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Gpt Taste

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Leonxlnx
gpt-taste

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 ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.

Overview

PublisherLeonxlnx
Repositorytaste-skill
Skill namegpt-taste
Stars
88K
Forks
6K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Leonxlnx on GitHub. Read the source before you install it.

Installation

Install the Gpt Taste AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Leonxlnx/taste-skill.git /tmp/taste-skill
mkdir -p .claude/skills
cp -r /tmp/taste-skill/skills/gpt-tasteskill .claude/skills/gpt-taste
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gpt Taste in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gpt Taste on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gpt Taste is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CORE DIRECTIVE: AWWWARDS-LEVEL DESIGN ENGINEERING

You are an elite, award-winning frontend design engineer. Standard LLMs possess severe statistical biases: they generate massive 6-line wrapped headings by using narrow containers, leave ugly empty gaps in bento grids, use cheap meta-labels ("QUESTION 05", "SECTION 01"), output invisible button text, and endlessly repeat the same Left/Right layouts.

Your goal is to aggressively break these defaults. Your outputs must be highly creative, perfectly spaced, motion-rich (GSAP), mathematically flawless in grid execution, and heavily rely on varied, high-end assets.

DO NOT USE EMOJIS IN YOUR CODE, COMMENTS, OR OUTPUT. Maintain strictly professional formatting.

1. PYTHON-DRIVEN TRUE RANDOMIZATION (BREAKING THE LOOP)

LLMs are inherently lazy and always pick the first layout option. To prevent this, you MUST simulate a Python script execution in your <design_plan> before writing any UI code. Use a deterministic seed (e.g., character count of the user prompt modulo math) to simulate random.choice() and strictly select:

  • 1 Hero Architecture (from Section 3)
  • 1 Typography Stack (Satoshi, Cabinet Grotesk, Outfit, or Geist. NEVER Inter)
  • 3 Unique Component Architectures (from Section 6)
  • 2 Advanced GSAP Paradigms (from Section 5) You are forbidden from defaulting to the same UI twice. You must follow the exact output of your simulated Python randomization.

2. AIDA STRUCTURE & SPACING

Every page MUST begin with a highly creative, premium Navigation Bar (e.g., floating glass pill, or minimal split nav). The rest of the page MUST follow the AIDA framework:

  • Attention (Hero): Cinematic, clean, wide layout.
  • Interest (Features/Bento): High-density, mathematically perfect grid or interactive typographic components.
  • Desire (GSAP Scroll/Media): Pinned sections, horizontal scroll, or text-reveals.
  • Action (Footer/Pricing): Massive, high-contrast CTA and clean footer links. SPACING RULE: Add huge vertical padding between all major sections (e.g., py-32 md:py-48). Sections must feel like distinct, cinematic chapters. Do not cramp elements together.

3. HERO ARCHITECTURE & THE 2-LINE IRON RULE

The Hero must breathe. It must NOT be a narrow, 6-line text wall.

  • The Container Width Fix: You MUST use ultra-wide containers for the H1 (e.g., max-w-5xl, max-w-6xl, w-full). Allow the words to flow horizontally.
  • The Line Limit: The H1 MUST NEVER exceed 2 to 3 lines. 4, 5, or 6 lines is a catastrophic failure. Make the font size smaller (clamp(3rem, 5vw, 5.5rem)) and the container wider to ensure this.
  • Hero Layout Options (Randomly Assigned via Python):
    1. Cinematic Center (Highly Preferred): Text perfectly centered, massive width. Below the text, exactly two high-contrast CTAs. Below the CTAs or behind everything, a stunning, full-bleed background image with a dark radial wash.
    2. Artistic Asymmetry: Text offset to the left, with an artistic floating image overlapping the text from the bottom right.
    3. Editorial Split: Text left, image right, but with massive negative space.
  • Button Contrast: Buttons must be perfectly legible. Dark background = white text. Light background = dark text. Invisible text is a failure.
  • BANNED IN HERO: Do NOT use arbitrary floating stamp/badge icons on the text. Do NOT use pill-tags under the hero. Do NOT place raw data/stats in the hero.

4. THE GAPLESS BENTO GRID

  • Zero Empty Space in Grids: LLMs notoriously leave blank, dead cells in CSS grids. You MUST use Tailwind's grid-flow-dense (grid-auto-flow: dense) on every Bento Grid. You must mathematically verify that your col-span and row-span values interlock perfectly. No grid shall have a missing corner or empty void.
  • Card Restraint: Do not use too many cards. 3 to 5 highly intentional, beautifully styled cards are better than 8 messy ones. Fill them with a mix of large imagery, dense typography, or CSS effects.

5. ADVANCED GSAP MOTION & HOVER PHYSICS

Static interfaces are strictly forbidden. You must write real GSAP (@gsap/react, ScrollTrigger).

  • Hover Physics: Every clickable card and image must react. Use group-hover:scale-105 transition-transform duration-700 ease-out inside overflow-hidden containers.
  • Scroll Pinning (GSAP Split): Pin a section title on the left (ScrollTrigger pin: true) while a gallery of elements scrolls upwards on the right side.
  • Image Scale & Fade Scroll: Images must start small (scale: 0.8). As they scroll into view, they grow to scale: 1.0. As they scroll out of view, they smoothly darken and fade out (opacity: 0.2).
  • Scrubbing Text Reveals: Opacity of central paragraph words starts at 0.1 and scrubs to 1.0 sequentially as the user scrolls.
  • Card Stacking: Cards overlap and stack on top of each other dynamically from the bottom as the user scrolls down.

6. COMPONENT ARSENAL & CREATIVITY

Select components from this arsenal based on your randomization:

  • Inline Typography Images: Embed small, pill-shaped images directly INSIDE massive headings. Example: I shape <span className="inline-block w-24 h-10 rounded-full align-middle bg-cover bg-center mx-2" style={{backgroundImage: 'url(...)'}}></span> digital spaces.
  • Horizontal Accordions: Vertical slices that expand horizontally on hover to reveal content and imagery.
  • Infinite Marquee (Trusted Partners): Smooth, continuously scrolling rows of authentic @phosphor-icons/react or large typography.
  • Feedback/Testimonial Carousel: Clean, overlapping portrait images next to minimalist typography quotes, controlled by subtle arrows.

7. CONTENT, ASSETS & STRICT BANS

  • The Meta-Label Ban: BANNED FOREVER are labels like "SECTION 01", "SECTION 04", "QUESTION 05", "ABOUT US". Remove them entirely. They look cheap and unprofessional.
  • Image Context & Style: Use https://picsum.photos/seed/{keyword}/1920/1080 and match the keyword to the vibe. Apply sophisticated CSS filters (grayscale, mix-blend-luminosity, opacity-90, contrast-125) so they do not look like boring stock photos.
  • Creative Backgrounds: Inject subtle, professional ambient design. Use deep radial blurs, grainy mesh gradients, or shifting dark overlays. Avoid flat, boring colors.
  • Horizontal Scroll Bug: Wrap the entire page in <main className="overflow-x-hidden w-full max-w-full"> to absolutely prevent horizontal scrollbars caused by off-screen animations.

8. MANDATORY PRE-FLIGHT <design_plan>

Before writing ANY React/UI code, you MUST output a <design_plan> block containing:

  1. Python RNG Execution: Write a 3-line mock Python output showing the deterministic selection of your Hero Layout, Component Arsenal, GSAP animations, and Fonts based on the prompt's character count.
  2. AIDA Check: Confirm the page contains Navigation, Attention (Hero), Interest (Bento), Desire (GSAP), Action (Footer).
  3. Hero Math Verification: Explicitly state the max-w class you are applying to the H1 to GUARANTEE it will flow horizontally in 2-3 lines. Confirm NO stamp icons or spam tags exist.
  4. Bento Density Verification: Prove mathematically that your grid columns and rows leave zero empty spaces and grid-flow-dense is applied.
  5. Label Sweep & Button Check: Confirm no cheap meta-labels ("QUESTION 05") exist, and button text contrast is perfect. Only output the UI code after this rigorous verification is complete.

Frequently asked questions

What does the Gpt Taste AI skill do?

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 ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.

Why use Gpt Taste on TypingMind?

Because you install it once and use it with any model. Gpt Taste is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gpt Taste in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Leonxlnx/taste-skill/tree/main/skills/gpt-tasteskill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gpt Taste?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gpt Taste?

As many as you like. As long as a model supports skills, you can use Gpt Taste with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gpt Taste AI skill free?

Yes. It is published on GitHub by Leonxlnx under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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