Can it automatically fix the design discrepancies it finds?

Yes, after identification, the skill can generate corrected CSS values and code snippets to align your implementation with the reference design.

What inputs are needed to start a comparison?

You need to provide a reference design (image or Figma export) and either a screenshot of your current implementation or a URL for the skill to capture.

Does it support responsive design testing?

Yes, it can analyze breakpoint behavior and responsive layouts if provided with the corresponding reference images and viewport dimensions.

Is it more accurate than manual design review?

Yes, it identifies subtle differences in hex codes, pixel spacing, and font weights (like 400 vs 500) that are often missed by the human eye.

How does Design Compare identify visual issues?

It performs a systematic analysis of layout, spacing, typography, and colors by comparing a reference screenshot or mockup against your live implementation.

Design Compare

Name: Design Compare
Author: manashmandal

bymanashmandal

Design Tools

Compares frontend implementations against reference designs to identify visual discrepancies, spacing inconsistencies, and structural mismatches.

About

Design Compare is a specialized visual regression and QA tool for Claude Code that performs pixel-level and structural analysis between live frontend implementations and design mockups. By systematically evaluating layout alignment, typography, spacing tokens, and color accuracy, it eliminates the guesswork of manual "eyeballing" and provides a detailed report with actionable CSS fixes. It is ideal for developers who need to ensure their code matches Figma exports, screenshots, or design specs with high precision before handoff.

Key Features

Automated spacing, typography, and color validation
Pixel-level visual discrepancy identification
Instant generation of CSS fixes and issue checklists
Detailed comparison reports with match scores and priority levels
Systematic structural layout and grid alignment analysis
0 GitHub stars

Use Cases

Performing automated design QA reviews before project handoff
Validating a new frontend component against a Figma export or mockup
Debugging visual regressions and CSS inconsistencies during a UI refactor

About

Key Features

Automated spacing, typography, and color validation
Pixel-level visual discrepancy identification
Instant generation of CSS fixes and issue checklists
Detailed comparison reports with match scores and priority levels
Systematic structural layout and grid alignment analysis
0 GitHub stars

Use Cases

Performing automated design QA reviews before project handoff
Validating a new frontend component against a Figma export or mockup
Debugging visual regressions and CSS inconsistencies during a UI refactor