frontend-analyzer

ils15's avatarfrom ils15

Analyze React/Next.js components to extract typography, colors, layout, fonts, spacing systems, and design tokens. Identifies accessibility issues, responsive breakpoints, and component hierarchies.

⭐0stars🔀0forks📁View on GitHub🕐Updated Dec 23, 2025

When & Why to Use This Skill

Frontend Analyzer is a specialized Claude skill designed for deep inspection of React and Next.js applications. It automates the extraction of critical design tokens—such as typography, color palettes, and spacing systems—while auditing component hierarchies and responsive breakpoints. By identifying WCAG accessibility violations and performance bottlenecks, it helps developers and designers maintain UI consistency and ensure high-quality, inclusive frontend codebases.

Use Cases

  • Design System Auditing: Automatically extract and document typography, color scales, and spacing tokens from existing components to ensure design system compliance.
  • Accessibility (A11y) Compliance: Identify WCAG AA/AAA violations, including contrast ratio issues and semantic HTML errors, to build more inclusive web interfaces.
  • Responsive UI Debugging: Analyze CSS Grid, Flexbox layouts, and breakpoints to ensure components behave correctly across mobile, tablet, and desktop views.
  • Component Architecture Mapping: Visualize complex component nesting, props interfaces, and styling strategies to streamline refactoring and code reviews.
namefrontend-analyzer
descriptionAnalyze React/Next.js components to extract typography, colors, layout, fonts, spacing systems, and design tokens. Identifies accessibility issues, responsive breakpoints, and component hierarchies.

Frontend Analyzer

Analisa e identifica tipografia, cores, layout, fontes e elementos de design system em componentes frontend.

Overview

The Frontend Analyzer skill provides deep inspection of frontend code, design elements, and visual properties. It extracts typography, color palettes, spacing systems, component hierarchies, and accessibility attributes from React/Next.js applications.

Core Capabilities

1. Visual Element Analysis

🔤 Typography Detection

  • Font families (system fonts, Google Fonts, custom fonts)
  • Font sizes and scaling systems (rem, px, %)
  • Font weights (100-900)
  • Line heights and letter spacing
  • Text decorations and text transforms
  • Font loading strategies (WOFF2, variable fonts)

🎨 Color Palette Extraction

  • Primary, secondary, accent colors
  • Background and text colors
  • Semantic colors (success, error, warning, info)
  • Opacity/alpha values
  • Color space (RGB, HSL, hex, CSS variables)
  • Dark mode variants

📐 Layout & Spacing

  • Grid systems (CSS Grid, Flexbox)
  • Spacing scale (gaps, margins, padding)
  • Breakpoints and responsive behavior
  • Container queries and fluid sizing
  • Z-index hierarchy
  • Positioning strategies

🧩 Component Architecture

  • Component hierarchy and nesting
  • Reusable component patterns
  • Props and TypeScript interfaces
  • State management patterns
  • Custom hooks usage
  • Styled components vs CSS modules

2. Analysis Categories

  1. Visual Inspection - Screenshots and visual differences
  2. Code Inspection - Component code structure
  3. Design System - Design token usage
  4. Accessibility (A11y) - WCAG AA/AAA compliance
  5. Performance - Font loading optimization

Analysis Output Structure

## 🎨 VISUAL ELEMENTS DETECTED

### Typography System
- Primary Font: [Font family, source, fallback]
- Heading Scale: H1-H6 sizes and weights
- Body Text: Default size, line-height, letter-spacing
- Monospace: Code/terminal fonts

### Color Palette
- Primary: #XXXXXX (RGB, HSL, CSS var)
- Semantic: Success, error, warning colors
- Dark Mode: Color scheme variants
- Contrast Ratios: WCAG AA/AAA compliance

### Layout System
- Grid: [Columns, gap, max-width]
- Breakpoints: [Mobile, tablet, desktop specs]
- Spacing Scale: [Base unit, multipliers]

Usage Examples

Example 1: Extract Design Tokens

Input: "Analise tipografia de ofertachina.com" Output: All fonts used, sizes, weights, loading strategy

Example 2: Color Palette Analysis

Input: "Extraia paleta de cores do ProductCard" Output: Exact colors, WCAG compliance, dark mode variants

Example 3: Component Deep Dive

Input: "Analise estrutura de ProductCard" Output: JSX structure, props, styling approach, accessibility

Example 4: Design System Audit

Input: "Audite design system compliance" Output: % compliance, violations, refactoring recommendations

Accessibility (WCAG)

  • Contrast ratios: Pass/Fail by element
  • Font sizes: Minimum sizes met
  • Interactive elements: Size compliance
  • Semantic HTML: Structure quality

Performance Metrics

  • Font file sizes and optimization
  • Image optimization status
  • CSS bundle size
  • Component render efficiency

Integrations

With Playwright

  • Automated visual analysis
  • Color & typography extraction
  • Accessibility testing

With Prompt Improver

  • Design tokens inform prompt creation
  • UI patterns documented in instructions

Tools & Technologies Reference

  • CSS Analysis: PostCSS, cssstats
  • Typography: Google Fonts API, Font loading APIs
  • Color: Chroma.js, ntc.js (color naming)
  • Accessibility: axe-core, WAVE
  • React Inspection: React DevTools, Storybook
  • Design Systems: Figma API, Design tokens parser

References

Changelog

  • v1.0 (2025-12-19): Initial release with typography, color, layout, component, and accessibility analysis