Evaluate digital interface designs for UX quality and AI-generated patterns.
npx skills add https://github.com/danielzmeow/Web-Tutorial --skill critique-danielzmeow
Please help me install this Agent Skill. Skill: critique Source: https://github.com/danielzmeow/Web-Tutorial/tree/main/.agents/skills/critique Command: npx skills add https://github.com/danielzmeow/Web-Tutorial --skill critique-danielzmeow
This Skill addresses the challenge of objectively evaluating digital interface designs, ensuring they are not only aesthetically pleasing but also highly effective from a user experience perspective, and free from common AI-generated design pitfalls.
Critique the design of the attached user profile screen, focusing on visual hierarchy and AI-generated design tells.
High-intent search queries and answers about installing and using this skill.
To evaluate digital interface designs, assess visual hierarchy, information architecture, emotional resonance, and discoverability. This Skill provides a holistic UX critique, identifies AI-generated design patterns, and delivers actionable remediation commands to improve overall design quality.
AI slop detection critically identifies and flags common patterns indicative of AI-generated design within digital interfaces. This mechanism helps product teams avoid generic AI design tropes and ensures the interface maintains authentic emotional resonance and intuitive discoverability.
To get actionable feedback on a user onboarding flow, attach the design screen and request a UX critique. The Skill provides specific, prioritized recommendations for improvement, including suggested commands for remediation to ensure the flow is intuitive and engaging.
Yes, you can critique a user profile screen by attaching it and specifying focus areas like visual hierarchy or AI-generated design tells. The Skill adheres to design principles and context gathering protocols to assess the requested interface evaluation dimensions.
Yes, this UX critique tool critically identifies and flags common patterns indicative of AI-generated design pitfalls. By evaluating visual hierarchy and composition, it ensures digital interfaces are free from generic AI design tropes and highly effective for users.
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