Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes and reverse-engineers website designs directly from a target URL, extracting layout structures, design tokens (colors, typography, spacing), component hierarchies, visual assets, and responsive behaviors to enable full 1:1 duplication into modern code (Tailwind CSS v4, React/Next.js, HTML/CSS). / Mempelajari dan merekayasa balik desain situs web langsung dari URL target, mengekstrak struktur layout, design token (warna, tipografi, spacing), hierarki komponen, aset visual, dan perilaku responsif untuk duplikasi 1:1 penuh ke kode modern.
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Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and session-memory-manager to ensure cohesive execution.
website-design-cloner is an advanced URL-to-Code visual reverse engineering skill. It enables AI agents to inspect any target website URL, analyze its visual aesthetic, layout grid, CSS design tokens (OKLCH/HEX colors, typography system, container bounds, shadow tiers, border-radii), DOM structure, and interactive components, and synthesize production-ready code (Tailwind CSS v4, React 19, Next.js 15, HTML5/Vanilla CSS) to achieve a full 1:1 duplication.
graph TD
A["Target URL"] --> B["Phase 1: URL Inspection & DOM Scraping"]
B --> C["Phase 2: Design Tokens & CSS Extraction"]
C --> D["Phase 3: Component Hierarchy Breakdown"]
D --> E["Phase 4: 1:1 Code Synthesis (Tailwind v4 + React 19)"]
E --> F["Phase 5: Visual Verification & Polish"]
<link rel="stylesheet">), and font imports using read_url_content, Firecrawl, Jina Reader API (https://r.jina.ai/<URL>), or Playwright browser automation.375px)768px)1440px+)Harvest computed styles and synthesize them into Tailwind CSS v4 @theme tokens:
| Token Category | Extracted Properties | Tailwind CSS v4 Mapping |
|---|---|---|
| Color System | Primary, Secondary, Background, Neutral slate, Surface, Borders | --color-primary, --color-background, --color-surface |
| Typography | Font Family (Google Fonts link), Headings (h1-h6), Body, Font Weights | --font-sans, --font-mono, --text-4xl, --font-bold |
| Spacing Scale | Section Padding (py-16/py-24), Container Max-Width (1280px), Gap scale | --spacing-16, --max-width-7xl, gap-6 |
| Borders & Radii | Card Border Radius (16px), Pill Radius (9999px), Border Colors | --radius-xl, --color-border |
| Effects | Backdrop Blur (backdrop-blur-md), Glassmorphism, Drop Shadows | shadow-xl shadow-brand/10, backdrop-blur-lg |
Deconstruct the target web page into modular, reusable UI components:
HeaderNav: Brand logo, navigation menu links, dynamic CTA button, mobile drawer toggle.HeroSection: Eye-catching headline, subheading, action buttons, hero image/video/mockup.FeatureBento: Bento grid containers, icon badges, feature titles, micro-copy.TestimonialGrid: Avatar image, quote text, author metadata, star ratings.PricingSection: Tier cards, billing toggle (Monthly/Annual), highlighted popular badge, feature checklists.FooterNav: Category columns, newsletter subscription form, copyright & social icons.Synthesize clean, accessible, modern code matching the extracted structure.
tokens.css)@import "tailwindcss";
@theme {
--font-sans: "Outfit", "Inter", system-ui, sans-serif;
--font-mono: "Fira Code", monospace;
/* Extracted OKLCH Palette */
--color-brand-primary: oklch(58% 0.23 255);
--color-brand-accent: oklch(68% 0.19 160);
--color-surface-dark: oklch(14% 0.02 255);
--color-surface-card: oklch(18% 0.03 255 / 80%);
--radius-card: 1.25rem;
}
HeroSection.tsx)import React from 'react';
import { ArrowRight } from 'lucide-react';
export function HeroSection() {
return (
<section className="relative bg-neutral-50 dark:bg-neutral-950 py-20 md:py-28 px-6">
<div className="mx-auto max-w-4xl text-center">
{/* Eyebrow: Crisp typographic landmark with optical tracking */}
<span className="inline-flex items-center rounded-md border border-neutral-200 dark:border-neutral-800 bg-white dark:bg-neutral-900 px-3 py-1 text-[11px] font-semibold uppercase tracking-wider text-neutral-600 dark:text-neutral-400 shadow-xs">
Architecture Verified
</span>
{/* Title: Punchy authority with tight tracking */}
<h1 className="mt-6 text-4xl sm:text-5xl lg:text-6xl font-bold tracking-tight text-neutral-900 dark:text-neutral-50 leading-[1.1]">
Precision Web Engineering with Sovereign Aesthetics
</h1>
{/* Subtitle: High-readability body copy */}
<p className="mx-auto mt-6 max-w-2xl text-base sm:text-lg text-neutral-600 dark:text-neutral-300 leading-relaxed">
Cleanly engineered, fully accessible UI components extracted with precision tokens and robust visual hierarchy.
</p>
{/* Actions: Single primary CTA dominance + subtle ghost action */}
<div className="mt-10 flex items-center justify-center gap-4">
<button
type="button"
className="cursor-pointer inline-flex items-center gap-2 rounded-lg bg-neutral-900 dark:bg-neutral-100 px-6 py-3 text-sm font-medium text-white dark:text-neutral-900 shadow-xs transition hover:bg-neutral-800 dark:hover:bg-white active:scale-[0.98] focus-visible:ring-2 focus-visible:ring-neutral-900 focus-visible:ring-offset-2"
>
Explore System
<ArrowRight className="h-4 w-4" />
</button>
<button
type="button"
className="cursor-pointer rounded-lg border border-neutral-200 dark:border-neutral-800 bg-white dark:bg-neutral-900 px-6 py-3 text-sm font-medium text-neutral-700 dark:text-neutral-300 transition hover:bg-neutral-100 dark:hover:bg-neutral-800 active:scale-[0.98] focus-visible:ring-2 focus-visible:ring-neutral-400"
>
Documentation
</button>
</div>
</div>
</section>
);
}
When cloning target sites utilizing Material Design 3 (Google products, Flutter web apps, Android dashboards):
surface-container-low to highest) rather than drop shadows.generate_image.<a name="bahasa-indonesia"></a>
Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan session-memory-manager untuk memastikan eksekusi yang kohesif.
website-design-cloner adalah skill rekayasa balik (reverse engineering) visual dari URL ke kode. Skill ini memungkinkan agen AI mempelajari situs web target dari URL, mengaudit estetika visual, grid layout, design token CSS (warna OKLCH/HEX, sistem tipografi, batas kontainer, bayangan, radius border), struktur DOM, dan komponen interaktif, lalu merekonstruksi kode siap produksi (Tailwind CSS v4, React 19, Next.js 15, HTML5/CSS3) untuk mencapai duplikasi 1:1 penuh.
Tahap 1: Inspeksi URL & Penemuan Aset:
read_url_content, Firecrawl, Jina Reader API (https://r.jina.ai/<URL>), atau otomatisasi browser Playwright.375px), Tablet (768px), dan Desktop (1440px).Tahap 2: Ekstraksi Design Token & Hierarki Visual:
@theme Tailwind CSS v4 (sistem warna OKLCH/HEX, tipografi Google Fonts, skala spacing, border radius, dan hierarki permukaan L0-L4).tracking-tight pada judul, tracking-wider pada eyebrow), serta memastikan angka memakai format tabular-nums.Tahap 3: Pembongkaran Hierarki Komponen:
HeaderNav, HeroSection, FeatureBento, TestimonialGrid, PricingSection, dan FooterNav.Tahap 4: Sintesis Kode Presisi 1:1:
@theme Tailwind CSS v4.Tahap 5: Verifikasi Visual & Polishing:
generate_image.| Skill Terkait | Peran & Integrasi Handoff |
|---|---|
web-scraper | Mengambil HTML mentah, CSS, dan Markdown dari URL via Jina Reader / Firecrawl API. |
design-system-architect | Menyusun token visual hasil ekstraksi ke dalam design system enterprise berbasis OKLCH & Radix/Base UI. |
ui-ux-pro-max | Memberikan acuan BM25 visual style, pasangan font Google Fonts, dan checklist aksesibilitas WCAG 2.2. |
senior-frontend | Mengimplementasikan kode komponen React 19 / Next.js 15 App Router siap produksi. |
tailwind-expert | Mengatur konfigurasi Tailwind CSS v4 @theme dan utilitas responsif. |
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概要と使いどころ
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
日本語の概要は準備中です。原文の説明を表示しています。