image-to-code

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

3|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/langgenius/due-date-hq-jwl --skill image-to-code-langgenius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-to-code
Source: https://github.com/langgenius/due-date-hq-jwl/tree/main/.claude/skills/image-to-code
Command: npx skills add https://github.com/langgenius/due-date-hq-jwl --skill image-to-code-langgenius

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Visual website builds often drift into generic, cluttered layouts when coded directly without a concrete design reference. This Skill enforces an image-first workflow so the generated design images act as the visual source of truth before any frontend code is written. ## Core Features & Use Cases - Image-First Workflow: Generates section-specific design images first, deeply analyzes typography, spacing, colors, and components, then implements the frontend to match. - Section-by-Section Generation: Produces one large readable image per section plus optional detail images, avoiding unreadable compressed multi-section boards. - Anti-Generic Design Rules: Applies a combinatorial variation engine and anti-slop rules to avoid nested-card clutter, hero overcrowding, and repetitive AI-looking layouts. - Use Case: Ask for a premium 8-section SaaS landing page; the Skill generates 8 section images, extracts the design system from them, and builds a faithful responsive 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 them for typography, spacing, colors, buttons, and layout before writing code. The generated images serve as the visual source of truth, and the implementation should preserve the design language rather than drift into generic templates.

What is the image-first workflow for building landing pages?

The workflow is image generation first, deep image analysis second, and implementation third. For each requested section you generate a dedicated readable image, extract the design system from it, and only then write the frontend code to match.

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

Generate one large image per section so text, buttons, and spacing stay readable and analyzable. If a section lacks detail, generate an additional closer extraction image or regenerate it as a fresh standalone image rather than cropping from a larger board.

Why does coded output often look different from the design reference?

Design drift happens when implementation simplifies distinctive sections into generic templates or compresses generous spacing. Prevent it by preserving layout logic, typography mood, color palette, and component family exactly as extracted from the reference images.

When is it acceptable to skip image generation and code directly?

Direct coding is acceptable when the task is mostly technical, such as a bug fix, when the user provides a precise design system, or when the work is structural rather than visual. For visually driven requests, image generation should come first whenever it is available.