What problem does it solve? LLM-generated frontend code tends to repeat the same narrow layouts, produce headings that wrap into 5-6 lines, leave empty cells in bento grids, and use cheap meta-labels. This Skill enforces a rigorous design engineering process that breaks those defaults and produces varied, motion-rich, editorial-quality landing pages. ## Core Features & Use Cases - Deterministic Layout Randomization: Simulates a Python RNG seeded by prompt length to select hero architectures, typography stacks, components, and GSAP paradigms, preventing repetitive outputs. - Strict Structural 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: 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 pre-flight design plan verifying all constraints. ## 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 React code.
