taste-skill

Detect and eliminate generic AI template patterns in frontend designs.

1|1|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/gaoqiongxie/skills-ai --skill taste-skill-gaoqiongxie
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: taste-skill
Source: https://github.com/gaoqiongxie/skills-ai/tree/main/taste-skill
Command: npx skills add https://github.com/gaoqiongxie/skills-ai --skill taste-skill-gaoqiongxie

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated frontend interfaces frequently exhibit generic "AI slop" patterns such as overused purple gradients, uniform equal-width card layouts, monotonous single-tier typography, repetitive fade-in animations, and mechanical spacing increments that lack unique design intent, brand identity, and visual polish.

Core Features & Use Cases

  • Framework-agnostic design rules: Works with any frontend stack (HTML/CSS, React, Vue, Svelte etc.) by focusing on design intent rather than framework-specific APIs.
  • Anti-slop pattern detection: Automatically identifies and rejects common AI template patterns like 3-column equal-width cards, blue-purple gradient hero sections, uniform rounded shadow cards, and generic placeholder content.
  • Parameterized style control: Three core adjustable parameters (DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY) to precisely control design deviation from templates, animation strength, and information density.
  • Preset design direction system: 8 built-in design styles (minimal, brutalist, lux soft, tech cold, editorial, organic, retro digital, neo-brutalism) for different brand and use case scenarios. Use case: A SaaS product landing page generated by AI with a standard blue-purple gradient hero section and 3-column equal-width feature cards can be redesigned with this skill to adopt a tech-cold design direction with balanced parameters, eliminating all generic AI template patterns and improving overall visual quality.

Quick Start

Use the taste-skill to redesign my current SaaS landing page to a tech-cold style with moderate design variance and smooth motion effects, removing all generic AI template patterns and elevating its overall visual quality.

Frequently Asked Questions about taste-skill

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

FAQPage Schema
How do I remove generic AI design patterns from my frontend interfaces?

To remove generic AI design patterns from frontend interfaces, apply anti-slop pattern detection to identify overused elements like blue-purple gradients and equal-width cards, then use parameterized style control and preset design directions to enforce unique visual standards.

What are common AI slop patterns in UI design?

Common AI slop patterns in UI design include overused purple gradients, uniform equal-width card layouts, monotonous single-tier typography, repetitive fade-in animations, and mechanical spacing increments that lack unique brand identity.

Can I use these design rules with my React or Vue frontend stack?

Yes, you can use these design rules with any frontend stack including React, Vue, Svelte, and HTML/CSS. The framework-agnostic rules focus on design intent and visual parameters rather than framework-specific APIs.

How do I control visual density and animation strength in UI design?

You control visual density and animation strength in UI design by adjusting three core parameters: DESIGN_VARIANCE for template deviation, MOTION_INTENSITY for animation strength, and VISUAL_DENSITY for information density.

What is the best way to apply a specific design style to a SaaS landing page?

The best way to apply a specific design style to a SaaS landing page is selecting from eight built-in preset design directions like tech-cold or minimal, then configuring the design variance and motion parameters to eliminate generic template patterns.

Why does my AI-generated landing page lack brand differentiation?

Your AI-generated landing page lacks brand differentiation because standard generation produces mechanical spacing and template-like layouts without unique design intent. Applying parameterized style control and preset design directions enforces consistent brand differentiation.