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firecrawl-website-design-clone

by @firecrawlv
4.5(120)

Firecrawlを活用し、あらゆるウェブサイトのデザインシステムをAIエージェント向けのDESIGN.mdとして抽出します。ウェブサイトの色、フォント、間隔、コンポーネント、レイアウトパターン、ブランド/UIガイドラインをAIエージェントが迅速に把握し、新しいウェブサイトの作成、デザインのクローン、またはインスピレーションを受けたページの構築を効率的に行えるよう支援します。

design-systemweb-scrapingui-designai-agentdesign-tokensGitHub
インストール方法
npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-website-design-clone
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Before / After 効果比較

1
使用前

デザイナーや開発者がウェブサイトを手動で分析し、色、フォント、間隔、コンポーネントなどのデザイン要素を特定・記録するには、時間と手間がかかり、初期ドキュメントの作成に数時間から数日を要することがよくあります。

使用後

AIエージェントがFirecrawlを使用してウェブサイトを自動スクレイピングし、構造化されたDESIGN.mdファイルを生成します。これにより、ウェブサイトのデザインシステムの主要要素を迅速に提供し、数時間かかっていた作業をわずか数分に短縮します。

SKILL.md

Firecrawl Website Design Clone

Use this when the user wants one URL turned into a practical design system file agents can use immediately.

Default outcome: extract any website's design system in one line and format it as DESIGN.md.

The skill should feel like a thin workflow around Firecrawl scrape: gather the page's visible content, structure, metadata, links, and available visual signals, then synthesize those findings into a clean design-system markdown file.

Onboarding Interview

Infer the source URL, target stack, and whether implementation is requested from context. If the user gives a URL and asks for a design system, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the website URL, whether to output only DESIGN.md or also implement, or a required target stack.

Use the host agent's normal prompt or modal UI. Do not name a harness-specific question function.

Firecrawl Collection Plan

Use Firecrawl through the CLI or equivalent tool surface. Always start with two parallel scrapes of the supplied URL:

  1. The branding format for structured design tokens.
  2. A full-page screenshot for visual context.

Example:

firecrawl scrape "https://example.com" --format branding -o ".firecrawl/example-branding.json" --pretty &
firecrawl scrape "https://example.com" --full-page-screenshot -o ".firecrawl/example-screenshot.png" &
wait

If the screenshot scrape returns a remote image URL (e.g. signed storage link) instead of a local file, download it to the same .firecrawl/ path so DESIGN.md can reference a stable local asset.

Use the structured branding output as the primary source for colors, typography, components, imagery, personality, and confidence notes. Use the screenshot as the primary visual reference for layout, hierarchy, and overall feel. Add supplemental formats only when these two are insufficient for the final artifact.

Collect:

  • branding data for colors, typography, spacing, buttons, logos, imagery, personality, and confidence
  • a full-page screenshot saved locally in .firecrawl/ so it can be embedded in DESIGN.md
  • page markdown for headings, copy hierarchy, CTAs, navigation, and section order when needed
  • metadata and links for brand, product, and page-purpose clues when needed
  • HTML only when the branding output and screenshot are insufficient to infer classes, font names, CSS variables, or component structure
  • related pages only when the user asks for a broader site system

Do not over-crawl by default. The first version should be useful from a single representative page.

What To Extract

Infer and document the site's design language:

  • colors: primary, secondary, accents, backgrounds, borders, text, states
  • typography: font families if detectable, type scale, weights, line heights, heading/body treatment
  • spacing: container widths, section rhythm, grid gaps, padding scale, density
  • layout: page structure, hero patterns, cards, grids, nav, footer, responsive assumptions
  • components: buttons, inputs, cards, badges, nav items, pricing blocks, testimonials, feature rows, forms
  • imagery and icons: style, shape language, illustration/photo treatment, logo constraints
  • motion and interaction: hover states, transitions, animation style when observable or inferable
  • voice and content patterns: CTA wording, heading style, product copy rhythm

When a value cannot be measured exactly from scrape output, label it as inferred and give a practical approximation.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners. Natural splits include one page per researcher for multi-page sites, or one reviewer each for colors, typography, spacing, and components.

Each parallel researcher should return source URLs, extracted evidence, inferred design tokens, and confidence notes.

Final Deliverable

Create or return a DESIGN.md with this structure. Embed the full-page screenshot near the top so a coding agent gets visual context alongside the tokens.

# DESIGN.md: [Source Site]

## Source
- URL: [source URL]
- Capture date: [date]
- Evidence: [scrape/screenshot/html/links used]

## Reference Screenshot
![Full-page screenshot of [Source Site]](./.firecrawl/[source]-screenshot.png)

Use this screenshot as the visual source of truth for layout, hierarchy, density, and feel. Tokens below describe the same page in machine-readable form.

## Design Summary
[Short description of the visual language and what an agent should recreate]

## Design Tokens

### Colors
[Named color roles with hex values when known; mark inferred values clearly]

### Typography
[Fonts, fallback recommendations, scale, weights, heading/body rules]

### Spacing And Layout
[Spacing scale, containers, grids, radius, shadows, borders]

## Components
[Buttons, cards, nav, forms, hero, feature sections, pricing, footer, etc.]

## Page Patterns
[Section order, common layouts, responsive behavior]

## Content Style
[Voice, CTA style, heading patterns, copy density]

## Agent Build Instructions
[Concrete instructions an AI coding agent can follow to create a new site in this style]

## Rerun Inputs
workflow: firecrawl-website-design-clone
source_url: [url]
target_stack: [stack]
output: DESIGN.md

If the user asks to implement, first produce or update DESIGN.md, then use it as the source of truth for the build.

Quality Bar

  • Do not imply the user has rights to third-party logos, images, trademarks, or copy.
  • Prefer reusable design tokens over one-off observations.
  • Distinguish observed facts from inferred approximations.
  • Keep the output compact enough that another agent can paste it into context and build from it.
  • Preserve source URLs and scrape artifacts for review.

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統計データ

インストール数15.3K
評価4.5 / 5.0
バージョン
更新日2026年6月17日
比較事例1 件

ユーザー評価

4.5(120)
5
37%
4
43%
3
13%
2
5%
1
2%

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タイムライン

作成2026年5月22日
最終更新2026年6月17日
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