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.