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# Design System Automation — Part 2: Component Generation
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## Session Context
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**Prerequisite**: Part 1 (Token Extraction + Analysis) is COMPLETE at v3.2
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- Phases 1-3 DONE: Normalizer, Stage 2 agents, Export all working
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- 113 tests passing, W3C DTCG v1 compliant output
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- GitHub: https://github.com/hiriazmo/design-system-automation
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- Project: `/Users/yahya/design-system-automation/`
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**This session**: Build automated component generation from extracted tokens into Figma.
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---
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## THE GAP: Nobody Does This
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Exhaustive research of 30+ tools (Feb 2026) confirms:
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**No production tool takes DTCG JSON and outputs Figma Components.**
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```
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YOUR EXTRACTOR THE GAP FIGMA
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+--------------+ +----------------------------+ +------------------+
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| DTCG JSON |--->| ??? Nothing does this |--->| Button component |
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| with tokens | | tokens -> components | | with 60 variants |
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+--------------+ +----------------------------+ +------------------+
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```
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### What Exists (and What It Can't Do)
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| Category | Best Tool | What It Does | Creates Components? |
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|----------|-----------|-------------|-------------------|
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| Token Importers | Tokens Studio (1M+ installs) | JSON -> Figma Variables | NO - variables only |
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| AI Design | Figma Make | Prompt -> prototype | NO - not token-driven |
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| MCP Bridges | Figma Console MCP (543 stars) | AI writes to Figma | YES but non-deterministic |
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| Code-to-Figma | story.to.design | Storybook -> Figma components | YES but needs full Storybook |
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| Generators | Figr Identity | Brand config -> components | YES but can't consume YOUR tokens |
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| Commercial | Knapsack ($10M), Supernova | Token management | NO - manages, doesn't create |
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| DEAD | Specify.app (shutting down), Backlight.dev (shut down June 2025) | - | - |
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### Key Findings Per Category
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**Token Importers** (7+ tools evaluated): Tokens Studio, TokensBrucke, Styleframe, DTCG Token Manager, GitFig, Supa Design Tokens, Design System Automator — ALL create Figma Variables from JSON, NONE create components.
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**MCP Bridges** (5 tools): Figma Console MCP (Southleft), claude-talk-to-figma-mcp, cursor-talk-to-figma-mcp (Grab), figma-mcp-write-server, Figma-MCP-Write-Bridge — ALL have full write access, but component creation is AI-interpreted (non-deterministic, varies per run).
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**Code-to-Figma**: story.to.design is the standout — creates REAL Figma components with proper variants from Storybook. But requires a full coded component library + running Storybook instance as intermediary.
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**figma-json2component** (GitHub): Experimental proof-of-concept that generates components from custom JSON schema. Not DTCG, not production quality, but validates the concept IS possible.
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---
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## FOUR APPROACHES — RANKED
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### Option A: Custom Figma Plugin (RECOMMENDED)
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```
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DTCG JSON -> Your Plugin reads JSON -> Creates Variables -> Generates Components -> Done
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```
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- **Effort**: 4-8 weeks (~1400 lines of plugin code for 5 MVP components)
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- **Quality**: Highest — fully deterministic, consistent every run
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- **Advantage**: We already have a working plugin (code.js) that imports tokens
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- **Risk**: Low — Figma Plugin API supports everything needed
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### Option B: Pipeline — shadcn + Storybook + story.to.design
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```
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DTCG JSON -> Style Dictionary -> CSS vars -> shadcn themed -> Storybook -> story.to.design -> Figma
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```
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- **Effort**: 2-3 days setup, then 15-30 min per extraction
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- **Quality**: High — battle-tested shadcn components
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- **Dependency**: story.to.design (commercial, paid)
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- **Risk**: Medium — many moving parts
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### Option C: MCP + Claude AI Chain
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```
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DTCG JSON -> Claude reads tokens -> Figma Console MCP -> AI creates components -> Figma
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```
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- **Effort**: 2-3 weeks
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- **Quality**: Medium — non-deterministic
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- **Risk**: High — AI output varies per run
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### Option D: Figr Identity + Manual Token Swap
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```
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Figr Identity generates base system -> Manually swap tokens -> Adjust
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```
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- **Effort**: 1-2 days
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- **Quality**: Medium — not YOUR tokens
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- **Risk**: Medium — manual alignment needed
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**Decision: Option A (Custom Plugin)** — we already have 80% of the infrastructure, it's deterministic, no external dependencies, and fills a genuine market gap.
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---
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## FIGMA PLUGIN API: FULL CAPABILITY CHECK
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Every feature needed for component generation is supported:
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| Requirement | API Method | Status |
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|------------|-----------|--------|
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| Create components | `figma.createComponent()` | Supported |
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| Variant sets (60 variants) | `figma.combineAsVariants()` | Supported |
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| Auto-layout with padding | `layoutMode`, `paddingTop/Right/Bottom/Left`, `itemSpacing` | Supported |
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| Text labels | `figma.createText()` + `loadFontAsync()` | Supported |
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| Icon slot (optional) | `addComponentProperty("ShowIcon", "BOOLEAN", true)` | Supported |
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| Instance swap (icons) | `addComponentProperty("Icon", "INSTANCE_SWAP", id)` | Supported |
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| Border radius from tokens | `setBoundVariable('topLeftRadius', radiusVar)` | Supported |
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| Colors from tokens | `setBoundVariableForPaint()` -> binds to variables | Supported |
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| Shadows from tokens | `setBoundVariableForEffect()` | Supported (has spread bug, workaround exists) |
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| Hover/press interactions | `node.setReactionsAsync()` with `ON_HOVER`/`ON_PRESS` | Supported |
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| Expose text property | `addComponentProperty("Label", "TEXT", "Button")` | Supported |
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| Disabled opacity | `node.opacity = 0.5` | Supported |
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---
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## MVP SCOPE: 5 Components, 62 Variants
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| Component | Variants | Automatable? | Effort |
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|-----------|---------|-------------|--------|
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| **Button** | 4 variants x 3 sizes x 5 states = 60 | Fully | 2-3 days |
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| **Text Input** | 4 states x 2 sizes = 8 | Fully | 1-2 days |
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| **Card** | 2 configurations | Semi | 1 day |
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| **Toast/Notification** | 4 types (success/error/warn/info) | Fully | 1 day |
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| **Checkbox + Radio** | ~12 variants | Fully | 1-2 days |
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| **Total** | **~86 variants** | | **8-12 days** |
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### Post-MVP Components
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| Component | Variants | Automatable? | Effort |
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|-----------|---------|-------------|--------|
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| Toggle/Switch | on/off x enabled/disabled = 4 | Fully | 0.5 day |
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| Select/Dropdown | Multiple states | Semi | 1-2 days |
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| Modal/Dialog | 3 sizes | Semi | 1 day |
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| Table | Header + data rows | Template-based | 2 days |
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---
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## TOKEN-TO-COMPONENT MAPPING
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How extracted tokens bind to component properties:
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### Button Example
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```
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Token -> Figma Property
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-------------------------------------------------
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color.brand.primary -> Fill (default state)
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color.brand.600 -> Fill (hover state)
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color.brand.700 -> Fill (pressed state)
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color.text.inverse -> Text color
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color.neutral.200 -> Fill (secondary variant)
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color.neutral.300 -> Fill (secondary hover)
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radius.md -> Corner radius (all corners)
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shadow.sm -> Drop shadow (elevated variant)
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spacing.3 -> Padding horizontal (16px)
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spacing.2 -> Padding vertical (8px)
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font.body.md -> Text style (label)
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```
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### Variable Collections Needed
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```
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1. Primitives -> Raw color palette (blue.50 through blue.900, etc.)
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2. Semantic -> Role-based aliases (brand.primary -> blue.500)
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3. Spacing -> 4px grid (spacing.1=4, spacing.2=8, spacing.3=12...)
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4. Radius -> none/sm/md/lg/xl/full
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5. Shadow -> xs/sm/md/lg/xl elevation levels
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6. Typography -> Font families, sizes, weights, line-heights
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```
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---
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## COMPONENT DEFINITION SCHEMA (Proposed)
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Each component needs a JSON definition describing its anatomy, token bindings, and variant matrix:
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```json
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{
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"component": "Button",
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"anatomy": {
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"root": {
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"type": "frame",
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"layout": "horizontal",
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"padding": { "h": "spacing.3", "v": "spacing.2" },
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"radius": "radius.md",
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"fill": "color.brand.primary",
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"gap": "spacing.2"
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},
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"icon_slot": {
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"type": "instance_swap",
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"size": 16,
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"visible": false,
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"property": "ShowIcon"
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},
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"label": {
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"type": "text",
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"style": "font.body.md",
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"color": "color.text.inverse",
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"content": "Button",
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"property": "Label"
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}
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},
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"variants": {
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"Variant": ["Primary", "Secondary", "Outline", "Ghost"],
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"Size": ["Small", "Medium", "Large"],
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"State": ["Default", "Hover", "Pressed", "Focused", "Disabled"]
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},
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"variant_overrides": {
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"Variant=Secondary": {
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"root.fill": "color.neutral.200",
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"label.color": "color.text.primary"
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},
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"Variant=Outline": {
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"root.fill": "transparent",
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"root.stroke": "color.border.primary",
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"root.strokeWeight": 1,
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"label.color": "color.brand.primary"
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},
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"Variant=Ghost": {
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"root.fill": "transparent",
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"label.color": "color.brand.primary"
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},
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"State=Hover": {
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"root.fill": "color.brand.600"
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},
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"State=Pressed": {
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"root.fill": "color.brand.700"
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},
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"State=Disabled": {
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"root.opacity": 0.5
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},
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"Size=Small": {
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"root.padding.h": "spacing.2",
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"root.padding.v": "spacing.1",
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"label.style": "font.body.sm"
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},
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"Size=Large": {
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"root.padding.h": "spacing.4",
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"root.padding.v": "spacing.3",
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"label.style": "font.body.lg"
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}
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}
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}
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```
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### Component Generation Pattern (Plugin Code)
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Every component follows the same pipeline:
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```
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1. Read tokens from DTCG JSON
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2. Create Variable Collections (if not exist)
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3. For each variant combination:
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a. Create frame with auto-layout
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b. Add child nodes (icon slot, label, etc.)
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c. Apply token bindings via setBoundVariable()
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d. Apply variant-specific overrides
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4. combineAsVariants() -> component set
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5. Add component properties (Label text, ShowIcon boolean)
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```
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---
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## ARCHITECTURE FOR PLUGIN EXTENSION
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Current plugin (`code.js`) already does:
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- Parse DTCG JSON (isDTCGFormat detection)
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- Create paint styles from colors
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- Create text styles from typography
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- Create effect styles from shadows
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- Create variable collections
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What needs to be ADDED:
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```
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code.js (existing ~1200 lines)
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+-- componentGenerator.js (NEW ~1400 lines)
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| |-- generateButton() ~250 lines
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| |-- generateTextInput() ~200 lines
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| |-- generateCard() ~150 lines
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| |-- generateToast() ~150 lines
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| |-- generateCheckbox() ~200 lines
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| |-- generateRadio() ~150 lines
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| +-- shared utilities ~300 lines
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| |-- createAutoLayoutFrame()
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| |-- bindTokenToVariable()
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| |-- buildVariantMatrix()
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| |-- resolveTokenValue()
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+-- componentDefinitions.json (NEW ~500 lines)
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|-- Button definition
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|-- TextInput definition
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|-- Card definition
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|-- Toast definition
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+-- Checkbox/Radio definition
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```
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### Implementation Order
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```
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Week 1-2: Infrastructure
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- Variable collection builder (primitives, semantic, spacing, radius, shadow)
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- Token resolver (DTCG path -> Figma variable reference)
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- Auto-layout frame builder with token bindings
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- Variant matrix generator
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Week 3-4: MVP Components
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- Button (60 variants) — most complex, validates the full pipeline
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- TextInput (8 variants) — validates form patterns
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- Toast (4 variants) — validates feedback patterns
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Week 5-6: Remaining MVP + Polish
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- Card (2 configs) — validates layout composition
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- Checkbox + Radio (12 variants) — validates toggle patterns
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- Error handling, edge cases, testing
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Week 7-8: Post-MVP (if time)
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- Toggle/Switch, Select, Modal
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- Documentation
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```
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---
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## EXISTING FILES TO KNOW ABOUT
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| File | Purpose | Lines |
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|------|---------|-------|
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| `app.py` | Main Gradio app, token extraction orchestration | ~5000 |
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| `agents/llm_agents.py` | AURORA, ATLAS, SENTINEL, NEXUS LLM agents | ~1200 |
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| `agents/normalizer.py` | Token normalization (colors, radius, shadows) | ~950 |
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| `core/color_classifier.py` | Rule-based color classification (PRIMARY authority) | ~815 |
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| `core/color_utils.py` | Color math (hex/RGB/HSL, contrast, ramps) | ~400 |
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| `core/rule_engine.py` | Type scale, WCAG, spacing grid analysis | ~1100 |
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| `output_json/figma-plugin-extracted/figma-design-token-creator 5/src/code.js` | **Figma plugin — EXTEND THIS** | ~1200 |
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| `output_json/figma-plugin-extracted/figma-design-token-creator 5/src/ui.html` | Plugin UI | ~500 |
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### DTCG Output Format (What the Plugin Receives)
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```json
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{
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"color": {
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"brand": {
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"primary": {
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"$type": "color",
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"$value": "#005aa3",
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"$description": "[classifier] brand: primary_action",
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"$extensions": {
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"com.design-system-automation": {
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"frequency": 47,
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"confidence": "high",
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"category": "brand",
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"evidence": ["background-color on <a>", "background-color on <button>"]
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}
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}
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}
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}
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},
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"radius": {
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"md": { "$type": "dimension", "$value": "8px" },
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"lg": { "$type": "dimension", "$value": "16px" },
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"full": { "$type": "dimension", "$value": "9999px" }
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},
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"shadow": {
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"sm": {
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"$type": "shadow",
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"$value": {
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"offsetX": "0px",
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"offsetY": "2px",
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"blur": "8px",
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"spread": "0px",
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"color": "#00000026"
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}
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}
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},
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| 369 |
-
"typography": {
|
| 370 |
-
"body": {
|
| 371 |
-
"md": {
|
| 372 |
-
"$type": "typography",
|
| 373 |
-
"$value": {
|
| 374 |
-
"fontFamily": "Inter",
|
| 375 |
-
"fontSize": "16px",
|
| 376 |
-
"fontWeight": 400,
|
| 377 |
-
"lineHeight": 1.5,
|
| 378 |
-
"letterSpacing": "0px"
|
| 379 |
-
}
|
| 380 |
-
}
|
| 381 |
-
}
|
| 382 |
-
},
|
| 383 |
-
"spacing": {
|
| 384 |
-
"1": { "$type": "dimension", "$value": "4px" },
|
| 385 |
-
"2": { "$type": "dimension", "$value": "8px" },
|
| 386 |
-
"3": { "$type": "dimension", "$value": "16px" }
|
| 387 |
-
}
|
| 388 |
-
}
|
| 389 |
-
```
|
| 390 |
-
|
| 391 |
-
---
|
| 392 |
-
|
| 393 |
-
## COMPETITIVE ADVANTAGE
|
| 394 |
-
|
| 395 |
-
Building this fills a genuine market gap:
|
| 396 |
-
- **Tokens Studio** (1M+ installs) = token management, no component generation
|
| 397 |
-
- **Figr Identity** = generates components but from brand config, not YOUR tokens
|
| 398 |
-
- **story.to.design** = needs full Storybook pipeline as intermediary
|
| 399 |
-
- **MCP bridges** = non-deterministic AI interpretation
|
| 400 |
-
- **Us** = DTCG JSON in, deterministic Figma components out. Nobody else does this.
|
| 401 |
-
|
| 402 |
-
### Strategic Position
|
| 403 |
-
```
|
| 404 |
-
[Extract from website] -> [Analyze & Score] -> [Generate Components in Figma]
|
| 405 |
-
Part 1 (DONE) Part 1 (DONE) Part 2 (THIS)
|
| 406 |
-
```
|
| 407 |
-
|
| 408 |
-
We become the only tool that goes from URL to complete Figma design system with components — fully automated.
|
| 409 |
-
|
| 410 |
-
---
|
| 411 |
-
|
| 412 |
-
## OPEN QUESTIONS FOR THIS SESSION
|
| 413 |
-
|
| 414 |
-
1. Should component definitions live in JSON (data-driven) or be hardcoded in JS (simpler)?
|
| 415 |
-
2. Should we generate all 60 Button variants at once, or let user pick which variants?
|
| 416 |
-
3. How to handle missing tokens? (e.g., site has no shadow tokens — skip shadow on buttons or use defaults?)
|
| 417 |
-
4. Should we support dark mode variants from the start, or add later?
|
| 418 |
-
5. Icon system — use a bundled icon set (Lucide?) or just placeholder frames?
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