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vanszs/anti-ai-ui

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22 stars 质量 54 趋势 27MIT

Anti-AI Slop UI/UX steering skills — filter, palette, and research tool for Kiro, Claude Code, Cursor, Windsurf, Copilot, and more. Build intentional, branded, accessible interfaces.

概览

A comprehensive steering suite for Kiro that eliminates AI slop and produces intentional, branded, accessible UI/UX — not the statistical-mean design defaults that make AI-generated interfaces instantly recognizable. LLMs generate UI by averaging across training data dominated by Tailwind docs, shadcn/ui examples, abandoned repos with unchanged defaults, and 2020–2024 Dribbble SaaS shots. The output (arXiv:2603.13036, "Interrogating Design Homogenization in Web Vibe Coding"). Every AI-generated landing page has purple/indigo gradients, Inter everywhere, centered dual-CTA heroes, 3-card feature grids, glassmorphism navbars, and hype copy like "Supercharge your workflow." If you could swap the logo with a competitor and nobody would notice — it's slop. provides three complementary steering skills that work together: Filter out slop → Build from proven patterns → Research industry-specific solutions.

README

以下为原文 README 节选,完整内容请查看原文。

Anti-AI-UI/UX

A comprehensive steering suite for Kiro that eliminates AI slop and produces intentional, branded, accessible UI/UX — not the statistical-mean design defaults that make AI-generated interfaces instantly recognizable.

The Problem

LLMs generate UI by averaging across training data dominated by Tailwind docs, shadcn/ui examples, abandoned repos with unchanged defaults, and 2020–2024 Dribbble SaaS shots. The output collapses toward the visual mean (arXiv:2603.13036, “Interrogating Design Homogenization in Web Vibe Coding”).

The result: Every AI-generated landing page has purple/indigo gradients, Inter everywhere, centered dual-CTA heroes, 3-card feature grids, glassmorphism navbars, and hype copy like “Supercharge your workflow.”

If you could swap the logo with a competitor and nobody would notice — it’s slop.

The Solution

Anti-AI-UI/UX provides three complementary steering skills that work together:

┌─────────────────────────────────────────────────────────────────┐
│  FILTER: Anti-AI-Slop                                          │
│  What to AVOID — hard bans on purple gradients, Inter-everywhere,│
│  glassmorphism, emoji icons, hype copy, no reduced-motion       │
└─────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────┐
│  PALETTE: Component Reference Design                           │
│  What to BUILD — curated patterns from MUI, shadcn, Radix,     │
│  MD3, Apple HIG, IBM Carbon, NNG, Refactoring UI               │
└─────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────┐
│  RESEARCH: UI/UX Pro Max                                       │
│  Design intelligence — 161 reasoning rules, 67 UI styles,      │
│  57 font pairings, industry-specific design system generator   │
└─────────────────────────────────────────────────────────────────┘

Together: Filter out slop → Build from proven patterns → Research industry-specific solutions.

Features

🛡️ Anti-AI-Slop — The Filter

Detect and ban the statistical-mean design defaults LLMs emit.

在 GitHub 查看完整 README

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