gpt-taste

Generates award-level frontend pages with GSAP animations, bento grids, and AIDA structure.

Updated Sep 14, 2026
One-click install
npx skills add https://github.com/desarrolloainia/nuevo_circuito_mir --skill gpt-taste-desarrolloainia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gpt-taste
Source: https://github.com/desarrolloainia/nuevo_circuito_mir/tree/main/frontend/.agents/skills/gpt-taste
Command: npx skills add https://github.com/desarrolloainia/nuevo_circuito_mir --skill gpt-taste-desarrolloainia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLM-generated frontend code often suffers from repetitive layouts, narrow containers causing 6-line wrapped headings, empty gaps in bento grids, invisible button text, and static interfaces. This Skill enforces strict design engineering rules to produce varied, motion-rich, mathematically correct UI pages. ## Core Features & Use Cases - Deterministic Layout Randomization: Simulates Python RNG selection of hero architectures, typography stacks, components, and GSAP paradigms to prevent repeated designs. - Strict Layout Rules: Enforces AIDA page structure, 2-3 line hero headings via wide containers, gapless bento grids with grid-flow-dense, and massive section spacing. - Advanced GSAP Motion: Implements scroll pinning, scrubbing text reveals, image scale/fade effects, and card stacking with @gsap/react and ScrollTrigger. - Use Case: Ask for a landing page for a SaaS product and receive a complete React/Tailwind page with a cinematic hero, dense bento feature grid, pinned scroll sections, and a pre-flight design plan verifying all constraints. ## Quick Start Use the gpt-taste skill to build a landing page for my product with a cinematic hero, bento grid features, and GSAP scroll animations.

Frequently Asked Questions about gpt-taste

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

FAQPage Schema
How do I generate an award-level landing page with AI?▼

Provide a product or page prompt and the skill outputs a mandatory design plan verifying hero width, bento grid density, and AIDA structure before writing React and Tailwind code. It then produces the full page with GSAP scroll animations and randomized layout choices.

How to prevent LLM-generated bento grids from having empty gaps?▼

Apply Tailwind's grid-flow-dense class and mathematically verify that col-span and row-span values interlock with zero empty cells. The skill requires this density proof in its pre-flight design plan before any UI code is written.

What GSAP animations does this skill implement?▼

It implements ScrollTrigger-based effects including section pinning with split scrolling, image scale and fade on scroll, scrubbing word-by-word text reveals, and dynamic card stacking. Hover physics use group-hover scale transitions inside overflow-hidden containers.

Does this skill work with React and Tailwind CSS?▼

Yes, all output targets React components styled with Tailwind CSS utility classes, using @gsap/react for animations and @phosphor-icons/react for iconography. Images use picsum.photos seed URLs with CSS filters for styling.

Why do AI-generated hero headings wrap into too many lines?▼

LLMs default to narrow containers, forcing headings into 4-6 line wraps. The fix is using ultra-wide containers like max-w-5xl or max-w-6xl with clamp-based font sizing so the H1 flows horizontally within 2-3 lines.

What design elements are banned by this skill?▼

Banned elements include meta-labels like SECTION 01 or QUESTION 05, floating stamp badges on hero text, pill-tags under heroes, raw stats in heroes, the Inter font, emojis in code, and low-contrast invisible button text.