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.