gpt-taste

Generate GSAP motion-rich AIDA landing pages with Python-simulated random layouts.

4|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/fysoul17/ian-on-v1 --skill gpt-taste-fysoul17
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-taste
Source: https://github.com/fysoul17/ian-on-v1/tree/main/.agents/skills/gpt-taste
Command: npx skills add https://github.com/fysoul17/ian-on-v1 --skill gpt-taste-fysoul17

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents typical AI-generated UI from looking cheap by enforcing premium spacing, typography, grid math, and GSAP-driven motion that stays visually consistent.

Core Features & Use Cases

  • Python-driven true randomization to vary hero architecture, typography stack, component designs, and GSAP paradigms while remaining deterministic to the prompt.
  • AIDA layout enforcement with navigation, cinematic attention hero, feature bento interest, motion-rich desire sections, and a clean action-oriented footer.
  • GSAP ScrollTrigger engineering including pinning, scrubbing reveals, image scale/fade behavior, and dynamic card stacking for scroll-driven storytelling.
  • Gapless bento grid guarantees using dense grid flow to eliminate empty grid cells and reduce layout artifacts.

Quick Start

Ask the AI to generate a GSAP motion-rich AIDA marketing page using the gpt-taste constraints for hero layout, grid density, and scroll interactions.

Frequently Asked Questions about gpt-taste

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

FAQPage Schema
How do I prevent empty cells in Tailwind grid bento layouts?

Gapless bento grid layouts require dense grid flow execution to eliminate empty cells and reduce layout artifacts. Using mathematically enforced grid density guarantees that feature sections remain visually complete without rendering empty wrappers.

How do I build GSAP ScrollTrigger animations for marketing pages?

GSAP ScrollTrigger animations for marketing pages are built using pinning, scrubbing reveals, image scale/fade behavior, and dynamic card stacking. These motion engineering techniques create scroll-driven storytelling for cinematic hero sections and desire blocks.

Why does AI generated UI look cheap with narrow wrapped headings?

AI generated UI looks cheap due to poor premium spacing, typography, and grid math enforcement. Preventing narrow wrapped headings requires deterministic layout constraints and strict spacing rules applied during the frontend generation process.

What is the AIDA layout structure for frontend landing pages?

The AIDA layout structure for landing pages consists of navigation, cinematic attention hero, feature bento interest, motion-rich desire sections, and an action-oriented footer. This enforces a strict marketing flow from attention to action.

Can I use Python simulated random choices for UI design generation?

Python simulated random choices can generate UI design variations for hero architecture, typography stacks, component designs, and GSAP paradigms. This provides true randomization while remaining deterministic to the original prompt constraints.

Does motion-first frontend design require external dependencies?

Motion-first frontend design using GSAP ScrollTrigger and Tailwind grid operates without external dependencies. It relies entirely on deterministic internal design constraints and strict spacing rules to execute gapless layouts and cinematic animations.