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Design Tokens Theming

Community
param087
design-tokens-theming

Use when setting up a design system — color, typography, and spacing scales as CSS variables, the shadcn/ui theme, and dark mode. Covers semantic tokens, Tailwind wiring, and consistent theming across components.

Overview

Publisherparam087
Repositorysaas-ui-skills
Skill namedesign-tokens-theming
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 param087 on GitHub. Read the source before you install it.

Installation

Install the Design Tokens Theming 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/param087/saas-ui-skills/tree/main/skills/design-tokens-theming
  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/param087/saas-ui-skills.git /tmp/saas-ui-skills
mkdir -p .claude/skills
cp -r /tmp/saas-ui-skills/skills/design-tokens-theming .claude/skills/design-tokens-theming
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Tokens Theming 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 Tokens Theming 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 Tokens Theming 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 Tokens & Theming

Overview

A SaaS UI looks "designed" when every color, space, and font size comes from a small, named scale — not arbitrary values sprinkled per component. Define tokens once as CSS variables, expose them through Tailwind, and let dark mode be a swap of variable values, not a rewrite of class names.

When to use

  • Starting a new app and deciding colors/spacing/typography.
  • Components use raw hex codes or one-off pixel values.
  • You need dark mode or multi-brand theming.

Semantic tokens (the key idea)

Name tokens by role, not by hue. --primary, --muted, --destructive — not --blue-500. Roles let you re-theme without touching components. shadcn/ui uses exactly this convention:

css
/* globals.css */
:root {
  --background: 0 0% 100%;
  --foreground: 240 10% 3.9%;
  --primary: 240 5.9% 10%;
  --primary-foreground: 0 0% 98%;
  --muted: 240 4.8% 95.9%;
  --muted-foreground: 240 3.8% 46.1%;
  --destructive: 0 84.2% 60.2%;
  --border: 240 5.9% 90%;
  --radius: 0.5rem;
}
.dark {
  --background: 240 10% 3.9%;
  --foreground: 0 0% 98%;
  --primary: 0 0% 98%;
  --primary-foreground: 240 5.9% 10%;
  --muted: 240 3.7% 15.9%;
  --muted-foreground: 240 5% 64.9%;
  --border: 240 3.7% 15.9%;
}

Store HSL channels (no hsl(...) wrapper) so Tailwind can add opacity: hsl(var(--primary) / 0.5).

Wire tokens into Tailwind

ts
// tailwind.config.ts
export default {
  darkMode: "class",
  theme: {
    extend: {
      colors: {
        background: "hsl(var(--background))",
        foreground: "hsl(var(--foreground))",
        primary: { DEFAULT: "hsl(var(--primary))", foreground: "hsl(var(--primary-foreground))" },
        muted: { DEFAULT: "hsl(var(--muted))", foreground: "hsl(var(--muted-foreground))" },
        border: "hsl(var(--border))",
      },
      borderRadius: { lg: "var(--radius)", md: "calc(var(--radius) - 2px)" },
    },
  },
};

Now bg-primary text-primary-foreground works in both themes automatically.

Dark mode toggle

Use next-themes (or a tiny class toggler) and darkMode: "class". Never hard-code dark: colors when a semantic token already flips — bg-background beats bg-white dark:bg-zinc-950.

Scales to standardize

  • Spacing: stick to Tailwind's 4px scale (p-2, gap-4, space-y-6). Avoid p-[13px].
  • Typography: a 5–6 step type scale (text-sm→text-3xl); set text-muted-foreground for secondary text.
  • Radius/shadow: one --radius token; 2–3 shadow steps.

Pitfalls

  • Raw hex/px values per component → inconsistent UI that can't be re-themed.
  • dark: overrides everywhere instead of flipping tokens once.
  • Naming tokens by color (--blue) instead of role (--primary).
  • Wrapping hsl() in the variable — breaks Tailwind opacity modifiers.
  • Too many shades — a bloated palette is harder to keep consistent than a tight one.

Hand-off

A token layer that responsive-layout, accessible-components, and every component skill build on — change a value once, the whole app re-themes.

Frequently asked questions

What does the Design Tokens Theming AI skill do?

Use when setting up a design system — color, typography, and spacing scales as CSS variables, the shadcn/ui theme, and dark mode. Covers semantic tokens, Tailwind wiring, and consistent theming across components.

Why use Design Tokens Theming on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/param087/saas-ui-skills/tree/main/skills/design-tokens-theming. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Tokens Theming?

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 Tokens Theming?

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

Is the Design Tokens Theming AI skill free?

Yes. It is published on GitHub by param087 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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