Goal

Establish a robust, stable, and consistent UI Design System by either extracting tokens from an existing source (Harvester mode) or scaffolding a fresh system based on premium Kits (Shadcn, Halo, Lunaris, Nitro). Output a strictly formatted DESIGN.md artifact ready for UI generation.

Instructions

1. Load Design Taste (if .cm/design-taste.json exists): Before proposing tokens, call topTaste(cwd, 'color'), topTaste(cwd, 'font'), topTaste(cwd, 'layout') from src/utils/design-taste.ts. Bias selections toward approved entries; avoid rejected. Decay is 5 %/week so stale taste fades — trust live weights. After the user accepts or rejects a palette, call recordTaste(cwd, { dimension, value, verdict }) so future runs improve.
2. Clarify Intent: Determine if the user wants to extract an existing design from a URL/Image or create a new system from a specific UI Kit.
3. Harvester Extraction (If applicable):

• Analyze the target visual source.
• Extract semantic colors (Primary, Secondary, Success, Warning, Danger), neutral ramps (50-900), typography scales, spacing tokens, and border radii.

1. Pre-built UI Kits (Default Mode):

• If the user wants a beautiful design quickly, DO NOT try to generate tokens manually.
• Instead, copy one of the pre-built design systems from skills/cm-design-system/resources/ into the project's .stitch/DESIGN.md or pass directly to cm-ui-preview:
• shadcn-default.md (Use this as the absolute DEFAULT if no style is specified)
• halo-modern.md (Premium dark mode, glowing accents)
• lunaris-advanced.md (Tech-focused, monospaced fonts)
• nitro-enterprise.md (High-contrast, data-dense enterprise)

1. Pencil.dev & Google Stitch MCP:

• Stitch path: Use DESIGN.md with <!-- STITCH_TOKENS_START --> JSON block to feed design tokens into Google Stitch's AI generator via cm-ui-preview.
• Pencil path: Use the Pencil MCP tools to create and manage .pen design files directly:

Pencil.dev Workflow:

   1. open_document()         → Create/open a .pen file
   2. get_guidelines("web-app") → Load design rules for target platform
   3. get_style_guide_tags()  → Browse available style tags
   4. get_style_guide(tags)   → Get color palette, typography, spacing
   5. set_variables()         → Apply design tokens as .pen variables
   6. batch_get(reusable:true)→ Read existing design system components
   7. batch_design()          → Insert/update components and screens
   8. get_screenshot()        → Verify visual output

Mapping DESIGN.md tokens to .pen variables:

   mcp_pencil_set_variables({
     filePath: "design-system.pen",
     variables: {
       "primary": { "type": "color", "value": "#3B82F6" },
       "secondary": { "type": "color", "value": "#10B981" },
       "surface": { "type": "color", "value": "#FFFFFF" },
       "text-primary": { "type": "color", "value": "#0F172A" },
       "border-radius": { "type": "number", "value": 8 },
       "spacing-sm": { "type": "number", "value": 8 },
       "spacing-md": { "type": "number", "value": 16 },
       "spacing-lg": { "type": "number", "value": 32 }
     }
   })

• For UI component rendering against these tokens, you MUST hand off to cm-ui-preview.
• IMPORTANT: Never use view_file or grep_search on .pen files. Always use mcp_pencil_batch_get.

1. Export Custom `DESIGN.md` (Extraction Mode):

• If extracting from a site visually, create the DESIGN.md document.
• You MUST construct the exact JSON token block wrapped in <!-- STITCH_TOKENS_START --> and <!-- STITCH_TOKENS_END -->.

Examples

Example 1: Extract design from a URL

Input: "Can you extract the design system from stripe.com to use in our project?" Action:

1. Extract semantic colors: Primary (Blurple), surface colors, typography (Inter), rounded corners.
2. Build the DESIGN.md including the Stitch STITCH_TOKENS JSON block with these tokens.
3. Tell the user: "Extraction complete. I've saved the tokens in DESIGN.md. Would you like me to hand this off to cm-ui-preview to generate components?"

Example 2: Scaffold a new robust design system

Input: "Create a modern dark-mode design system using Halo UI kit." Action:

1. Generate a premium deep-dark color palette.
2. Structure the tokens using Halo's spacing and glassmorphic shadow values.
3. Output DESIGN.md with STITCH_TOKENS.
4. Provide standard Tailwind config parameters matching the system.

Example 3: Create a design system in Pencil.dev

Input: "Create a design system for our SaaS dashboard directly in Pencil.dev." Action:

1. Open or create a .pen file: mcp_pencil_open_document({ filePathOrTemplate: "new" }).
2. Load design guidelines: mcp_pencil_get_guidelines({ topic: "design-system" }).
3. Browse and select a style guide: mcp_pencil_get_style_guide_tags() → mcp_pencil_get_style_guide({ tags: ["saas", "dashboard", "modern", "website", "clean"] }).
4. Apply design tokens via mcp_pencil_set_variables() using the style guide's recommendations.
5. Create reusable components (buttons, cards, inputs) via mcp_pencil_batch_design().
6. Verify with mcp_pencil_get_screenshot().
7. Tell the user: "Design system created in design-system.pen. Would you like me to build screens using these components?"

Constraints

• 🚫 DO NOT generate or build React/Vue UI components directly in this skill. Handoff UI generation to cm-ui-preview.
• 🚫 DO NOT skip the <!-- STITCH_TOKENS_START --> wrapper in DESIGN.md. It is critical for Stitch MCP parsing.
• 🚫 DO NOT guess accessibility constraints — ensure text-on-background contrast aligns with WCAG AA (handled via cm-ux-master heuristics).
• 🚫 DO NOT use view_file or grep_search on .pen files. Always use Pencil MCP tools (batch_get, batch_design, etc.).
• ✅ ALWAYS define a complete neutral scale (50-900) even if the source site only uses a few grays.