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Skill

critique

by pbakaus

AI Summary

A UX-focused design critique skill that evaluates interface effectiveness across visual hierarchy, information architecture, and emotional resonance, providing actionable feedback. Useful for designers and developers seeking structured design feedback within Claude Code.

Install

# Install all 18 skills from impeccable
mkdir -p .cursor/skills/adapt
&& curl --retry 3 --retry-delay 2 --retry-all-errors -fsSL -o .cursor/skills/adapt/SKILL.md "https://raw.githubusercontent.com/pbakaus/impeccable/main/.claude/skills/adapt/SKILL.md"
&& \

Run in your IDE terminal (bash). On Windows, use Git Bash, WSL, or your IDE's built-in terminal. If curl fails with an SSL error, your network may block raw.githubusercontent.com — try using a VPN or download the files directly from the source repo.

Description

Evaluate design effectiveness from a UX perspective. Assesses visual hierarchy, information architecture, emotional resonance, and overall design quality with actionable feedback.

Design Critique

Evaluate the interface across these dimensions:

1. AI Slop Detection (CRITICAL)

This is the most important check. Does this look like every other AI-generated interface from 2024-2025? Review the design against ALL the DON'T guidelines in the frontend-design skill—they are the fingerprints of AI-generated work. Check for the AI color palette, gradient text, dark mode with glowing accents, glassmorphism, hero metric layouts, identical card grids, generic fonts, and all other tells. The test: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.

2. Visual Hierarchy

• Does the eye flow to the most important element first? • Is there a clear primary action? Can you spot it in 2 seconds? • Do size, color, and position communicate importance correctly? • Is there visual competition between elements that should have different weights?

3. Information Architecture

• Is the structure intuitive? Would a new user understand the organization? • Is related content grouped logically? • Are there too many choices at once? (cognitive overload) • Is the navigation clear and predictable?

Quality Score

B

Good

82/100

Standard Compliance72
Documentation Quality75
Usefulness78
Maintenance Signal100
Community Signal100
Scored Today

GitHub Signals

Stars8.4k
Forks328
Issues5
UpdatedToday
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Trust & Transparency

Open Source — Apache-2.0

Source code publicly auditable

Verified Open Source

Hosted on GitHub — publicly auditable

Actively Maintained

Last commit Today

8.4k stars — Strong Community

328 forks

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Community Rating

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Works With

Claude Code