taste

Enforce design engineering rules and anti-slop guardrails for React/Next.js frontend workflows.

Updated Jul 22, 2025
One-click install
npx skills add https://github.com/MichaelSolati/mkai --skill taste-michaelsolati
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: taste
Source: https://github.com/MichaelSolati/mkai/tree/main/profiles/ui-ux-design/skills/taste
Command: npx skills add https://github.com/MichaelSolati/mkai --skill taste-michaelsolati

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the common issue of LLMs generating generic, cliché UI/UX designs driven by statistical biases, ensuring all generated interfaces are premium, consistent, and aligned with high-end design engineering standards.

Core Features & Use Cases

  • Metric-Driven Design Baselines: Enforces configurable design variance, motion intensity, and visual density rules to standardize output quality and eliminate generic AI patterns.
  • Anti-Slop Guardrails: Bans common AI design clichés (e.g., Inter font, neon purple glows, 3-column card layouts) and mandates contextually appropriate, premium design choices.
  • Advanced Interaction & Performance Rules: Includes specifications for Framer Motion micro-interactions, hardware acceleration, responsive layout fallbacks, and high-end creative UI patterns (Bento grids, magnetic buttons, glassmorphism) for production-ready interfaces.
  • Use Case: When building a modern SaaS dashboard, this Skill ensures the output avoids generic AI aesthetics, uses proper spring physics for interactions, and follows mobile-first responsive rules for a polished, professional result.

Quick Start

Use the taste skill to generate a premium, non-generic SaaS dashboard UI with enforced design guardrails and anti-slop rules.

Frequently Asked Questions about taste

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

FAQPage Schema
How do I stop AI from generating generic UI/UX designs in React?▼

To stop AI from generating generic UI/UX designs in React, apply strict design engineering rules and anti-slop guardrails to your LLM workflow. This enforces metric-driven baselines and bans common AI design clichés for premium, production-ready interfaces.

What are common AI UI design clichés to avoid in SaaS dashboards?▼

Common AI UI design clichés to avoid in SaaS dashboards include overusing the Inter font, applying neon purple glows, and defaulting to 3-column card layouts. Enforcing anti-slop guardrails mandates contextually appropriate, premium design choices instead.

Can I use Framer Motion micro-interactions for production-ready web interfaces?▼

Yes, you can use Framer Motion micro-interactions for production-ready web interfaces by enforcing hardware acceleration and proper spring physics. Advanced interaction rules ensure animations are performance-optimized and contextually appropriate.

Does this approach enforce responsive layout consistency for Next.js frontend development?▼

Yes, this approach enforces responsive layout consistency for Next.js frontend development by applying mobile-first responsive rules and layout fallbacks. This ensures SaaS dashboards and marketing sites maintain visual consistency across devices.

What is the best way to standardize output quality for AI-generated marketing sites?▼

The best way to standardize output quality for AI-generated marketing sites is to enforce configurable design variance, motion intensity, and visual density rules. These metric-driven design baselines eliminate generic AI patterns and standardize aesthetics.

When should I use Bento grids and glassmorphism in frontend design?▼

You should use Bento grids and glassmorphism in frontend design when building high-end creative UI patterns for modern interactive web interfaces. These advanced patterns replace generic AI aesthetics with polished, professional results.