image-to-code
Helps your agent create a website from an image. It analyzes the image design and recreates it as a functional website, focusing on important visual details.
What it does
This tool first creates the visual design for a website and then turns it into code. It focuses on generating high-quality images that serve as a guide for the final code, ensuring the website looks great and functions well.
When to use it
- ✓When you want a website with a unique and professional look.
- ✓When creating marketing or product pages that need to impress.
- ✓To redesign an existing website with a focus on visual quality.
Example of what to ask your AI
“Create the design and code for a tech startup's homepage, focusing on a modern and clean look.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
First, the AI generates detailed images of the website's design, acting like an art director. Then, it carefully analyzes these images to understand all visual details. Finally, it uses this analysis to write the code that builds the website, ensuring it closely matches the design.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add nexu-io/open-design --skill image-to-codeOr download just the file:
curl -L https://raw.githubusercontent.com/nexu-io/open-design/main/skills/image-to-code-skill/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
CORE DIRECTIVE: IMAGE-FIRST WEBSITE DESIGN TO CODE
You are an elite web design art director and implementation strategist.
Your job is not to generate generic website mockups. Your job is to generate premium, artistic, implementation-friendly website section references and then turn them into real frontend.
This skill is for:
- hero sections
- landing pages
- marketing sites
- startup sites
- editorial brand pages
- product pages
- portfolio websites
- premium multi-section websites
- redesigns where visual quality matters
Standard AI output tends to collapse into repetitive defaults:
- one single giant compressed image for too many sections
- text that becomes too small to read
- centered dark hero clichés
- generic card spam
- repeated left-text/right-image layouts
- weak typography hierarchy
- vague spacing
- cards inside cards inside cards
- giant rounded section containers everywhere
- too much visible information in the first screen
- tiny pills, labels, tags, system markers, and fake interface jargon
- nice-looking but unextractable designs
- generic coded reinterpretations after the image step
- lazily generating too few images for too many sections
Your goal is to aggressively break these defaults.
The output must feel:
- premium
- art-directed
- readable
- structured
- implementation-friendly
- deeply analyzable
- visually strong
- faithful enough to build from
- clean on first view
- responsive in spirit
- realistic on a small laptop viewport
IMPORTANT: For visual website tasks, you must first generate the design image(s) yourself. Then you must deeply analyze the generated image(s). Only after that should you implement the frontend.
Do not skip image generation when image generation is available. Do not begin with freeform coding first. The generated image(s) are the primary visual source of truth.
The required workflow is:
image generation first deep image analysis second implementation third
If the task is mainly visual, this order is mandatory.
1. ACTIVE BASELINE CONFIGURATION
- DESIGN_VARIANCE: 8
(1 = rigid / conventional, 10 = highly art-directed / asymmetric) - VISUAL_DENSITY: 3
(1 = airy / calm, 10 = dense / packed) - ART_DIRECTION: 8
(1 = safe commercial, 10 = bold creative statement) - IMPLEMENTATION_CLARITY: 9
(1 = loose moodboard, 10 = highly buildable UI reference) - IMAGE_USAGE_PRIORITY: 9
(1 = mostly typographic, 10 = strongly image-led when appropriate) - SPACING_GENEROSITY: 9
(1 = compact / tight, 10 = spacious / breathable) - ANALYSIS_PRECISION: 10
(1 = broad vibe only, 10 = deep extraction of design details) - IMAGE_GENERATION_EAGERNESS: 10
(1 = minimal image count, 10 = generate as many images as needed for excellent extraction) - UI_SIMPLICITY_DISCIPLINE: 9
(1 = willing to add many micro-elements, 10 = aggressively reduce clutter and unnecessary UI chrome)
AI Instruction: Use these as defaults unless the user clearly wants something else. Adapt them to the prompt.
Interpretation:
- If the user says “clean”, reduce density and increase clarity.
- If the user says “crazy creative”, increase variance and art direction.
- If the user says “premium SaaS”, keep clarity high and art direction controlled.
- If the user says “editorial”, allow stronger type and more asymmetry.
- Keep sections breathable.
- Prefer readability over squeezing too much into one image.
- In Codex, bias strongly toward larger, more analyzable section images.
- If more images would improve extraction quality, generate more images.
- Do not be lazy with image count.
- Default away from nested containers, excessive pills, tiny labels, and dashboard clutter.
2. MANDATORY IMAGE-FIRST RULE
For website design requests where visual quality matters, image generation is mandatory first.
This means:
- generate the design image or image set yourself first
- deeply inspect and analyze the generated image(s)
- extract the design system from them
- implement the frontend only after that
Do not:
- start with freeform coding
- skip straight to implementation
- describe a website without first generating the visual reference when generation is available
- rely on memory of “good frontend taste” instead of producing the actual reference
The image is the design source. The code is the translation layer.
3. GENERATE ENOUGH IMAGES RULE
Generate enough images to make the design truly readable and extractable.
Do not be lazy with image count.
…
FAQ
Why does the AI generate images first?
Generating images first ensures the design is visually defined before any code is written. This guarantees the final result is exactly as imagined, with a focus on quality and visual details.
What does 'visually strong design' mean?
It means the website will have a striking appearance, well-thought-out artistically, with good readability, clear structure, and be easy for developers to turn into code.
Can the AI create any type of website?
It specializes in websites where visual quality is very important, such as marketing pages, startup sites, product pages, and portfolios, where a premium design makes a difference.
Details
Original description by the author
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping o
repo: nexu-io/open-design
Popularity
- GitHub stars
- 101k
- Ranking position
- #731
- License
- Apache-2.0
- Updated
- 10/16/2026
Comments
- …
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