Generate cinematic UI design plans with GSAP motion and randomized layouts.
npx skills add https://github.com/coldter/kuldeep.tech --skill gpt-taste-coldter
Please help me install this Agent Skill. Skill: gpt-taste Source: https://github.com/coldter/kuldeep.tech/tree/main/.agents/skills/gpt-taste Command: npx skills add https://github.com/coldter/kuldeep.tech --skill gpt-taste-coldter
Elite front-end teams often struggle with generic, flat interfaces that fail to captivate users. This Skill enforces AWWWARDS-level design engineering, true randomness in layout decisions, and advanced GSAP motion to break common design defaults.
Output a design_plan block following the protocol before implementing any UI code.
High-intent search queries and answers about installing and using this skill.
To generate cinematic UI layouts, you must first output a design_plan block to enforce strict hero, grid, and GSAP animation specifications before implementing any front-end code. This ensures deterministic layout variation and AIDA-structured pages.
Building gapless Bento grids requires applying dense layouts with interlocking grid spans to break conventional grids. This approach uses Python-driven true randomization to select components and ensures zero horizontal clamping with generous vertical spacing.
Yes, this front-end design approach explicitly supports AIDA-structured pages by enforcing strict content controls that eliminate meta-labels, ambients, and spam elements. It also ensures accessible contrast across wide typographic systems.
Python-driven true randomization selects hero layouts, typography, components, and advanced GSAP motion patterns like pinning, scroll scrubbing, and parallax. This mechanism breaks common design defaults to achieve AWWWARDS-level design engineering.
Advanced GSAP motion patterns for rich UX include pinning, scroll scrubbing, parallax, and overlaps. These are applied alongside a component arsenal featuring inline typography images, horizontal accordions, and marquees to captivate users.
Front-end design planning fails to break conventional grids when it lacks true randomness in layout decisions and strict design constraints. Enforcing deterministic variation and advanced GSAP motion solves generic, flat interfaces that fail to captivate users.
juricamigac-from-hrDetermine per-sequence authoring decisions between default content and block-based layouts.
PolliticalSolutionsGenerate React UI designs with GSAP ScrollTrigger motion and bento grids.
MicrockImplement scroll-driven animations with GSAP ScrollTrigger for pinning and scrubbing.
billydeeii136Generate frontend design layouts with Python-driven randomization and AIDA structure.
