What problem does it solve? LLMs produce repetitive, low-quality frontend layouts: narrow containers causing 6-line wrapped headings, gappy bento grids, cheap meta-labels, invisible button text, and static pages without motion. This Skill enforces a rigorous design engineering process that breaks those defaults. ## Core Features & Use Cases - Deterministic Layout Randomization: Simulates Python RNG selection of hero architecture, typography stack, components, and GSAP paradigms so no two pages repeat the same layout. - Strict Structural Rules: Enforces AIDA page flow, 2-3 line hero headings via wide containers, gapless bento grids with grid-flow-dense, and banned meta-labels. - Advanced GSAP Motion: Requires real ScrollTrigger implementations including pinning, scrubbing text reveals, card stacking, and image scale/fade scroll effects. - 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 mandatory pre-flight design plan verifying spacing and grid math. ## Quick Start Ask the AI to build a landing page for your product and it will output a design plan followed by the full animated UI code.
