visual-ai-analyzer

Analyze visual diffs between baseline and current UI screenshots.

1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/mytechsonamy/VibeFlow --skill visual-ai-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: visual-ai-analyzer
Source: https://github.com/mytechsonamy/VibeFlow/tree/main/skills/visual-ai-analyzer
Command: npx skills add https://github.com/mytechsonamy/VibeFlow --skill visual-ai-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Inspects screenshots to surface visual regressions, design drift, and accessibility gaps that pixel-based checks might miss.

Core Features & Use Cases

  • Detect visual regressions between baseline and current UI
  • Describe typography, color, contrast, and layout changes
  • Validate design fidelity against references or design tokens

Quick Start

Provide the current screenshot (and an optional baseline) to generate a visual-diff report with actionable findings

Frequently Asked Questions about visual-ai-analyzer

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

FAQPage Schema
How do I detect visual regressions between baseline and current UI screenshots?

Detect visual regressions by analyzing visual diffs between baseline and current UI screenshots. The analysis inspects screenshots to surface visual regressions, design drift, and accessibility gaps that pixel-based checks might miss.

Can I analyze design drift and accessibility gaps using visual analysis?

Yes, visual analysis detects design drift and accessibility gaps by applying confidence and domain-based contrast rules. It classifies findings using a visual-finding catalog to evaluate typography, color, and contrast changes across UI screens.

What is the best way to validate UI design fidelity against references?

The best way to validate UI design fidelity is using design-comparison mode. This approach analyzes standalone screenshots to validate typography, color, contrast, and layout fidelity against references or design tokens.

How do I generate a visual-diff report for UI changes?

Generate a visual-diff report by providing a current screenshot and an optional baseline. The pipeline calls Claude vision with a structured prompt, classifies findings, and writes the actionable outputs to artifact folders.

Does pixel-based visual comparison work for detecting semantic UI changes?

Pixel-based visual comparison alone does not detect semantic UI changes effectively. Visual analysis inspects screenshots to surface visual regressions, design drift, and accessibility gaps that pixel-based checks might miss.