gpt-taste

Generate GSAP-powered landing pages with AIDA structure and dense bento grids.

1|Updated May 10, 2026
One-click install
npx skills add https://github.com/Avihusitton/gil-therapy --skill gpt-taste-avihusitton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-taste
Source: https://github.com/Avihusitton/gil-therapy/tree/main/.agents/skills/gpt-taste
Command: npx skills add https://github.com/Avihusitton/gil-therapy --skill gpt-taste-avihusitton

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the common failures of LLM-generated frontend: narrow 6-line hero headings, empty bento grid cells, cheap meta labels like "SECTION 01", repetitive left-right layouts, and invisible button text, all of which result in generic, unpolished web pages that fail to meet award-level design standards.

Core Features & Use Cases

  • Strict AIDA Structure Enforcement: Guarantees cinematic spacing, wide hero typography, high-density bento grids, pinned GSAP scroll sections, and high-contrast CTAs for conversion-focused pages.
  • Advanced GSAP Integration: Implements scroll pinning, scrubbing text reveals, card stacking, and hover physics to create motion-rich, immersive user experiences.
  • Deterministic Layout Randomization: Uses seeded Python-style randomization to avoid LLM layout bias, ensuring unique, creative output every time instead of defaulting to the same generic templates.
  • Use Case: Ideal for building high-end marketing landing pages, creative portfolio sites, or Awwwards submission projects that require polished, motion-forward frontend with flawless grid execution.

Quick Start

Use the gpt-taste skill to build an Awwwards-level landing page for a boutique fitness brand with cinematic GSAP scroll animations and a gapless bento feature grid.

Frequently Asked Questions about gpt-taste

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

FAQPage Schema
How do I stop LLMs from generating generic landing pages with repetitive layouts?

To stop LLMs from generating generic landing pages, enforce deterministic layout randomization and strict AIDA structure. This prevents repetitive left-right layouts and narrow hero headings by using seeded randomization to ensure unique, creative frontend output every time.

How do I build gapless bento grids that don't have empty cells in frontend code?

To build gapless bento grids without empty cells, apply CSS grid-flow-dense to pack cells perfectly. This approach eliminates the common LLM failure of leaving empty bento grid cells, ensuring mathematically perfect, high-density grid layouts for motion-rich web pages.

What's the best way to create Awwwards-level GSAP scroll animations for a portfolio site?

The best way to create Awwwards-level GSAP scroll animations is to implement advanced paradigms like scroll pinning, scrubbing text reveals, and card stacking. This produces motion-rich, immersive user experiences tailored for high-end brand frontends and creative portfolio sites.

Does this approach work for building high-end marketing landing pages with cinematic spacing?

Yes, this approach works for high-end marketing landing pages by enforcing strict AIDA structure. It guarantees cinematic spacing, wide hero typography limited to 2-3 lines, pinned GSAP scroll sections, and high-contrast CTAs optimized for conversion-focused pages.

Why do AI-generated web pages often fail to meet award-level design standards?

AI-generated web pages fail award-level design standards due to narrow hero headings, cheap meta labels like SECTION 01, invisible button text, and empty bento grids. These generic defaults result in unpolished pages lacking advanced motion design and flawless grid execution.

Can I use hover physics and scroll scrubbing together in GSAP frontend development?

Yes, you can use hover physics and scroll scrubbing together in GSAP frontend development. Combining these advanced GSAP paradigms creates interactive, motion-forward user experiences with pinned sections and dynamic text reveals suitable for award submission projects.