Add design-explore skill — image mockups with optional DESIGN.md tokens
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skills/design-explore/SKILL.md
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skills/design-explore/SKILL.md
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---
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name: design-explore
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description: Generate UI design mockups as images for exploration and ideation. Use when the user wants to visualize a design concept before building. Supports optional DESIGN.md from awesome-design-md for design-token-accurate mockups.
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---
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# /design-explore
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Generate visual design mockups. You ask the user what they want to design, optionally pull design tokens from a DESIGN.md file, and call the image-maker sub-agent to produce polished images.
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## Flow
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### Step 1: Gather requirements
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Ask the user two questions:
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1. **"What are we designing?"** — Free text description of the interface, page, or component.
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2. **"What style? Pick from awesome-design-md or describe it."** — The user can either:
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- Provide a full URL: `https://getdesign.md/apple/design-md` or from `https://github.com/VoltAgent/awesome-design-md`
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- Describe the style in words: "dark glass morphism, purple accent, rounded corners"
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- If they provide a URL, download it and extract the design tokens
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### Step 2: If DESIGN.md URL provided, extract tokens
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Download the DESIGN.md file:
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```bash
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curl -sL <DESIGN_MD_URL> -o /tmp/design-tokens.md
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```
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Read the file and extract these tokens from the YAML/Markdown:
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- **Palette/Colors** — background, primary, accent, text, surface
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- **Typography** — font family, heading font, sizes, weights
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- **Spacing** — base unit, section padding
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- **Border Radius** — button, card, input values
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- **Shadows** — elevation levels
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- **Identity/Language** — any prose describing the visual language
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If the file is YAML, parse it with `python3 -c "import yaml; ..."`. If it's Markdown, read the relevant sections.
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### Step 3: Build the image prompt
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Combine the user's design description with the extracted tokens into a detailed prompt:
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```
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Design prompt for {what}: {user's description}
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Design system tokens to follow exactly:
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- Color palette: {extracted palette}
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- Typography: {extracted fonts}
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- Border radius: {extracted radius values}
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- Spacing: {extracted spacing}
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- Visual identity: {extracted identity description}
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Style requirements:
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- Professional, high-fidelity UI mockup
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- Show the interface in context (browser frame or device mockup)
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- Clean, modern presentation
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- Use the exact colors and fonts specified
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```
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If NO DESIGN.md, use only the user's description with general style guidance.
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### Step 4: Call image-maker
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Launch the image-maker sub-agent with the prompt:
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```bash
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Agent(
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subagent_type: "image-maker",
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description: "Generate design mockups",
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prompt: <the full image prompt from step 3>,
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max_turns: 3
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)
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```
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The image-maker will generate images via OpenRouter's image models.
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### Step 5: Show images inline
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When images are generated:
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1. Save them to `/tmp/design-explore-<N>.png`
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2. Use the `read` tool to display them — images appear inline in the pi conversation
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3. Present them to the user: "Here are 3 design concepts. Which direction do you like?"
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### Step 6: Iterate
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The user can:
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- Pick a direction: "Go with #2 but change the accent to teal"
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- Refine: generate updated images with the feedback
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- Move on: "I like this. Let's build it with design-build"
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---
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## DESIGN.md File Format
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DESIGN.md files typically look like:
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```yaml
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---
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palette:
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background: "#FFFFFF"
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primary: "#007AFF"
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accent: "#FF9500"
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text: "#1D1D1F"
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typography:
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heading: "SF Pro Display"
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body: "SF Pro Text"
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sizes:
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h1: "48px"
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h2: "32px"
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body: "17px"
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spacing:
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unit: "8px"
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section: "80px"
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radius:
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button: "12px"
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card: "16px"
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input: "8px"
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shadows:
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card: "0 2px 8px rgba(0,0,0,0.08)"
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elevated: "0 8px 24px rgba(0,0,0,0.12)"
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identity: Clean, minimal, generous white space, Apple-like clarity
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---
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```
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But the exact format varies — always read the file contents to know the structure.
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---
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## Resources
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- **awesome-design-md**: https://github.com/VoltAgent/awesome-design-md (55+ design systems)
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- **getdesign.md**: https://getdesign.md/ (hosted DESIGN.md files)
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- **image-maker agent**: Uses OpenRouter's gpt-5-image-mini (~4¢/image)
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