What problem does it solve? LLM-generated frontend code tends to produce repetitive layouts, narrow containers that wrap headings into 6-line walls, gappy bento grids, invisible button text, and static pages without motion. This Skill enforces a rigorous design engineering process that eliminates these default failure patterns. ## Core Features & Use Cases - Deterministic Layout Randomization: Simulates Python-based seeded randomization to select hero architectures, typography stacks (Satoshi, Cabinet Grotesk, Outfit, Geist), and component patterns, preventing repeated layouts. - Strict Structural Rules: Enforces AIDA page structure, 2-3 line H1 limits via wide containers, gapless bento grids with grid-flow-dense, and bans cheap meta-labels like "SECTION 01". - Advanced GSAP Motion: Implements ScrollTrigger pinning, scrubbing text reveals, card stacking, and image scale/fade scroll effects with hover physics on interactive elements. - 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 spacing and grid math. ## Quick Start Ask the AI to build a landing page for your product and it will output a verified design plan followed by the full animated UI code.
