How to Convert a Design to Code with Claude Code

Turning a screenshot, Figma frame, or existing site into clean code by hand is slow and lossy; the reliable shortcut is a skill that extracts the design system first, then rebuilds from it. The top pick is extract-design-system with 124,640 installs (skills.sh registry). This guide shows the design-to-code workflow with Claude Code. Start from the design-to-code hub.

Key takeaways

• extract-design-system leads design-to-code at 124,640 installs (skills.sh registry) - it pulls tokens, spacing, and type scale out of an existing design before any component is written.
• Extracting the system first beats copying pixels: it produces reusable tokens, not one-off styles, which is why the skill is the most-installed in this niche.
• For Figma specifically, the Figma MCP design-to-code workflow pairs a live Figma connection with the extraction step.
• Rebuild on a component system: shadcn has 219,787 installs and 116,941 stars (skills.sh registry, GitHub) so extracted tokens map onto owned components.
• Compare the field on the design & UI/UX category and the best skills for frontend design pillar.

Why extract a design system instead of copying the pixels?

Extracting a design system captures the reusable rules - color tokens, spacing scale, type ramp - instead of freezing one screen into hard-coded values. Pixel-copying produces brittle, un-themeable output; token extraction produces a system you can restyle and extend. The most-installed skill here, extract-design-system (124,640 installs, skills.sh registry), is built entirely around this token-first approach.

What is the best skill to convert a design to code with Claude Code?

The best design-to-code skill is extract-design-system with 124,640 installs (skills.sh registry), because it derives a reusable token system from your source design before generating any markup. Install it with:

/plugin marketplace add arvindrk/extract-design-system

For a Figma source specifically, follow the Figma MCP design-to-code workflow, which streams live frame data into the same extraction step. Then rebuild against a component system from the shadcn hub.

How do you rebuild the design on a real component library?

You map the extracted tokens onto an owned-component system so the rebuild is maintainable, not a static clone. shadcn (219,787 installs, 116,941 stars - skills.sh registry, GitHub) is the dominant choice because it copies components into your repo, so the extracted tokens become your theme rather than a locked dependency. Feed the extraction output straight into it.

How do you keep the rebuilt UI accessible?

You run a design-standards pass after the rebuild so the converted UI meets interface and accessibility rules. Vercel Labs' web-design-guidelines (437,829 installs, skills.sh registry) checks the generated markup against 100+ rules, catching the contrast and focus issues that pixel-faithful conversions often carry over. Make it the final step of the workflow.

A complete starter stack

• extract-design-system (124,640 installs) - token and system extraction
• Figma source? the Figma MCP workflow - live design data
• shadcn (219,787 installs) - owned components to rebuild on
• web-design-guidelines by Vercel Labs (437,829 installs) - accessibility and interface review

Common pitfalls

• Copying pixel values instead of extracting tokens, leaving an un-themeable clone.
• Rebuilding on a locked component dependency instead of an owned system.
• Skipping the standards pass, so accessibility gaps carry over from the original.

Extract the system first, rebuild on owned components, then review - start from the design-to-code hub and the conversion stays maintainable.

Common questions