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Clone Website

Community
coco-research
clone-website

Clone any website into a pixel-perfect single-file HTML prototype. Extracts design tokens, assets, CSS computed styles, interaction patterns, and content via Playwright. Outputs a self-contained HTML file with real data injection. Use when the user wants to clone, replicate, reverse-engineer, or create a pixel-perfect copy of any website or web app. Provide one or more target URLs as arguments.

Overview

Publishercoco-research
Repositorycoco
Skill nameclone-website
Stars
550
Forks
12
Bundled files
Instructions only
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 coco-research on GitHub. Read the source before you install it.

Installation

Install the Clone Website 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/coco-research/coco/tree/main/skills/clone-website
  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/coco-research/coco.git /tmp/coco
mkdir -p .claude/skills
cp -r /tmp/coco/skills/clone-website .claude/skills/clone-website
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clone Website 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 Clone Website 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 Clone Website 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.

Clone Website --- Single-File HTML Prototype Builder

You are about to reverse-engineer $ARGUMENTS into a pixel-perfect single-file HTML prototype.

This is adapted from the ai-website-cloner-template approach but optimized for rapid prototyping workflows: single self-contained HTML files (no build system, no CDN dependencies, opens directly in a browser).

Output Format

Unlike the original repo (Next.js + shadcn/ui), our output is:

  • One HTML file with <style> + <body> + <script> sections
  • Zero external dependencies --- all CSS inline, all JS inline, all assets base64-encoded or SVG inline
  • Real data injection --- not lorem ipsum, but actual data from project Excel files, meeting notes, and brain DB
  • Project design system when available --- use tokens from a design-system.json colocated with the project

Pre-Flight

  1. Playwright is required. Verify: npx playwright --version. If not installed, ask the user to run npm i -D playwright.
  2. Parse $ARGUMENTS as one or more URLs. Validate each is accessible.
  3. Create output directory: {project}/Screenshots-clone/ for captured assets.
  4. Determine clone mode:
    • Full clone (default): pixel-perfect reproduction of the entire page
    • Design extraction only (--extract): capture design tokens, screenshots, and component specs without building
    • Selective clone (--sections "header,table,sidebar"): clone only named sections

Phase 1: Reconnaissance (Playwright)

1.1 Screenshots

Use Playwright to capture:

javascript
import { chromium } from 'playwright';
const browser = await chromium.launch();
const page = await browser.newPage({ viewport: { width: 1440, height: 900 } });
await page.goto(URL);

// Full page screenshot
await page.screenshot({ path: 'full-desktop.png', fullPage: true });

// Viewport screenshot
await page.screenshot({ path: 'viewport-desktop.png' });

// Mobile
await page.setViewportSize({ width: 390, height: 844 });
await page.screenshot({ path: 'viewport-mobile.png', fullPage: true });

1.2 Design Token Extraction

Run this in Playwright's page.evaluate() to extract the complete design system:

javascript
const tokens = await page.evaluate(() => {
  // Colors
  const colorMap = new Map();
  document.querySelectorAll('*').forEach(el => {
    const cs = getComputedStyle(el);
    ['color','backgroundColor','borderColor','borderTopColor','borderBottomColor'].forEach(p => {
      const v = cs[p];
      if (v && v !== 'rgba(0, 0, 0, 0)' && v !== 'transparent') colorMap.set(v, (colorMap.get(v)||0)+1);
    });
  });

  // Typography
  const fontMap = new Map();
  document.querySelectorAll('*').forEach(el => {
    const cs = getComputedStyle(el);
    const key = `${cs.fontFamily}|${cs.fontSize}|${cs.fontWeight}|${cs.lineHeight}`;
    fontMap.set(key, (fontMap.get(key)||0)+1);
  });

  // Spacing
  const spacingSet = new Set();
  document.querySelectorAll('*').forEach(el => {
    const cs = getComputedStyle(el);
    ['padding','margin','gap'].forEach(p => {
      const v = cs[p]; if (v && v !== '0px') spacingSet.add(v);
    });
  });

  // Shadows
  const shadowSet = new Set();
  document.querySelectorAll('*').forEach(el => {
    const v = getComputedStyle(el).boxShadow;
    if (v && v !== 'none') shadowSet.add(v);
  });

  // Radius
  const radiusSet = new Set();
  document.querySelectorAll('*').forEach(el => {
    const v = getComputedStyle(el).borderRadius;
    if (v && v !== '0px') radiusSet.add(v);
  });

  return {
    colors: [...colorMap.entries()].sort((a,b) => b[1]-a[1]).slice(0,30),
    typography: [...fontMap.entries()].sort((a,b) => b[1]-a[1]).slice(0,20),
    spacing: [...spacingSet].sort(),
    shadows: [...shadowSet],
    radii: [...radiusSet].sort()
  };
});

1.3 Component CSS Extraction (Deep)

For each major component/section, extract exact computed styles:

javascript
// Run per component container
const componentCSS = await page.evaluate((selector) => {
  const el = document.querySelector(selector);
  if (!el) return null;
  const props = [
    'fontSize','fontWeight','fontFamily','lineHeight','letterSpacing','color',
    'textTransform','textDecoration','backgroundColor','background',
    'padding','paddingTop','paddingRight','paddingBottom','paddingLeft',
    'margin','marginTop','marginRight','marginBottom','marginLeft',
    'width','height','maxWidth','minWidth','display','flexDirection',
    'justifyContent','alignItems','gap','gridTemplateColumns',
    'borderRadius','border','boxShadow','overflow','position',
    'top','right','bottom','left','zIndex','opacity','transform','transition'
  ];
  function extract(element, depth) {
    if (depth > 4) return null;
    const cs = getComputedStyle(element);
    const styles = {};
    props.forEach(p => {
      const v = cs[p];
      if (v && v !== 'none' && v !== 'normal' && v !== 'auto' && v !== '0px' && v !== 'rgba(0, 0, 0, 0)')
        styles[p] = v;
    });
    return {
      tag: element.tagName.toLowerCase(),
      classes: element.className?.toString().split(' ').slice(0,5).join(' '),
      text: element.childNodes.length === 1 && element.childNodes[0].nodeType === 3
        ? element.textContent.trim().slice(0,200) : null,
      styles,
      children: [...element.children].slice(0,20).map(c => extract(c, depth+1)).filter(Boolean)
    };
  }
  return extract(el, 0);
}, selector);

1.4 Interaction Sweep

Use Playwright to discover behaviors:

javascript
// Scroll sweep
for (let y = 0; y < await page.evaluate(() => document.body.scrollHeight); y += 300) {
  await page.evaluate(y => window.scrollTo(0, y), y);
  await page.waitForTimeout(200);
  // Check for sticky header changes, scroll-triggered animations, etc.
}

// Hover sweep --- hover over interactive elements
const interactiveEls = await page.$$('button, a, [role="tab"], .nav-item, .card');
for (const el of interactiveEls.slice(0, 30)) {
  await el.hover();
  await page.waitForTimeout(100);
}

// Click sweep --- test tabs, dropdowns, etc.
const tabs = await page.$$('[role="tab"], .tab-item, .nav-tab');
for (const tab of tabs) {
  await tab.click();
  await page.waitForTimeout(300);
}

1.5 Asset Extraction

javascript
// Extract all SVG icons as inline code
const svgs = await page.evaluate(() =>
  [...document.querySelectorAll('svg')].map(s => ({
    html: s.outerHTML,
    parent: s.parentElement?.className?.toString().split(' ')[0] || 'unknown',
    width: s.getAttribute('width'),
    height: s.getAttribute('height')
  }))
);

// Extract all image URLs for download
const images = await page.evaluate(() =>
  [...document.querySelectorAll('img')].map(i => ({
    src: i.src, alt: i.alt, w: i.naturalWidth, h: i.naturalHeight
  }))
);

Phase 2: Foundation Build

Convert extracted tokens into CSS custom properties:

css
:root {
  /* Colors --- from extraction, mapped to semantic names */
  --color-bg: {extracted};
  --color-text: {extracted};
  --color-text-muted: {extracted};
  --color-accent: {extracted};
  --color-border: {extracted};
  /* ... */

  /* Typography */
  --font-family: {extracted};
  --font-size-body: {extracted};
  /* ... */

  /* Shadows */
  --shadow-sm: {extracted};
  --shadow-md: {extracted};
  /* ... */
}

Phase 3: Parallel Section Building

For each major section of the page, dispatch a builder agent:

  1. Write a spec file with exact CSS values + screenshot + content
  2. Launch agent in a worktree (or as a subagent) with the spec
  3. Each agent produces its section's HTML + CSS + JS
  4. Orchestrator assembles all sections into one file

Complexity budget: If a section spec exceeds ~150 lines, split it.

Phase 4: Assembly

Merge all sections into one self-contained HTML file:

  1. Deduplicate CSS --- combine all section styles, remove duplicates
  2. Order HTML --- sections in visual order (top to bottom)
  3. Combine JS --- all event handlers and render functions in one <script> block
  4. Base64-encode any images that couldn't be replaced with CSS/SVG
  5. Verify: open in browser, compare against original screenshots

Phase 5: Quality Check

Use Playwright to:

  1. Open the built HTML file
  2. Take screenshots at the same viewpoints as Phase 1
  3. Compare side-by-side (save both for manual review)
  4. Test all interactions (clicks, hovers, tabs)
  5. Report any visual differences

Project-Specific Mode

When a design-system.json exists in the project:

  • Load tokens (colors, typography, spacing, shadows, radii) from that file
  • Apply them as CSS custom properties in the output
  • Inject any real data referenced in the project (Excel, JSON, brain DB)

Reference

Frequently asked questions

What does the Clone Website AI skill do?

Clone any website into a pixel-perfect single-file HTML prototype. Extracts design tokens, assets, CSS computed styles, interaction patterns, and content via Playwright. Outputs a self-contained HTML file with real data injection. Use when the user wants to clone, replicate, reverse-engineer, or create a pixel-perfect copy of any website or web app. Provide one or more target URLs as arguments.

Why use Clone Website on TypingMind?

Because you install it once and use it with any model. Clone Website 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 Clone Website in TypingMind?

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

Which AI models can use Clone Website?

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 Clone Website?

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

Is the Clone Website AI skill free?

It is published on GitHub by coco-research. Check the repository for licensing terms. 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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