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.