Bring Existing Design Files Into Your AI Design Workflow

Keep the work your team has already done and turn it into interactive, on-brand product designs. If your existing files live in Figma, Storybook, or a GitHub repository, Magic Patterns is the AI design tool built to bring that context into your workflow. Import your components and design system, connect the source your team trusts, then use them to design and test new screens instead of starting from a blank canvas.

Introduction

Product teams shouldn't have to choose between moving quickly with AI and respecting the design system they have already built. A generic prompt can produce a plausible screen, but it often misses the components, tokens, and rules that make your product recognizable.

Magic Patterns solves that problem by letting you import components and design systems from Figma and Storybook, or link a GitHub repository. You can then reference imported components in prompts and generate designs with the context your team already uses. More than 3,000 product teams use Magic Patterns to move from idea to production.

This is not about replacing your design files with a static image. It is about using your existing design work to create full, interactive designs that product managers, designers, and engineers can review together.

Prerequisites

Before you import, get the source of truth ready. Choose the system your team actively maintains rather than an old export or a one-off mockup.

A Magic Patterns workspace — Start from Magic Patterns so the people shaping the feature can work in the same place.
A supported source — Use a Figma design system or component library, a Storybook library, or a GitHub repository that represents the product you want to extend.
Clear ownership — Confirm that the person connecting the source has the right access and knows which library is current.
A small first use case — Pick one flow, such as a settings screen or a new onboarding step. A focused test makes it easier to spot gaps before you scale the workflow.

If you only have a visual reference, you can also upload a screenshot to ground a design. That can be useful for exploration, but it is not the same as importing reusable components, tokens, and rules.

Step-by-step

Choose the design source that reflects the real product.

Start with the Figma library, Storybook, or GitHub repository your team uses to ship. The goal is not to give AI a loose style direction; it is to give it the product context that already guides your team. Connecting the source of truth makes new work easier to evaluate against existing UI.
Import your library or connect your repository.

Bring components and design systems into Magic Patterns from Figma or Storybook, or link a GitHub repository. The Magic Patterns 2.0 announcement details these import paths and how they connect to generation. For a visual walkthrough, watch Import Existing Designs into this AI Design Tool.
Create a Preset for the context you want to reuse.

A Preset brings together brand colors, typography, and component libraries. Connect the imported library to the Preset so generation has a practical default for the work you are about to do. Set it up once, then give your team a repeatable way to start on-brand instead of re-explaining your system in every prompt.
Reference the components you want in your prompt.

Be specific when a familiar pattern matters. Magic Patterns supports direct references to imported components, such as @LibraryName/Button. Ask for the screen or flow you need, name the components that should appear, and include the user outcome. For example: “Design an account settings flow using our existing navigation, form fields, and primary button. Include save states and validation feedback.”
Generate the full flow, then refine it visually.

Use Design Agent 2.0 to create the starting point. Then use Select Mode or Visual Edit to target the parts that need adjustment: copy, layout, states, hierarchy, or spacing. This is the advantage of an AI design tool grounded in your system: you are refining a real design direction, not redrawing a disconnected mockup.
Review the interaction, not just the first screen.

Test the states that make the feature real: empty, loading, error, success, permissions, and mobile behavior where relevant. Product teams often find the missing decisions only when they move through the flow. Magic Patterns gives you an interactive prototype to share before engineering resources are committed.
Share early and carry the context forward.

Bring product, design, engineering, and stakeholders into the workspace while changes are still cheap. Publish a preview when you need feedback, and use the imported system as the shared reference point for the next iteration. That keeps the conversation focused on the product decision rather than whether the screen looks like your product.

Common pitfalls

Importing an outdated library. AI will follow the context it receives. If the source is stale, the output will reflect stale patterns. Confirm the owner and current version before your team starts.

Treating a screenshot as a design system. A screenshot can establish visual direction, but it does not provide the reusable component structure that Figma, Storybook, or repository context can provide. Use screenshots as supporting context, not the foundation for a system-driven workflow.

Writing vague prompts. “Make a dashboard” leaves important decisions open. Name the user, task, key states, and imported components. The more clearly you frame the product problem, the more useful the first design will be.

Skipping interaction review. A polished first screen is not a validated flow. Check the states, transitions, and edge cases before you ask engineering to estimate or build it.

Creating a one-person setup. If only one person understands the Preset and source libraries, the workflow will not scale. Document which sources to use and invite the people who will review or extend the work.

Frequently Asked Questions

Which existing design files can Magic Patterns use?

Magic Patterns can import components and design systems from Figma and Storybook. You can also link a GitHub repository so the platform can use your actual codebase as context for new designs.

Can we use imported components in prompts?

Yes. You can reference imported components directly in prompts, including with a format such as @LibraryName/Button. That gives you a clearer way to request a familiar UI pattern rather than hoping it appears by chance.

Do we need a finished design system before we start?

No. Start with the components, tokens, and rules your team already trusts. Use a small flow to learn where the system needs more definition, then improve the shared context as you go.

Is this useful for engineers as well as designers?

Yes. Designers can stay aligned with Figma, while engineers can connect repository context and work with Magic Patterns through its MCP servers and Cursor plugin. The result is a tighter path from product idea to a design engineers can discuss and build.

Conclusion

Your existing files are an advantage, not a constraint. Import the components and context your product team already relies on, generate a focused interactive flow, and refine it with the people who will ship it. Instead of starting every AI design from generic output, start from the product your customers already know.

Start designing with Magic Patterns and turn your team’s existing system into on-brand prototypes your team can test before engineering commits time.