Design Mirror logo

Design Mirror

Organization
brightdata
design-mirror

Replicate the visual style of any website and apply it to your existing codebase. Use this skill whenever the user wants to match a site's design, mirror a UI aesthetic, make their app look like another site, or replicate a specific visual style from a URL. Trigger on phrases like 'make it look like', 'match the design of', 'copy the style from', 'I want my app to look like X', 'mirror this design', 'inspired by [url]', or any time the user points at a website and says they want their frontend to match it.

Overview

Publisherbrightdata
Repositoryskills
Skill namedesign-mirror
Stars
268
Forks
36
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Design Mirror 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/brightdata/skills/tree/main/skills/design-mirror
  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/brightdata/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/design-mirror .claude/skills/design-mirror
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Mirror 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 Mirror 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 Mirror 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 Mirror

Capture the visual design language of any website and apply it to your existing codebase — colors, typography, spacing, layout rhythm, component shapes, and overall aesthetic — all extracted live via Bright Data's Web Unlocker.

What This Skill Does

  1. Capture — Screenshot + HTML scrape the inspiration site via Bright Data
  2. Extract — Identify the full design system: colors, fonts, spacing scale, border radii, shadows, component patterns
  3. Analyze — Study the screenshot visually and the CSS structurally to understand the design language
  4. Apply — Translate that design system into the user's existing codebase (their framework, their components)

You are not copying content or functionality. You're understanding the design language — the palette, the type scale, the card shapes, the hover states, the overall aesthetic feel.

Important: This skill is for design inspiration and learning — extracting publicly visible design tokens (colors, fonts, spacing) to inform your own UI work. Always use it respectfully and in accordance with the terms of service of the sites you reference.

Setup

Requires:

  • BRIGHTDATA_API_KEY — from brightdata.com/cp → Account Settings
  • BRIGHTDATA_UNLOCKER_ZONE — create an Unlocker zone at brightdata.com/cp
bash
export BRIGHTDATA_API_KEY="your-api-key"
export BRIGHTDATA_UNLOCKER_ZONE="your-zone-name"

Step-by-Step Process

Step 1: Capture the Inspiration Site

Run both captures in parallel — screenshot (for visual analysis) and HTML scrape (for CSS extraction):

bash
# Screenshot (save as PNG)
bash scripts/screenshot.sh "https://inspiration-site.com" "/tmp/target_screenshot.png"

# HTML + CSS scrape
bash scripts/scrape_html.sh "https://inspiration-site.com" "/tmp/target_page.html"

Read references/capture-guide.md for how to extract CSS from the raw HTML and handle common issues.

Step 2: Analyze the Design System

After capturing, analyze both in parallel:

Visual analysis (screenshot): Read the PNG image and identify:

  • Primary, secondary, accent colors
  • Background colors (page bg, card bg, surface hierarchy)
  • Typography: font families visible, size hierarchy (h1 → body → caption)
  • Layout: is it centered/constrained-width? Grid? Sidebar?
  • Card/container shapes: border radius size, shadow style (hard, soft, none, colored)
  • Button styles: pill, rectangle, ghost, gradient?
  • Navigation: sticky? Glass/blur effect? Dark or light?
  • Overall mood: dark, light, minimal, brutalist, glassmorphism, corporate, startup?

CSS analysis (HTML): Extract from <style> tags and inline styles:

  • CSS custom properties (:root { --color-... }) — publicly declared design tokens
  • Font imports (@import from Google Fonts, etc.)
  • Tailwind config if present
  • Repeated class patterns that reveal the spacing scale

Read references/css-extraction.md for the extraction playbook.

Step 3: Build the Design Token Map

Produce a structured design token map before touching any code:

DESIGN TOKENS FROM [site]
==========================
Colors:
  --bg-primary: #0a0a0f      (page background)
  --bg-surface: #13131a      (card/panel background)
  --text-primary: #ffffff
  --text-muted: #8888aa
  --accent: #7c3aed          (primary CTA color)
  --accent-hover: #6d28d9
  --border: rgba(255,255,255,0.08)

Typography:
  --font-heading: 'Inter', sans-serif
  --font-body: 'Inter', sans-serif
  font-scale: 12/14/16/20/24/32/48px
  heading-weight: 700
  body-weight: 400

Spacing:
  base-unit: 8px
  scale: 4/8/12/16/24/32/48/64px

Borders & Shadows:
  --radius-sm: 6px
  --radius-md: 12px
  --radius-lg: 20px
  --shadow: 0 4px 24px rgba(0,0,0,0.4)

Special effects:
  glass-blur: backdrop-filter: blur(16px)
  gradient: linear-gradient(135deg, #7c3aed, #2563eb)

Show this token map to the user before proceeding. It's the foundation — if it's wrong, the output will be wrong.

Step 4: Understand the User's Codebase

Before writing any code, read the relevant parts of their codebase:

  • What framework? (React, Vue, Next.js, plain HTML?)
  • What styling approach? (Tailwind, CSS modules, styled-components, plain CSS?)
  • Where are global styles defined? (globals.css, theme.ts, tailwind.config.js?)
  • What components need restyling? (ask the user if unclear)

Do not rewrite everything — surgical precision. Apply the design tokens to the existing structure.

Step 5: Apply the Design

The application strategy depends on their stack:

If Tailwind: Update tailwind.config.js with the new color palette, font family, border radius scale. Add custom CSS variables for anything Tailwind can't handle natively.

If CSS/CSS Modules: Create or update a :root variables block in globals.css. Update component stylesheets to use the new variables.

If styled-components/Emotion: Update the theme object. Replace hardcoded color/spacing values with theme tokens.

In all cases:

  • Apply colors, typography, and spacing globally first
  • Then tackle component-level details (buttons, cards, nav) one at a time
  • Preserve all existing functionality and layout structure — only visual properties change
  • Add any special effects (glass blur, gradients, animations) that define the inspiration site's character

Read references/apply-guide.md for framework-specific implementation patterns.

Step 6: Show the Before/After

After applying changes, clearly present:

  • Which files were modified
  • The design token mapping (source → what you set it to)
  • Any special effects added
  • What the user should check visually (hover states, dark/light mode, mobile)

If the user has a dev server running, remind them to check it. Offer to iterate on specific components.

Key Principles

Design language, not markup. The inspiration site's HTML structure and content are theirs. You're extracting the design language — how colors relate, how spacing flows, what gives the site its character — to apply as your own creative foundation.

Design tokens first, code second. Rushing to apply colors before understanding the full system leads to inconsistent results. Always build the token map first.

Ask about scope. "Apply the design everywhere" vs "just make the homepage feel like it" vs "only restyle the navbar" are very different jobs. Clarify before proceeding.

Don't break what works. The user's components work. Only change visual properties. If you're uncertain whether a change might break layout, err on the side of caution and flag it.

Iterative is fine. It's often better to get the foundation right (colors, type, spacing) and let the user review before tackling component-level details.

What to Do When...

The site uses a design system (Material, shadcn, etc.): Identify it, tell the user, and ask if they want to adopt the same system or just extract the visual tokens.

The CSS is minified/obfuscated: Fall back to the screenshot + visual analysis. You can still extract colors, spacing, and shapes from visual inspection.

The inspiration site is JS-rendered and the HTML scrape comes back mostly empty: Note this to the user — the screenshot will still work for visual analysis, but CSS extraction will be limited. You can still infer most tokens visually.

The user's codebase uses a component library (shadcn, Chakra, MUI): Apply the design by customizing the library's theme/config rather than overriding individual components.

Multiple pages need to match: Use the homepage for overall design tokens, but offer to check inner pages (e.g., /pricing, /docs) if the user wants to match a specific page's look.

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 Mirror AI skill do?

Replicate the visual style of any website and apply it to your existing codebase. Use this skill whenever the user wants to match a site's design, mirror a UI aesthetic, make their app look like another site, or replicate a specific visual style from a URL. Trigger on phrases like 'make it look like', 'match the design of', 'copy the style from', 'I want my app to look like X', 'mirror this design', 'inspired by [url]', or any time the user points at a website and says they want their frontend to match it.

Why use Design Mirror on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brightdata/skills/tree/main/skills/design-mirror. 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 Mirror?

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 Mirror?

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

Is the Design Mirror AI skill free?

Yes. It is published on GitHub by brightdata 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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