imagegen-frontend-web

Generates per-section horizontal website design reference images with consistent art direction.

Updated Aug 9, 2026
One-click install
npx skills add https://github.com/jwinar/carpet_gato --skill imagegen-frontend-web-jwinar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imagegen-frontend-web
Source: https://github.com/jwinar/carpet_gato/tree/main/.claude/skills/taste/imagegen-frontend-web
Command: npx skills add https://github.com/jwinar/carpet_gato --skill imagegen-frontend-web-jwinar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI-generated website design references often collapse into repetitive defaults: one tall image for a whole page, left-text/right-image heroes, purple-blue gradients, and inconsistent styling across sections. This Skill enforces disciplined art direction so every generated image is a usable, codeable frontend design comp. ## Core Features & Use Cases - One image per section: Generates a separate horizontal image for every page section (hero, features, pricing, CTA), never collapsing sections into a single frame. - Combinatorial variation engine: Picks theme paradigm, typography character, hero architecture, composition anchors, background modes, and CTA styles to avoid generic AI-looking layouts. - Brand consistency across frames: Enforces one palette, type scale, CTA family, and image treatment across all per-section images so they read as one site. - Use Case: Ask for a landing page for a premium SaaS product and receive 6-8 labeled horizontal section images (hero, trust bar, features, showcase, testimonials, pricing, CTA) that a developer or coding model can directly implement. ## Quick Start Ask the AI to generate a landing page design for your product, specifying the style mood and number of sections, and receive one horizontal reference image per section.

Frequently Asked Questions about imagegen-frontend-web

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate website design references with AI image generation?▼

Describe the site type, brand mood, and section count, and the skill produces one horizontal image per section. A landing page defaults to 6 sections and 6 images, each labeled and art-directed as a codeable frontend comp.

How many images are generated for a landing page design?▼

One separate horizontal image is generated per section, always. A landing page with no specified count defaults to 6 sections and 6 images; a full website template defaults to 8 sections and 8 images.

Can the generated design images be used by developers to build the site?▼

Yes, each image is created as an implementation-friendly reference showing layout, hierarchy, spacing, typography scale, CTA priority, and component styling. A developer or coding model should be able to reconstruct the design directly from the frames.

How does it avoid generic AI-looking website designs?▼

It uses a combinatorial variation engine that picks distinct theme paradigms, hero architectures, composition anchors, and background modes per section. It explicitly bans purple-blue gradients, floating blobs, cloned card rows, and default left-text/right-image heroes.

Does it keep styling consistent across multiple section images?▼

Yes, all per-section frames share one palette, typography family, CTA family, border radius language, and image treatment. Only composition anchors, background modes, and section density vary between frames.

What styles or briefs does the skill support?▼

It adapts to briefs including minimalist, editorial, cinematic, luxury, SaaS, agency, and e-commerce directions. Each brief type maps to specific hero scales, background modes, gradient usage, and composition biases.