBEE;  /* Primary cyan */
--data-2: #0077BB;  /* Primary blue */
--data-3: #66CCEE;  /* Light cyan */
--data-4: #4477AA;  /* Light blue */
--data-5: #44AA99;  /* Teal */
--data-error: #EE6677;  /* Red (errors) */
--data-neutral: #BBBBBB; /* Grey (baseline) */

Sequence: ['#33BBEE', '#0077BB', '#66CCEE', '#4477AA', '#44AA99']

Typography

css
--font-heading: 'Space Grotesk', sans-serif;
--font-body: 'Inter', sans-serif;
--font-code: 'Fira Code', monospace;

--text-hero: 2.25rem;   /* 36px */
--text-h1: 1.875rem;    /* 30px */
--text-h2: 1.5rem;      /* 24px */
--text-body: 1rem;      /* 16px */
--text-small: 0.875rem; /* 14px */

Spacing

css
--space-2: 0.5rem;   /* 8px */
--space-4: 1rem;     /* 16px */
--space-6: 1.5rem;   /* 24px */
--space-8: 2rem;     /* 32px - card padding */
--space-12: 3rem;    /* 48px - section gap */

Shadows (Dual-Layer)

css
--shadow-sm: 0 1px 3px rgba(0,0,0,0.1), 0 1px 2px rgba(0,0,0,0.1);
--shadow-md: 0 4px 6px rgba(0,0,0,0.1), 0 2px 4px rgba(0,0,0,0.1);
--shadow-lg: 0 10px 15px rgba(0,0,0,0.1), 0 4px 6px rgba(0,0,0,0.05);

Component Patterns

Button (Brand)

css
.btn-primary {
  background: var(--tableau-blue);
  color: white;
  padding: 14px 32px;
  border-radius: 6px;
}
.btn-primary:hover { transform: translateY(-2px); }

Card (Brand)

css
.card {
  background: white;
  border: 1px solid var(--tableau-border);
  border-radius: 16px;
  padding: var(--space-8);
  box-shadow: var(--shadow-sm);
}

Data Card (Data Colors)

css
.data-card {
  border-top: 4px solid var(--data-1);
}
.data-card__value {
  color: var(--data-2);
  font-size: var(--text-h1);
  font-family: var(--font-heading);
}

Chart.js Setup

javascript
const chartColors = ['#33BBEE', '#0077BB', '#66CCEE', '#4477AA', '#44AA99'];

new Chart(ctx, {
  data: {
    datasets: [
      { backgroundColor: chartColors[0] },
      { backgroundColor: chartColors[1] }
    ]
  },
  options: {
    plugins: {
      legend: { labels: { color: '#333333' } } // Brand for UI
    }
  }
});

Accessibility

  • Contrast: 4.5:1 minimum (WCAG AA)
  • Focus: 3px outline, brand blue
  • Touch: 44x44px minimum targets

Extended Reference

For philosophy and full implementation details:

  • Philosophy: skills/design/philosophy.md
  • Full implementation: skills/design/implementation.md

Version: 3.0.0

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 Design AI skill do?

Unified design system for data/ML dashboards. Quick reference for brand vs data color decisions, component patterns, typography, spacing. Auto-invokes on styling, CSS, design, colors, UI, visualization keywords. Tiered loading - core always, philosophy/implementation on-demand.

Why use Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ilyasibrahim/claude-agents-coordination/tree/main/claude-user/skills/design. 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 Design?

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?

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

Is the Design AI skill free?

Yes. It is published on GitHub by ilyasibrahim under the Unlicense 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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