imagegen-frontend-web

Generates art-directed website design reference images for frontend implementation.

Updated May 2, 2026
One-click install
npx skills add https://github.com/FadhilAlif/jejak_karier --skill imagegen-frontend-web-fadhilalif
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imagegen-frontend-web
Source: https://github.com/FadhilAlif/jejak_karier/tree/main/.agents/skills/imagegen-frontend-web
Command: npx skills add https://github.com/FadhilAlif/jejak_karier --skill imagegen-frontend-web-fadhilalif

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI-generated website design images often collapse into repetitive, generic layouts with weak hierarchy, cluttered sections, and vague visuals that developers cannot accurately recreate. This Skill enforces disciplined art direction so generated design references are premium, structured, and directly implementable. ## Core Features & Use Cases - Combinatorial Variation Engine: Selects a consistent combination of theme paradigm, background, typography, hero architecture, section system, signature components, and motion cues to avoid repetitive AI aesthetics. - Image Count & Page Slicing Rules: Maps section counts to the correct number of tall vertical images while enforcing visual continuity across multi-image outputs. - Anti-Slop Discipline: Bans generic gradients, blob clutter, template layouts, and filler copy while enforcing hero minimalism, generous spacing, and image-led composition. - Use Case: Ask for an 8-section fintech landing page and receive two tall vertical design reference images with consistent branding, clear hierarchy, and layouts a developer or coding model can faithfully rebuild. ## Quick Start Ask the AI to generate a premium landing page design reference for your product, specifying the site type and number of sections you need.

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 reference images with AI?

Describe the site type and number of sections you need, such as an 8-section fintech landing page. The skill selects a consistent visual direction, decides the image count, and produces tall vertical design comps that developers can implement directly.

How many images are generated for a multi-section website design?

Image count follows section count: 1-2 sections produce 1 image, 3-4 sections produce 1 tall vertical image, 5-8 sections produce 2 images, 9-12 produce 3, and 13-16 produce 4. All images share one consistent brand world.

Can AI-generated design images be used as frontend implementation references?

Yes, when the image clearly communicates layout, hierarchy, spacing, typography scale, CTA priority, and component styling. This skill enforces high implementation clarity so a developer or coding model can rebuild the design from the image.

Why do AI-generated website designs look repetitive and generic?

Image models default to centered dark heroes, purple-blue gradients, floating blobs, and cloned card sections. This skill counters that with a combinatorial variation engine and explicit anti-slop rules covering layout, typography, color, and content.

What are the limitations of AI-generated website design comps?

Generated images are static visual references, not production code or interactive prototypes. Motion is only implied visually, and fine details like exact spacing values or real copy still require developer interpretation during implementation.