Escape generic AI-looking frontends using ux-skill
Install the ux-skill design intelligence engine (featuring 152 anti-pattern rules, 160 brand guidelines, and a 7-axis synthesizer) to inject deterministic constraints into AI coding tools like Cursor and Claude Code, ensuring generated UIs break away from cookie-cutter AI web aesthetics.
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Added 2026-10-31 · originally published 2026-10-25
Key points
- Install `uxskill` via `pip install uxskill` and integrate it as a design intelligence engine into 17 mainstream IDEs and AI coding tools.
- Leverage the Python inference core and 7-axis synthesizer (warmth, contrast, density, geometry, formality, motion, typography) to deterministically map and compile requirements into fresh design tokens.
- Perform evaluations with hard bottoms: outputs that drop brand colors, logos, or lack realistic images are marked as immediate failures.
- Adopt mobile-first and overflow-prevention gates to intercept horizontal scrolling, wrapping navigation, and excessively sticky headers.
- Use 152 deterministic anti-pattern checkers (anti-AI-slop linter) to prevent generic visual outputs.
Pitfalls
- Using generic AI styles (AI slop) such as soft purple gradients, leading to a lack of brand recognition.
- Dropping brand colors, logos, or producing outputs completely devoid of realistic images.
- Encountering mobile adaptation issues such as horizontal scrolling, navigation or title wrapping errors, and excessively sticky headers.
.cursorrules
- You must ensure the integrity of brand colors and logos, strictly prohibiting generic UIs without brand characteristics. - Ensure pages include realistic images (using seeded picsum); low-quality generic AI placeholder images are strictly prohibited. - Guarantee responsive design, preventing horizontal scrolling, navigation/wordmark/button label wrapping, or excessively high sticky headers. - Constrain code output through deterministic design systems and anti-pattern linters to avoid generating generic AI-style interfaces.
Copy-ready prompt
Please write the frontend code for [Project Name]. When designing and implementing the UI, you must avoid generic AI styles and strictly follow these constraints: 1. Ensure brand fidelity—primary colors must be justified, and brand colors or logos must not be lost; 2. Must include realistic image placeholders (using seeded picsum, disabling random or meaningless placeholders); 3. Strictly follow mobile-first and component behavior standards, eliminating unnecessary horizontal scrolling and text-wrap errors.
#AI Frontend Styling#Pitfall Guide#ux-skill#UI Design
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