DesignReady.ai
AI-Readiness Scoring & Prompt Generation for Figma Components
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About this plugin
DesignReady.ai analyzes your Figma designs and generates structured, AI-optimized prompts for code generation with Claude, ChatGPT, or any LLM.This is not a one-click code generator.It is a guidance tool. It scores your Figma components across six dimensions and shows you where your file structure needs work before any AI tool can produce reliable code.How it worksRun a scan on a Figma component. The plugin scores naming, structure, tokens, meta, completeness, and variants. Each dimension is weighted by its impact on code output. Below 75, you see what to fix and why. Above 75, the plugin generates a structured prompt you can hand to any AI code tool.The first scan will likely surface issues. That is the point. Fix what the score highlights, rescan until the score passes 75. Once it does, copy the prompt and hand it to Claude or any LLM. From there, iteration happens in code. Small correction prompts toward Storybook, not back in Figma. The first component might need a few adjustments. By the third or fourth, the model builds consistently.Why Auto Layout mattersAuto Layout is the single most impactful factor for AI code output. Frames without Auto Layout become absolute-positioned elements in code. That means no flex, no responsive behavior, no maintainable layout. If your component uses Auto Layout, the prompt captures exact gap, padding, and direction values. The model builds flexbox from real numbers, not guesses.Why Atomic Design mattersDesignReady classifies your components as atoms, molecules, or organisms based on their nesting structure. This determines build order. A button is an atom. A search bar composed of an input and a button is a molecule. A header containing a nav bar and a search bar is an organism. When you use Batch Mode, the plugin sorts by this hierarchy. Atoms get built first. Molecules compose them. Organisms compose molecules. The model does not have to guess dependencies.What the prompt containsThe generated prompt is not a generic instruction. It captures your component's layout tree with exact auto layout values, maps bound colors to token names, defines the atomic level, and includes a self-check block so the model verifies its own output. If you set up a Design System Profile, token bindings become guardrails. The model uses your variables instead of inventing values.Skill SyncWith a profile active, every prompt includes a skill-sync block. Claude creates a skill file for your design system and updates it with each scan. The skill accumulates knowledge about your layout rules, naming conventions, and component structure.Batch ModeSelect multiple components. The plugin sorts them by atomic hierarchy: atoms first, then molecules, then organisms. One prompt, correct build order. This is how you generate an entire component library in a single session.A real workflowI built the plugin's own design system this way. Tokens in Figma first. Then components pushed from code into Figma. You can use Figma MCP or any code-to-design tool for that. DesignReady scanned them, surfaced issues, generated prompts, and the skill improved with each cycle. The first badge component took 4 attempts. The second component took 2. By the eighth, nearly zero corrections.Who this is forDesigners who work with design systems and want to prepare their Figma files for AI-assisted code generation. You do not need to be a developer. You need a well-structured Figma file. The plugin guides you toward that structure.PrivacyFully offline. No API keys, no accounts, no network calls. Your design data never leaves Figma.
Plugin Details
| Version | 4 |
|---|---|
| Created | March 28, 2026 |
| Last Updated | April 28, 2026 |
| Category | Software development |
| Creator | Stefan H |
| Stats | 74 installs, 12 likes |
| Pricing | Free |
Technical Details
- API:1.0.0
- UI:dist/index.html
- main:dist/code.js
- Document Access:dynamic-page
- Editor Types:figma
- Allowed Domains:
- none
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