gpt-taste

Enforces high-end UX/UI and GSAP motion principles with Python-driven randomization.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/VSF-QC-TTS/vf-qc-copilot --skill gpt-taste-vsf-qc-tts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-taste
Source: https://github.com/VSF-QC-TTS/vf-qc-copilot/tree/main/.agents/skills/gpt-taste
Command: npx skills add https://github.com/VSF-QC-TTS/vf-qc-copilot --skill gpt-taste-vsf-qc-tts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gsap, pypdf2, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill breaks away from standard design defaults, enforcing high-end design principles such as true randomization for layout variance and advanced GSAP motion effects.

Core Features & Use Cases

  • True Randomization: Utilizes Python-driven randomization to avoid lazy UI design defaults.
  • Advanced GSAP Motion: Implements sophisticated GSAP motion for dynamic UI elements.
  • Grid Execution: Ensures mathematically flawless grid execution with no empty spaces.
  • High-End Assets: Employs varied, high-end assets for a professional aesthetic.

Quick Start

Use the gpt-taste skill to generate a design with an ultra-wide container, 2-line hero text, and an artistic floating image overlapping text from the bottom right.

Frequently Asked Questions about gpt-taste

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

FAQPage Schema
How do I prevent grid gaps and achieve mathematically flawless grid execution in UI design?

Achieving flawless grid execution requires enforcing strict layout principles to eliminate empty spaces. This Skill applies mathematical grid execution to ensure no grid gaps appear in high-end product designs.

What's the best way to implement true randomization for layout variance in high-end product design?

The best way to achieve true randomization for layout variance is using Python-driven randomization. This method avoids lazy UI design defaults and statistical biases by mathematically enforcing unique layout generation.

How do I add advanced GSAP motion to dynamic UI components?

Adding advanced GSAP motion to dynamic UI components requires integrating the GSAP library. You apply sophisticated motion effects to your UI elements, ensuring dynamic interactions without relying on standard design defaults.

Do I need Python execution and GSAP libraries to generate dynamic UI components?

Yes, you need Python execution and GSAP libraries to generate these dynamic UI components. Python drives the layout randomization logic while GSAP handles the advanced motion engineering for the UI elements.

Why does my layout design suffer from statistical biases and lazy UI defaults?

Layout design suffers from statistical biases and lazy UI defaults when standard generation methods are used. Breaking design defaults by enforcing elite UX/UI principles eliminates these biases through true randomization.