gpt-taste

Designs frontend interfaces with GSAP ScrollTriggers, Python-driven randomization, strict AIDA structure, and high-end typography.

8|3|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/magicpro97/vibeflow --skill gpt-taste-magicpro97
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gpt-taste
Source: https://github.com/magicpro97/vibeflow/tree/main/.agents/skills/gpt-tasteskill
Command: npx skills add https://github.com/magicpro97/vibeflow --skill gpt-taste-magicpro97

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the limitations of standard LLM-generated UIs by providing strict guidelines for randomization, structure, and design engineering.

Core Features & Use Cases

  • Design Engineering: Implements an elite design framework to ensure UIs meet high-quality standards.
  • True Randomization: Ensures no repetition in UI layouts, typography, and animations.
  • AIDA Structure: Implements the AIDA framework for better user engagement and flow.
  • Hero Architecture: Focuses on cinematic, wide layouts with no 6-line text walls.
  • Bento Grid: Eliminates dead space in grids for a seamless design.
  • GSAP Motion: Utilizes advanced GSAP techniques for interactive and dynamic UI experiences.

Quick Start

Activate the gpt-taste skill to begin engineering a high-end UX/UI design.

Frequently Asked Questions about gpt-taste

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

FAQPage Schema
How do I build frontend interfaces with GSAP ScrollTriggers and AIDA structure?▼

Build frontend interfaces by applying strict AIDA structure for user engagement and GSAP ScrollTriggers for dynamic motion. This approach ensures high-end typography and perfectly spaced, cinematic layouts without repetitive elements.

What is the best way to eliminate dead space in UI bento grids?▼

Eliminate dead space in UI bento grids by applying strict design engineering guidelines. This ensures seamless layout distribution, preventing text walls and maintaining high-end visual flow across the interface.

How does true randomization improve LLM-generated UI design?▼

True randomization improves LLM-generated UI design by using Python-driven logic to ensure no repetition in layouts, typography, or animations. This overcomes standard generation limitations to create perfectly spaced, motion-rich interfaces.

Can I use Python-driven randomization for UI layout generation?▼

Yes, you can use Python-driven true randomization for UI layout generation. This mechanism ensures no repetitive layouts occur, providing elite UX/UI quality and strict design engineering standards.

Why does my standard LLM-generated UI lack motion-rich architecture?▼

Standard LLM-generated UIs lack motion-rich architecture due to missing strict guidelines for randomization and design engineering. Implementing GSAP animations and AIDA structure provides the necessary cinematic, dynamic UI experiences.

When do I need AIDA structure for high-end UX/UI design?▼

You need AIDA structure for high-end UX/UI design when optimizing user engagement and flow. This framework pairs with GSAP motion engineering and hero architecture to create cinematic, wide layouts without 6-line text walls.