gpt-taste▌
Leonxlnx/taste-skill · updated May 28, 2026
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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.
| name | gpt-taste |
| description | 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. |
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):
- 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.
- Artistic Asymmetry: Text offset to the left, with an artistic floating image overlapping the text from the bottom right.
- 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 yourcol-spanandrow-spanvalues 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-outinsideoverflow-hiddencontainers. - 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 toscale: 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/reactor 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}/1920/1080and 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:
- 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.
- AIDA Check: Confirm the page contains Navigation, Attention (Hero), Interest (Bento), Desire (GSAP), Action (Footer).
- Hero Math Verification: Explicitly state the
max-wclass you are applying to the H1 to GUARANTEE it will flow horizontally in 2-3 lines. Confirm NO stamp icons or spam tags exist. - Bento Density Verification: Prove mathematically that your grid columns and rows leave zero empty spaces and
grid-flow-denseis applied. - 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.
How to use gpt-taste on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add gpt-taste
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches gpt-taste from GitHub repository Leonxlnx/taste-skill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate gpt-taste. Access the skill through slash commands (e.g., /gpt-taste) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★26 reviews- ★★★★★Chaitanya Patil· Dec 16, 2024
Keeps context tight: gpt-taste is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kwame Patel· Dec 16, 2024
gpt-taste is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Piyush G· Nov 7, 2024
Registry listing for gpt-taste matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kwame Desai· Nov 7, 2024
gpt-taste reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Oct 26, 2024
gpt-taste reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hiroshi Martin· Oct 26, 2024
Registry listing for gpt-taste matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Rahul Santra· Sep 9, 2024
We added gpt-taste from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noor Martin· Sep 1, 2024
I recommend gpt-taste for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Pratham Ware· Aug 28, 2024
gpt-taste fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Lucas Bansal· Aug 20, 2024
Useful defaults in gpt-taste — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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