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visual-review

Compare UI screenshots and analyze crops to detect visual defects.

24|8|Updated Mar 9, 2026
Search Tags:#quality assurance#UI design#visual review#brand compliance#image comparison
One-click install
npx skills add https://github.com/usecompai/compound-operations-model --skill visual-review-usecompai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visual-review
Source: https://github.com/usecompai/compound-operations-model/tree/main/skills/visual-review
Command: npx skills add https://github.com/usecompai/compound-operations-model --skill visual-review-usecompai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires image-comparison-toolkit, python-vision, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the visual review process for UI, emails, dashboards, and other design assets, ensuring they meet brand and quality standards before finalization.

Core Features & Use Cases

  • Screenshot Critique: Perform screenshot-based critiques of UIs, dashboards, and designs.
  • Before/After Comparison: Compare two visual assets side by side.
  • Element Crop Analysis: Analyze individual elements for defects or issues.
  • Use Case: When you need to validate the visual changes of a UI before shipping, or ensure compliance with brand guidelines.

Quick Start

Analyze the visual changes from the before and after screenshots of the dashboard, ensuring compliance with the current brand guidelines.

Frequently Asked Questions about visual-review

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

FAQPage Schema
How do I automate visual review for UI design assets?▼

Automate visual review for UI design assets by using image comparison techniques and crop analysis to detect visual defects. This validates design changes and ensures quality assurance before shipping.

What is the best way to ensure brand compliance for dashboard screenshots?▼

The best way to ensure brand compliance for dashboard screenshots is to perform automated screenshot critiques. This process validates visual assets against brand guidelines by analyzing individual elements for defects or issues.

How do I compare two visual assets side by side to detect defects?▼

Compare two visual assets side by side using before/after comparison algorithms. This detects visual defects by running crop analysis on individual elements, ensuring design validation and quality assurance for UI changes.

Does this visual review process work with existing image comparison toolkit dependencies?▼

Yes, the visual review process works with existing image comparison toolkit dependencies. It requires comparison algorithms and image processing capabilities provided by the image-comparison-toolkit and python-vision dependencies to function.

When do I need to use element crop analysis for design validation?▼

You need element crop analysis for design validation when you must analyze individual elements within a UI for defects or issues. This ensures visual changes meet brand compliance and quality standards before finalization.

What are the limitations of automating brand compliance checks through image comparison?▼

The limitations of automating brand compliance through image comparison include relying entirely on comparison algorithms and image processing capabilities. It cannot detect contextual or semantic design issues, only visual defects found through crop analysis.

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