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Debug Visual Regression

Analyzes UI screenshots to diagnose visual regressions and recommend corrective actions.

34|2|Updated Jul 23, 2025
Search Tags:#screenshots#debug#comparison#diff#baseline#visual-regression#AI-analysis
One-click install
npx skills add https://github.com/vizzly-testing/cli --skill debug-visual-regression
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Debug Visual Regression
Source: https://github.com/vizzly-testing/cli/tree/main/claude-plugin/skills/debug-visual-regression
Command: npx skills add https://github.com/vizzly-testing/cli --skill debug-visual-regression

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When visual diffs appear between baseline and current screenshots, this Skill analyzes the failure to identify root causes, reduces back-and-forth, and guides you on accepting or fixing changes.

Core Features & Use Cases

  • Unified analysis: Works with both local TDD and cloud mode to fetch comparison details.
  • AI-assisted insights: Provides context on what changed and likely causes.
  • Actionable recommendations: Suggests whether to accept, reject, or investigate code.
  • Use Case: You notice a homepage screenshot diff; run this Skill to quickly understand the change and decide next steps.

Quick Start

Use the debug-visual-regression Skill when a visual test fails and you want AI-assisted analysis.

Frequently Asked Questions about Debug Visual Regression

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

FAQPage Schema
How do I debug visual regression failures in UI tests?▼

Visual regression debugging analyzes differences between baseline and current screenshots to identify root causes. This Skill compares images, highlights what changed, and suggests whether to accept the change, reject it, or investigate your code—cutting through manual diff review.

Can I use visual regression testing in both local and cloud environments?▼

Yes. This Skill works across local TDD mode and cloud-based testing environments, automatically detecting which mode you're in and fetching comparison details from either source.

What information does AI analysis provide when screenshots differ?▼

AI analysis contextualizes what changed visually and identifies likely causes behind the differences. It then recommends concrete next steps: accept the visual change, reject it, or fix the underlying code triggering it.

How do I handle named screenshots or comparison IDs in visual tests?▼

The Skill accepts both named screenshots and comparison IDs as input, views the images side by side, analyzes their differences, and delivers structured diagnostic output without requiring manual baseline management.

What's the fastest way to decide whether a visual change is intentional?▼

Run this Skill when a visual test fails to get AI-guided insights on the diff in seconds. Step-by-step debugging guidance helps you immediately decide: is this change expected, a bug, or something to investigate further?

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