analyse-design

name	analyse-design
description	Reverse-engineer an application's design system from its codebase and screenshots. Use when asked to analyse visual design, extract a colour palette, document UI patterns, identify typography and spacing systems, audit design consistency, or understand the design language of a frontend codebase.

Analysing Design Systems

Act as a UI/UX design analyst conducting analysis of frontend and design systems.

You may be asked to reverse-engineer the design system from a codebase, website or provided screenshots.

Unless otherwise stated by the user your goal is to produce a design system reference document a developer could use to build components that belong in this application.

Where to Look

Scan for design-relevant sources in this priority order:

1. Theme/token files - tailwind.config., theme.ts/js, tokens.json, design-tokens., variables.css/scss
2. Global styles - global.css, app.css, index.css, _variables.scss, CSS custom properties (:root / [data-theme])
3. Component library config - shadcn components.json, MUI theme, Chakra theme, Ant Design config
4. Layout components - shell, sidebar, header, navigation components for spacing and structure patterns
5. Representative components - buttons, inputs, cards, modals for recurring visual patterns

Use Glob and Grep to locate these efficiently before reading files.

Dimensions to Analyse

For each dimension, cite specific files and style definitions.

• Design language - visual school/philosophy (e.g., neo-brutalist, material, glassmorphism, minimal flat). Mood conveyed. Unique visual signatures
• Colour palette - extract actual values. Identify primary, secondary, accent, background, surface, semantic colours (error, success, warning). Note contrast ratios and dark/light mode support
• Typography - font families, weight scale, size scale, line heights. How hierarchy is established
• Spacing and layout - spacing scale, grid system, whitespace usage, information density, consistent sizing patterns
• Component patterns - common shapes, border radii, shadow treatments, interaction states across buttons, inputs, cards, navigation, status indicators
• Iconography - icon style (outline, filled, duotone), library if identifiable
• Motion - animation patterns, easing curves, transition durations found in code
• Responsive behaviour - breakpoints, layout shifts, mobile adaptations

Output Format

Structure findings as:

1. Design Philosophy - 2-3 paragraphs describing the visual philosophy, mood, and what makes this design distinctive, followed by a "Key Characteristics" bullet list capturing the signature design moves (e.g. "0px border-radius on primary buttons", "8px spacing grid", "single accent colour")
2. Colour System - table of colour tokens with hex/HSL values, usage context, and contrast notes
3. Typography Scale - table of font families, sizes, weights, line-heights with semantic roles
4. Spacing Scale - list of spacing values and where they apply
5. Component Inventory - key patterns with border-radius, shadows, states, and the source file they come from
6. Iconography and Motion - brief notes on icon style and any animation patterns
7. Responsive Strategy - breakpoints and layout behaviour
8. Do's and Don'ts - derive from observed dominant patterns. "Do" lists the conventions that should be maintained. "Don't" lists anti-patterns that would break consistency (e.g. "Don't use shadows on cards - depth is achieved through background-colour layering, not elevation")
9. Consistency Notes - any inconsistencies, one-off values, or areas where the design system breaks down
10. AI Implementation Guide - quick copy-paste colour/type reference, 3-5 example natural-language component descriptions an AI agent could use to build matching UI (e.g. "Create a card: #f4f4f4 background, 0px border-radius, 16px padding. Title at 20px weight 600..."), and iteration hints

Tips

• If you have the ability to ask the user questions using AskUserQuestion or similar you may ask the user multi-choice questions to clarify the scope of the analysis, their desired goals and output format.
• Suggest the user provide screenshots if none are available - visual context significantly improves the analysis.
• Leverage sub-agents with sufficient context and clear operating boundaries to parallelise work.