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Web Design System

Community
divyanshu-iitian
web-design-system

Extract, create, or refine an implementation-ready design system for a website or web app. Use when an agent needs semantic tokens, component anatomy, variants, interaction states, responsive rules, accessibility defaults, or consistency improvements grounded in an existing frontend codebase.

Overview

Publisherdivyanshu-iitian
Repositoryagent-website-design-skills
Skill nameweb-design-system
Stars
4
Forks
0
Bundled files
2
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.

  • 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 divyanshu-iitian on GitHub. Read the source before you install it.

Installation

Install the Web 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.
    https://github.com/divyanshu-iitian/agent-website-design-skills/tree/main/web-design-system
  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/divyanshu-iitian/agent-website-design-skills.git /tmp/agent-website-design-skills
mkdir -p .claude/skills
cp -r /tmp/agent-website-design-skills/web-design-system .claude/skills/web-design-system
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web 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 Web 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 Web 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.

Web Design System

Build the smallest system that makes the product more coherent. Favor semantic contracts that components can use over a large inventory of decorative values.

Choose the Mode

  • Extract when the product is visually coherent but undocumented.
  • Reconcile when multiple patterns conflict.
  • Create when a new product has no established UI language.
  • Extend when a feature needs states or components the system lacks.

Workflow

  1. Inspect the framework, CSS strategy, theme files, primitives, component library, icon set, and representative screens.
  2. Inventory repeated values and patterns. Separate intentional variation from accidental drift.
  3. Map raw values to semantic roles before changing code. Example: blue-600 -> action-primary, not "replace every blue."
  4. Define the minimum token layers:
    • foundations: color, type, spacing, radius, border, shadow, motion;
    • semantic tokens: background, surface, text, border, action, focus, and status;
    • component tokens only where a component genuinely needs them.
  5. Specify component anatomy, variants, sizes, and state behavior. Include content constraints, not only appearance.
  6. Define responsive behavior and density rules without inventing device-specific duplicates.
  7. Encode accessibility defaults: semantic elements, names, labels, focus-visible, keyboard behavior, contrast, errors, target size, and reduced motion.
  8. Implement inside the existing styling mechanism. Avoid parallel token systems.
  9. Migrate one representative component or screen and remove superseded values when safe.
  10. Verify light/dark themes, core states, narrow/wide layouts, and at least one realistic content stress case.

System Rules

  • Name tokens by purpose, not by current appearance.
  • Keep primitive escape hatches available, but make the correct path easier.
  • Do not force every region into a card.
  • Do not encode status through color alone.
  • Keep component APIs small; prefer composition over variant explosions.
  • Preserve established patterns unless they harm usability, accessibility, or maintainability.
  • Document decisions where future contributors would otherwise recreate the inconsistency.

Delivery Contract

Provide:

  1. Mode and audit - what exists, what conflicts, and what remains.
  2. Token map - existing value -> semantic role -> implementation location.
  3. Component contract - anatomy, variants, states, content limits, responsive behavior.
  4. Migration slice - at least one real component when code changes are requested.
  5. Verification evidence - themes, states, viewports, and exceptions tested.

Reference

Read references/token-checklist.md while defining or auditing tokens and component states.

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 Web Design System AI skill do?

Extract, create, or refine an implementation-ready design system for a website or web app. Use when an agent needs semantic tokens, component anatomy, variants, interaction states, responsive rules, accessibility defaults, or consistency improvements grounded in an existing frontend codebase.

Why use Web Design System on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/divyanshu-iitian/agent-website-design-skills/tree/main/web-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 Web 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 Web Design System?

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

Is the Web Design System AI skill free?

Yes. It is published on GitHub by divyanshu-iitian 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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