Extract Design

CommunityPopular

Manavarya09

extract-design

Extract the full design language from any website URL. Produces 8 output files including AI-optimized markdown, visual HTML preview, Tailwind config, React theme, shadcn/ui theme, Figma variables, W3C design tokens, and CSS variables. Also runs WCAG accessibility scoring. Use when user says 'extract design', 'get design system', 'design language', 'design tokens', 'what colors/fonts does this site use', or '/extract-design'.

Overview

Publisher	Manavarya09
Repository	`design-extract`
Skill name	`extract-design`
Stars	4.1K
Forks	348
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Manavarya09 on GitHub. Read the source before you install it.

Installation

Install the Extract Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/Manavarya09/design-extract.git /tmp/design-extract
mkdir -p .claude/skills
cp -r /tmp/design-extract/skills/extract-design .claude/skills/extract-design

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Extract 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 Extract 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 Extract 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.

Extract Design Language

Extract the complete design language from any website URL. Generates 8 output files covering colors, typography, spacing, shadows, components, breakpoints, animations, and accessibility.

Prerequisites

Ensure designlang is available. Install if needed:

bash
npm install -g designlang

Or use npx (no install required):

bash
npx designlang <url>

Process

Run the extraction on the provided URL:

bash
npx designlang <url> --screenshots

For multi-page crawling: npx designlang <url> --depth 3 --screenshots For dark mode: npx designlang <url> --dark --screenshots

Read the generated markdown file to understand the design:

bash
cat design-extract-output/*-design-language.md

Present key findings to the user:
- Primary color palette with hex codes
- Font families in use
- Spacing system (base unit if detected)
- WCAG accessibility score
- Component patterns found
- Notable design decisions (shadows, radii, etc.)
Offer next steps:
- Copy *-tailwind.config.js into their project
- Import *-variables.css into their stylesheet
- Paste *-shadcn-theme.css into globals.css for shadcn/ui users
- Import *-theme.js for React/CSS-in-JS projects
- Import *-figma-variables.json into Figma for designer handoff
- Open *-preview.html in a browser for a visual overview
- Use the markdown file as context for AI-assisted development

Output Files (8)

File	Purpose
`*-design-language.md`	AI-optimized markdown — the full design system for LLMs
`*-preview.html`	Visual HTML report with swatches, type scale, shadows, a11y
`*-design-tokens.json`	W3C Design Tokens format
`*-tailwind.config.js`	Ready-to-use Tailwind CSS theme
`*-variables.css`	CSS custom properties
`*-figma-variables.json`	Figma Variables import format
`*-theme.js`	React/CSS-in-JS theme object
`*-shadcn-theme.css`	shadcn/ui theme CSS variables

Additional Commands

Compare two sites: npx designlang diff <urlA> <urlB>
View history: npx designlang history <url>

Options

Flag	Description
`--out <dir>`	Output directory (default: `./design-extract-output`)
`--dark`	Also extract dark mode color scheme
`--depth <n>`	Crawl N internal pages for site-wide extraction
`--screenshots`	Capture component screenshots (buttons, cards, nav)
`--wait <ms>`	Wait time after page load for SPAs
`--framework <type>`	Generate only specific theme (`react` or `shadcn`)

Frequently asked questions

What does the Extract Design AI skill do?

Why use Extract Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Manavarya09/design-extract/tree/main/skills/extract-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Extract 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 Extract Design?

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

Is the Extract Design AI skill free?

Yes. It is published on GitHub by Manavarya09 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Extract Design Language

Prerequisites

Process

Output Files (8)

Additional Commands

Options

Frequently asked questions

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