What problem does it solve? LLMs tend to produce repetitive, poorly spaced frontend layouts with narrow containers, multi-line wrapped headings, empty grid cells, and static interfaces. This Skill enforces strict design rules to generate varied, motion-rich, award-level React UI code. ## Core Features & Use Cases - Deterministic Layout Randomization: Simulates Python random selection of hero architectures, typography stacks, components, and GSAP paradigms to prevent repeated layouts. - Strict Structural Rules: Enforces AIDA page structure, 2-3 line hero headings with wide containers, gapless bento grids using grid-flow-dense, and large section spacing. - Advanced GSAP Motion: Implements scroll pinning, scrubbing text reveals, card stacking, and image scale/fade effects 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 high-contrast CTA footer. ## Quick Start Use the gpt-taste skill to build a landing page for my photography portfolio with GSAP scroll animations.