image-to-code

Generates website section design images, analyzes them, and implements matching frontend code.

Updated May 9, 2026
One-click install
npx skills add https://github.com/Aeonxuu/southtownslandservice_v2 --skill image-to-code-aeonxuu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image-to-code
Source: https://github.com/Aeonxuu/southtownslandservice_v2/tree/main/.agents/skills/image-to-code
Command: npx skills add https://github.com/Aeonxuu/southtownslandservice_v2 --skill image-to-code-aeonxuu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Visually important website builds often drift into generic, cluttered frontend code because the design intent is never captured as a concrete reference. This Skill enforces an image-first workflow so the generated design images become the source of truth before any code is written. ## Core Features & Use Cases - Image-First Workflow: Generates one large, readable reference image per website section, then deeply analyzes typography, spacing, colors, buttons, and layout before implementing code. - Extraction-Oriented Regeneration: Creates fresh standalone detail images instead of cropping old ones when text or components are too small to analyze. - Anti-Drift Implementation: Translates the analyzed design into frontend code that preserves layout logic, spacing rhythm, and visual identity while avoiding nested-box clutter and generic AI patterns. - Use Case: Ask for a premium 8-section SaaS landing page and receive eight section-specific design images, a structured design analysis, and a faithful coded implementation. ## Quick Start Use the image-to-code skill to design and build a premium landing page with a hero, features, testimonials, and pricing section.

Frequently Asked Questions about image-to-code

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

FAQPage Schema
How do I convert a website design image into frontend code?▼

Generate section-specific design images first, then deeply analyze each image for text, typography, spacing, colors, buttons, and layout structure. Implement the frontend only after this analysis, preserving the design language instead of drifting into generic templates.

How many images should I generate for a multi-section website?▼

Generate one large image per section so text, spacing, and components stay readable and analyzable. For complex sections, add extra detail images focused on typography, cards, or buttons rather than compressing everything into one board.

Should I crop sections out of a full-page design image?▼

No, cropping destroys spacing accuracy, type scale relationships, and layout proportions. Generate a fresh standalone image for that section using the same palette, typography mood, and component family, optimized for readability and extraction.

When is image generation not required before coding?▼

Direct-code first is acceptable when the task is mostly technical, such as a bug fix, when the user already provides a precise design system, or when the work is structural rather than visual. Visual quality tasks should always start with image generation.

Why does coded output often look generic compared to the design image?▼

Design drift happens when implementation simplifies distinctive sections into default templates or compresses generous spacing. Prevent it by extracting exact text, type scale, spacing rhythm, and color logic from the images and following them closely during coding.