Radius Scale logo

Radius Scale

Community
dylantarre
radius-scale

Generates border-radius tokens from sharp to pill shapes. Use when creating corner rounding systems, button radius, card corners, or input styling. Outputs CSS, Tailwind, or JSON.

Overview

Publisherdylantarre
Repositorydesign-system-skills
Skill nameradius-scale
Stars
50
Forks
4
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 dylantarre on GitHub. Read the source before you install it.

Installation

Install the Radius Scale 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/dylantarre/design-system-skills/tree/main/skills/tokens/radius-scale
  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/dylantarre/design-system-skills.git /tmp/design-system-skills
mkdir -p .claude/skills
cp -r /tmp/design-system-skills/skills/tokens/radius-scale .claude/skills/radius-scale
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Radius Scale 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 Radius Scale 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 Radius Scale 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.

Radius Scale Generator

Overview

Generate consistent border-radius scales from sharp to pill-shaped. Creates harmonious rounding that scales appropriately with element size for visual consistency.

When to Use

  • Setting up radius tokens for a new project
  • Standardizing corner rounding across components
  • Creating button/card/input styling consistency
  • Building component-size-aware radius systems

Quick Reference

LevelTypical ValueUse Case
none0Sharp corners, tables
sm2-4pxSubtle rounding, inputs
md6-8pxButtons, cards
lg12-16pxModals, large cards
xl20-24pxPanels, containers
2xl32px+Feature sections
full9999pxPills, avatars, badges

The Process

  1. Get base radius: Default 8px (balanced starting point)
  2. Get ratio: How much each step grows (1.5-2 typical)
  3. Ask steps: How many radius values (5-7 typical)
  4. Ask unit: px or rem?
  5. Ask format: CSS, Tailwind, or JSON?
  6. Include full?: Add "full" (9999px) for pills? (default: yes)
  7. Generate: Create scale centered on base

Common Scales

CharacterBaseRatioResult
Subtle4px1.52, 3, 4, 6, 9, 13
Balanced8px22, 4, 8, 16, 32
Rounded12px1.55, 8, 12, 18, 27, 40
Soft16px1.57, 11, 16, 24, 36, 54

Output Formats

CSS Custom Properties:

css
:root {
  --radius-none: 0;
  --radius-sm: 4px;
  --radius-md: 8px;
  --radius-lg: 16px;
  --radius-xl: 24px;
  --radius-2xl: 32px;
  --radius-full: 9999px;
}

Tailwind Config:

js
module.exports = {
  theme: {
    borderRadius: {
      'none': '0',
      'sm': '4px',
      'md': '8px',
      'lg': '16px',
      'xl': '24px',
      '2xl': '32px',
      'full': '9999px',
    }
  }
}

JSON Tokens:

json
{
  "radius": {
    "none": { "value": "0" },
    "sm": { "value": "4px" },
    "md": { "value": "8px" },
    "lg": { "value": "16px" },
    "xl": { "value": "24px" },
    "2xl": { "value": "32px" },
    "full": { "value": "9999px" }
  }
}

Contextual Radius

Larger elements often need proportionally larger radius. Consider semantic tokens:

CSS with contextual tokens:

css
:root {
  /* Base scale */
  --radius-sm: 4px;
  --radius-md: 8px;
  --radius-lg: 16px;

  /* Semantic/contextual */
  --radius-button: var(--radius-md);
  --radius-input: var(--radius-sm);
  --radius-card: var(--radius-lg);
  --radius-modal: var(--radius-xl);
  --radius-badge: var(--radius-full);
  --radius-avatar: var(--radius-full);
}

Algorithm

The scale uses exponential growth from a base:

value = baseValue * (ratio ^ (step - midpoint))

For a 7-step scale with base 8px and ratio 2:

  • Step 0 (3 below): 8 * 2^-3 = 1px
  • Step 3 (mid): 8 * 2^0 = 8px
  • Step 6 (3 above): 8 * 2^3 = 64px

Values are typically rounded to clean numbers.

Design Considerations

Consistency rule: Inner radius = outer radius - border/padding

css
/* Card with nested element */
.card {
  border-radius: var(--radius-lg); /* 16px */
  padding: 8px;
}
.card-inner {
  border-radius: calc(var(--radius-lg) - 8px); /* 8px */
}

Squircle alternative: For iOS-style continuous curves, consider mask-image with SVG or libraries like squircle.js.

Common Patterns

ComponentRecommended Radius
Icon buttonssm or md
Text buttonsmd
Input fieldssm or md
Cardslg
Modals/dialogslg or xl
Tooltipsmd
Badges/tagsfull (pill)
Avatarsfull (circle)
Containersxl or 2xl

Frequently asked questions

What does the Radius Scale AI skill do?

Generates border-radius tokens from sharp to pill shapes. Use when creating corner rounding systems, button radius, card corners, or input styling. Outputs CSS, Tailwind, or JSON.

Why use Radius Scale on TypingMind?

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

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

Which AI models can use Radius Scale?

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 Radius Scale?

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

Is the Radius Scale AI skill free?

Yes. It is published on GitHub by dylantarre 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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