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critique

Analyze design visual hierarchy, information architecture, and cognitive load with quantitative scoring.

Updated Apr 13, 2026
Search Tags:#user experience#design critique#UX evaluation#design feedback#automated detection
One-click install
npx skills add https://github.com/nayyirahsan/labrecon --skill critique-nayyirahsan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: critique
Source: https://github.com/nayyirahsan/labrecon/tree/main/.agents/skills/critique
Command: npx skills add https://github.com/nayyirahsan/labrecon --skill critique-nayyirahsan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires impeccable, pgvector, cohere, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill offers a comprehensive critique of design, providing actionable insights and recommendations to enhance user experience and design quality.

Core Features & Use Cases

  • UX Critique: Evaluates design from a UX perspective, considering visual hierarchy, information architecture, and emotional resonance.
  • Quantitative Scoring: Offers a structured approach to scoring design based on various criteria.
  • Automated Detection: Utilizes automated tools to detect common design anti-patterns and issues.
  • Actionable Feedback: Provides detailed feedback with specific recommendations for improvement.
  • Use Case: Ideal for designers, product managers, or anyone involved in the design process who wants to improve the quality of their designs.

Quick Start

Run the critique skill on your design to receive a detailed critique report.

Frequently Asked Questions about critique

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

FAQPage Schema
How do I evaluate visual hierarchy and cognitive load in a UX design?▼

Automated design critique evaluates visual hierarchy and cognitive load by analyzing your interface to detect anti-patterns, generate quantitative scoring, and provide actionable UX feedback.

What is automated design anti-pattern detection and how does it work?▼

Automated design anti-pattern detection analyzes interfaces to identify usability issues, utilizing vector search and AI models to evaluate information architecture and emotional resonance for actionable feedback.

Can I get quantitative scoring and persona-based testing for design feedback?▼

Yes, automated UX evaluation provides quantitative scoring and persona-based testing by analyzing your design against structured criteria and simulated user perspectives to generate actionable recommendations.

Does this design critique tool require vector databases and AI dependencies?▼

Yes, this design critique tool requires vector database and AI dependencies, specifically pgvector and Cohere, alongside an immaculate processing environment to execute automated detection scripts.

What is the best way to perform a comprehensive UX critique on an existing interface?▼

The best way to perform a comprehensive UX critique is to use an automated evaluation skill that analyzes visual hierarchy, detects anti-patterns, and generates persona-based actionable feedback.

When should I avoid using automated UX evaluation for design feedback?▼

You should avoid using automated UX evaluation when your design lacks sufficient visual elements for analysis, or when you require purely subjective human emotional resonance review without quantitative scoring.

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