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Ewallyw
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visual-verdict

Compare screenshots against reference images and output JSON verdicts.

Updated May 31, 2026
Search Tags:#front-end development#layout validation#screenshot analysis#visual quality#UI comparison
One-click install
npx skills add https://github.com/Ewallyw/claude-config-public --skill visual-verdict-ewallyw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visual-verdict
Source: https://github.com/Ewallyw/claude-config-public/tree/main/claude-config-master/claude-config-master/skills/visual-verdict
Command: npx skills add https://github.com/Ewallyw/claude-config-public --skill visual-verdict-ewallyw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the challenge of ensuring visual consistency and quality in UI design by comparing generated screenshots against reference images.

Core Features & Use Cases

  • Screenshot Comparison: Automates the comparison of a generated UI screenshot with one or more reference images.
  • Detailed Verdict: Provides a JSON-formatted, detailed verdict indicating deviations from the reference, including score, pass/fail status, and specific suggestions for correction.
  • Use Case: Before deploying UI changes, use the visual-verdict skill to quickly check that a new design meets the intended visual criteria.

Quick Start

Compare the new screenshot 'new-ui-layout.png' against 'reference-ui-layout.png' and retrieve the result using /visual-verdict new-ui-layout.png reference-ui-layout.png.

Frequently Asked Questions about visual-verdict

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate screenshot comparison for UI layout validation?▼

Automate screenshot comparison for UI layout validation by comparing generated UI screenshots against reference images to identify layout and style mismatches. This skill outputs a JSON-formatted verdict indicating deviations, score, pass/fail status, and correction suggestions.

What is visual quality assurance in continuous integration pipelines?▼

Visual quality assurance in continuous integration pipelines is the automated process of checking generated screenshots against reference images to ensure visual consistency. It helps front-end developers detect layout and style mismatches before deploying UI changes.

How do I check a new UI design against a reference screenshot?▼

To check a new UI design against a reference screenshot, compare the new image file directly with the reference image file. The skill returns a detailed JSON verdict with a pass/fail status, deviation score, and specific suggestions for correcting visual mismatches.

Does visual regression testing require specific Python image processing libraries?▼

Yes, this visual regression testing skill relies on Python image processing libraries to compare screenshots against reference images. It is intended for front-end developers and UI/UX designers working within continuous integration pipelines to ensure visual consistency.

What details are included in a UI screenshot comparison verdict?▼

A UI screenshot comparison verdict includes a JSON-formatted output detailing deviations from the reference image. It provides a visual quality score, a pass or fail status, and specific suggestions for correcting identified layout and style mismatches.

Can I use layout validation for front-end development before deployment?▼

Yes, you can use layout validation for front-end development before deployment. By running screenshot comparisons against reference images in your continuous integration pipelines, you can ensure new UI designs meet intended visual criteria and prevent style mismatches.

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