What is the image-to-code skill?
The image-to-code skill is one SKILL.md in the Leonxlnx/taste-skill repository. It tells an AI coding agent to generate reference images for each section, analyze them in detail, then build the frontend to match. It works from images the agent makes, not from a Figma file.
The image-to-code skill is one of several skills in the taste-skill repository. The repo's README summarizes it as an image-first pipeline: generate site references, analyze them, then implement the frontend to match.
Its SKILL.md is long, with 38 numbered sections. The folder is named image-to-code-skill, while the skill's own name inside the file is image-to-code. Use the folder path when you copy it.
What it changes in your agent's output
- The agent generates design images before it writes any code, when image generation is available in your setup.
- It then studies those images for text, type, spacing, buttons, color, grid, radius and shadows, and writes code from that analysis.
- Implementation is told to copy the references faithfully instead of drifting back to a generic layout.
- Hero areas stay clean: a one to three line headline, and no invented stats, pills or badges.
The three-step order
The skill fixes the order of work. The agent should not skip ahead, and the README tip is to name the pipeline in your prompt so it is followed.
- Generate images first, one large image per section, with no cropping of old images.
- Analyze every image in depth before choosing any markup.
- Implement the frontend to match the references, then run the skill's clarity check.
Who it is for
Best for
- New landing pages with no mockup, where you want a visual target before code.
- Agents that can generate images, so the references come from the same session.
- Teams who want a stricter alternative to pasting one screenshot and hoping for a match.
Not for
- Reading a Figma file. The skill has no Figma input. For that, see Figma MCP or Framelink MCP for Figma.
- Restyling a site that already exists. redesign-existing-projects from the same repo audits and fixes an existing UI.
- Quick bug fixes. The skill says direct code is fine when the task is technical or you already have a design system.
Use it with UiChemy
The skill ends in front-end code, not a WordPress page. If the build came from an AI tool and needs to become editable in WordPress, UiChemy AI to WordPress imports it. If your design lives in Figma, UiChemy Figma to WordPress is the direct route. Click Get Started on uichemy.com.
How to install Image to Code Skill: Generate References, Then Build
git clone https://github.com/Leonxlnx/taste-skillClone the repository
Run
git clone https://github.com/Leonxlnx/taste-skill. This skill sits at skills/image-to-code-skill inside the clone.Copy the skill folder
Copy skills/image-to-code-skill into the skills location your AI coding agent reads. The README does not name agent folders, so check your agent's documentation. It also says you can copy a SKILL.md into your project or paste it into a ChatGPT or Codex conversation.
Name the pipeline in your prompt
The README tip is to state the order outright, for example: follow the skill, generate images, then analyze, then code.
Give it an image-capable setup
The skill depends on image generation being available. Without it, the agent cannot produce the references the rest of the process relies on.
Check that it loaded
Ask for a small landing page with the skill named. The agent should produce section images and describe what it extracted from them before it writes any markup.
Key features
- Image generation firstBefore any code, the agent generates design images. The skill's mandatory order is image generation, then deep analysis, then implementation.
- One image per sectionFor Codex, each section gets its own large image: one section is one image, so an eight-section page means eight images. Old images are not cropped, they are regenerated as fresh section images.
- Deep analysis checklistThe agent studies each image for text, typography, spacing, buttons, colors, grid, radius and shadows, with separate extraction rules for text, type, spacing, components and color.
- Baseline dialsNine dials set the starting point, such as design variance 8, visual density 3, spacing generosity 9 and analysis precision 10. Higher spacing and lower density push the output toward airy layouts.
- Variation engineThe agent picks a theme paradigm, a background character, a typography character, a hero architecture and a section system. It also picks exactly four signature components and two motion cues.
- Hero minimalismThe first view stays clean and readable on a small laptop: a headline of one to three lines, with no pills, fake stats or badges.
- Anti-drift implementationThe build must follow the generated references. The skill lists how to resolve missing details so the agent does not fall back to a generic layout.
- Anti-generic listsSeparate lists name generic patterns in layout, visuals, typography, content and density, along with fake brand names, so the output reads as designed rather than templated.
- Section packsDefault packs of 4, 8 and 12 sections give the agent a structure when the brief does not specify one, plus a multi-image consistency rule.
- Clarity checkA 21-point check at the end tests that the result matches the references, and the response behavior section sets how the agent reports back.
Frequently asked questions
What is the image-to-code skill?
It is a skill in the Leonxlnx/taste-skill repository, made of one SKILL.md. It makes an AI coding agent generate design images for each section, study them in detail and then write a frontend that matches, instead of coding directly from a text brief.
How do I install image-to-code?
Clone github.com/Leonxlnx/taste-skill and copy the skills/image-to-code-skill folder into the skills folder your agent reads. The README does not name agent folders, so check your agent's documentation. It also says you can copy a SKILL.md into a project or paste it into a conversation.
Does it work with Cursor, Codex or Claude Code?
The README says the skills are Agent Skills compatible and mentions Codex, Cursor and Claude Code when it describes handing the generated frames to an agent. It does not publish a per-agent install, so use your agent's own skills folder and name the skill in your prompt.
Does image-to-code read my Figma file?
No. It makes the agent generate its own design images and then code from them. It never opens a design file. To pull real layout and styles from Figma, use Figma MCP or Framelink MCP for Figma, which return design data from the file.
Do I need an image generation tool?
The skill's process starts with image generation and says to do it if image generation is available. If your setup cannot generate images, the first step has nothing to work from, so the skill is a poor fit. A text-brief skill such as frontend-design does not depend on images.
When should I skip this skill?
The skill says direct code is acceptable when the task is technical, a bug fix, or when you already provide a design system. It also costs more steps than a single prompt, so for a small tweak to one component the image pipeline is overkill.
Does it produce a WordPress page?
No. The result is front-end code in your project. UiChemy AI to WordPress imports an existing AI build as an editable page, and UiChemy Figma to WordPress converts Figma frames. Click Get Started on uichemy.com to begin. See also Lovable to Elementor.