Frontend & UI

gpt-taste

Builds award-style landing pages with GSAP scroll motion and gapless bento grids.

What it is

A frontend directive that forces layout variance via simulated random selection of hero, typography, components, and GSAP paradigms. It also enforces AIDA page structure and large section spacing.

Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP Scro
From the upstream SKILL.md

Why it matters for design

  • Hero headlines stay two or three lines because containers widen instead of wrapping into walls.
  • Bento grids use grid-flow-dense, so no cell is left empty or broken.
  • Cheap meta-labels are banned and button text contrast is verified before output.

What it covers

  • Python-driven true randomization
  • AIDA structure and spacing
  • Hero architecture and the 2-line iron rule
  • The gapless bento grid
  • Advanced GSAP motion and hover physics
  • Content, assets and strict bans

How to install

gpt-taste

  1. Clone the repo.

    git clone https://github.com/Leonxlnx/taste-skill
  2. Point Codex at the skill file.

    skills/gpt-tasteskill/SKILL.md
  3. Then describe the UI you want. Codex follows the skill.

How to run it with Codex

  1. Ask for a page; the skill emits a design_plan block before any UI code.

  2. Review its randomization picks: hero layout, font stack, components, GSAP paradigms.

  3. Check the pre-flight items: hero width math, grid density, label sweep, contrast.

Every plugin here is free, open source, and links to its real upstream source.

More on the codex-design list ↗

Next step

Design with Open Design, without the setup

Install this plugin yourself, or run a whole curated design layer around Codex with Open Design. Bring your own key, own your output.