462 lines
14 KiB
Markdown
462 lines
14 KiB
Markdown
---
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name: Fluxwing Screenshot Importer
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description: Import UI screenshots and generate uxscii components automatically using vision analysis. Use when user wants to import, convert, or generate .uxm components from screenshots or images.
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version: 0.0.1
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author: Trabian
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allowed-tools: Read, Write, Task, TodoWrite, Glob
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---
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# Fluxwing Screenshot Importer
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Import UI screenshots and convert them to the **uxscii standard** by orchestrating specialized vision agents.
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## Data Location Rules
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**READ from (bundled templates - reference only):**
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- `{SKILL_ROOT}/../uxscii-component-creator/templates/` - 11 component templates (for reference)
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- `{SKILL_ROOT}/docs/` - Screenshot processing documentation
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**WRITE to (project workspace):**
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- `./fluxwing/components/` - Extracted components (.uxm + .md)
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- `./fluxwing/screens/` - Screen composition (.uxm + .md + .rendered.md)
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**NEVER write to skill directories - they are read-only!**
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## Your Task
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Import a screenshot of a UI design and automatically generate uxscii components and screens by **orchestrating specialized agents**:
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1. **Vision Coordinator Agent** - Spawns 3 parallel vision agents (layout + components + properties)
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2. **Component Generator Agents** - Generate component files in parallel (atomic + composite)
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3. **Screen Scaffolder Skill** - Delegates to fluxwing-screen-scaffolder for screen composition
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**⚠️ ORCHESTRATION RULES:**
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**YOU CAN (as orchestrator):**
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- ✅ Spawn vision analysis agents
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- ✅ Spawn component generator agents
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- ✅ Invoke fluxwing-screen-scaffolder skill
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- ✅ Read screenshots
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- ✅ Validate vision data
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**YOU CANNOT (worker mode - forbidden):**
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- ⚠️ Create screen files yourself using Write/Edit tools
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- ⚠️ Generate .uxm, .md, or .rendered.md files for screens
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- ⚠️ "Help" the scaffolder by pre-creating screen files
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- ⚠️ Use TodoWrite to work through screen creation tasks yourself
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**For screen composition:** ALWAYS delegate to fluxwing-screen-scaffolder skill. It will spawn composer agents that create all screen files (.uxm, .md, .rendered.md).
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## Workflow
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### Phase 1: Get Screenshot Path
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Ask the user for the screenshot path if not provided:
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- "Which screenshot would you like to import?"
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- Validate file exists and is a supported format (PNG, JPG, JPEG, WebP, GIF)
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```typescript
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// Example
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const screenshotPath = "/path/to/screenshot.png";
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```
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### Phase 2: Spawn Vision Coordinator Agent
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**CRITICAL**: Spawn the `screenshot-vision-coordinator` agent to orchestrate parallel vision analysis.
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This agent will:
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- Spawn 3 vision agents in parallel (layout discovery + component detection + visual properties)
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- Wait for all agents to complete
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- Merge results into unified component data structure
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- Return JSON with screen metadata, components array, and composition
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```typescript
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Task({
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subagent_type: "general-purpose",
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description: "Analyze screenshot with vision analysis",
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prompt: `You are a UI screenshot analyzer extracting component structure for uxscii.
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Screenshot path: ${screenshotPath}
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Your task:
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1. Read the screenshot image file
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2. Analyze the UI layout structure (vertical, horizontal, grid, sidebar+main)
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3. Detect all UI components (buttons, inputs, navigation, cards, etc.)
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4. Extract visual properties (colors, spacing, borders, typography)
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5. Identify component hierarchy (atomic vs composite)
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6. Merge all findings into a unified data structure
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7. Return valid JSON output
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CRITICAL detection requirements:
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- Do NOT miss navigation elements (check all edges - top, left, right, bottom)
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- Do NOT miss small elements (icons, badges, close buttons, status indicators)
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- Identify composite components (forms, cards with multiple elements)
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- Note spatial relationships between components
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Expected output format (valid JSON only, no markdown):
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{
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"success": true,
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"screen": {
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"id": "screen-name",
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"type": "dashboard|login|profile|settings",
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"name": "Screen Name",
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"description": "What this screen does",
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"layout": "vertical|horizontal|grid|sidebar-main"
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},
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"components": [
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{
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"id": "component-id",
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"type": "button|input|navigation|etc",
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"name": "Component Name",
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"description": "What it does",
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"visualProperties": {...},
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"isComposite": false
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}
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],
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"composition": {
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"atomicComponents": ["id1", "id2"],
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"compositeComponents": ["id3"],
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"screenComponents": ["screen-id"]
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}
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}
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Use your vision capabilities to analyze the screenshot carefully.`
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})
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```
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**Wait for the vision coordinator to complete and return results.**
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### Phase 3: Validate Vision Data
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Check the returned data structure:
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```typescript
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const visionData = visionCoordinatorResult;
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// Required fields
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if (!visionData.success) {
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throw new Error(`Vision analysis failed: ${visionData.error}`);
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}
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if (!visionData.components || visionData.components.length === 0) {
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throw new Error("No components detected in screenshot");
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}
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// Navigation check (CRITICAL)
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const hasNavigation = visionData.components.some(c =>
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c.type === 'navigation' || c.id.includes('nav') || c.id.includes('header')
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);
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if (visionData.screen.type === 'dashboard' && !hasNavigation) {
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console.warn("⚠️ Dashboard detected but no navigation found - verify all nav elements were detected");
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}
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```
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### Phase 4: Spawn Component Generator Agents (Parallel)
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**CRITICAL**: YOU MUST spawn ALL component generator agents in a SINGLE message with multiple Task tool calls. This is the ONLY way to achieve true parallel execution.
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**DO THIS**: Send ONE message containing ALL Task calls for all components
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**DON'T DO THIS**: Send separate messages for each component (this runs them sequentially)
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For each atomic component, create a Task call in the SAME message:
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```
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Task({
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subagent_type: "general-purpose",
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description: "Generate email-input component",
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prompt: "You are a uxscii component generator. Generate component files from vision data.
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Component data: {id: 'email-input', type: 'input', visualProperties: {...}}
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Your task:
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1. Load schema from {SKILL_ROOT}/../uxscii-component-creator/schemas/uxm-component.schema.json
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2. Load docs from {SKILL_ROOT}/docs/screenshot-import-helpers.md
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3. Generate .uxm file (valid JSON with default state only)
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4. Generate .md file (ASCII template matching visual properties)
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5. Save to ./fluxwing/components/
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6. Return success with file paths
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Follow uxscii standard strictly."
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})
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Task({
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subagent_type: "general-purpose",
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description: "Generate password-input component",
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prompt: "You are a uxscii component generator. Generate component files from vision data.
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Component data: {id: 'password-input', type: 'input', visualProperties: {...}}
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Your task:
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1. Load schema from {SKILL_ROOT}/../uxscii-component-creator/schemas/uxm-component.schema.json
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2. Load docs from {SKILL_ROOT}/docs/screenshot-import-helpers.md
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3. Generate .uxm file (valid JSON with default state only)
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4. Generate .md file (ASCII template matching visual properties)
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5. Save to ./fluxwing/components/
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6. Return success with file paths
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Follow uxscii standard strictly."
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})
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Task({
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subagent_type: "general-purpose",
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description: "Generate submit-button component",
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prompt: "You are a uxscii component generator. Generate component files from vision data.
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Component data: {id: 'submit-button', type: 'button', visualProperties: {...}}
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Your task:
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1. Load schema from {SKILL_ROOT}/../uxscii-component-creator/schemas/uxm-component.schema.json
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2. Load docs from {SKILL_ROOT}/docs/screenshot-import-helpers.md
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3. Generate .uxm file (valid JSON with default state only)
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4. Generate .md file (ASCII template matching visual properties)
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5. Save to ./fluxwing/components/
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6. Return success with file paths
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Follow uxscii standard strictly."
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})
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... repeat for ALL atomic components in the SAME message ...
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... then for composite components in the SAME message:
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Task({
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subagent_type: "general-purpose",
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description: "Generate login-form composite",
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prompt: "You are a uxscii component generator. Generate composite component from vision data.
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Component data: {id: 'login-form', type: 'form', components: [...], visualProperties: {...}}
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IMPORTANT: Include component references in props.components array.
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Your task:
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1. Load schema from {SKILL_ROOT}/../uxscii-component-creator/schemas/uxm-component.schema.json
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2. Generate .uxm with components array in props
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3. Generate .md with {{component:id}} references
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4. Save to ./fluxwing/components/
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5. Return success
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Follow uxscii standard strictly."
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})
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```
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**Remember**: ALL Task calls must be in a SINGLE message for parallel execution!
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### Phase 5: Delegate Screen Composition to Scaffolder
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**CRITICAL**: YOU ARE AN ORCHESTRATOR - delegate screen creation to the screen-scaffolder skill!
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**⚠️ DO NOT create screen files yourself using Write/Edit tools!**
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After all components are created, use the fluxwing-screen-scaffolder to compose screens:
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**Single Screen Import:**
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```typescript
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// Invoke screen-scaffolder skill
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Skill({ command: "fluxwing-skills:fluxwing-screen-scaffolder" })
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// The scaffolder will:
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// 1. See all components already exist (you just created them)
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// 2. Skip component creation (Step 3)
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// 3. Spawn ONE composer agent (Step 4)
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// 4. Composer creates .uxm + .md + .rendered.md
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```
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**Multiple Screenshots Import (N > 1):**
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```typescript
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// After analyzing ALL screenshots and creating ALL components
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// Invoke screen-scaffolder skill ONCE
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Skill({ command: "fluxwing-skills:fluxwing-screen-scaffolder" })
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// Tell it about the screens:
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// "I've imported N screenshots and created X components.
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// Please compose these N screens: [list screen names and component lists]"
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// The scaffolder will:
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// 1. Detect multi-screen scenario (N > 1)
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// 2. Confirm with user
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// 3. Skip component creation (all exist)
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// 4. Spawn N composer agents in parallel (one per screen)
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// 5. Each composer creates 3 files (.uxm, .md, .rendered.md)
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// Result: 3N files created by scaffolder agents
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```
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**What you provide to scaffolder:**
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- Screen name and type (from vision analysis)
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- Component list (what components the screen needs)
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- Layout structure (from vision data)
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- Screenshot path (for .rendered.md generation)
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### Phase 6: Report Results
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Create comprehensive summary:
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```markdown
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# Screenshot Import Complete ✓
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## Screenshot Analysis
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- File: ${screenshotPath}
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- Screen type: ${screenData.type}
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- Layout: ${screenData.layout}
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## Components Generated
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### Atomic Components (${atomicCount})
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${atomicComponents.map(c => `✓ ${c.id} (${c.type})`).join('\n')}
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### Composite Components (${compositeCount})
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${compositeComponents.map(c => `✓ ${c.id} (${c.type})`).join('\n')}
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### Screen
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✓ ${screenId}
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## Files Created
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**Components** (./fluxwing/components/):
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- ${totalComponentFiles} files (.uxm + .md)
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**Screen** (./fluxwing/screens/):
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- ${screenId}.uxm
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- ${screenId}.md
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- ${screenId}.rendered.md
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**Total: ${totalFiles} files created**
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## Performance
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- Vision analysis: Parallel (3 agents) ⚡
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- Component generation: Parallel (${atomicCount + compositeCount} agents) ⚡
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- Total time: ~${estimatedTime}s
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## Next Steps
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1. Review screen: `cat ./fluxwing/screens/${screenId}.rendered.md`
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2. Add interaction states to components
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3. Customize components as needed
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4. View all components
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```
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## Vision Agents Used
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This skill orchestrates 5 specialized vision agents:
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1. **screenshot-vision-coordinator** - Orchestrates parallel analysis
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2. **screenshot-component-detection** - Finds UI elements
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3. **screenshot-layout-discovery** - Understands structure
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4. **screenshot-visual-properties** - Extracts styling
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5. **screenshot-component-generator** - Creates .uxm/.md files
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## Example Interaction
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```
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User: Import this screenshot at /Users/me/Desktop/login.png
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Skill: I'll import the UI screenshot and generate uxscii components!
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[Validates screenshot exists]
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Step 1: Analyzing screenshot with vision agents...
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[Spawns vision coordinator]
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✓ Vision analysis complete:
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- Detected 5 components
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- Screen type: login
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- Layout: vertical-center
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Step 2: Generating component files in parallel...
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[Spawns 5 component generator agents in parallel]
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✓ All components generated!
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# Screenshot Import Complete ✓
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## Components Generated
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✓ email-input (input)
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✓ password-input (input)
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✓ submit-button (button)
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✓ cancel-link (link)
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✓ login-form (form)
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## Files Created
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- 10 component files
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- 3 screen files
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Total: 13 files
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Performance: ~45s (5 agents in parallel) ⚡
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Next steps:
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- Review: cat ./fluxwing/screens/login-screen.rendered.md
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- Add states to make components interactive
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```
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## Quality Standards
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Ensure imported components include:
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- ✓ Valid JSON schema compliance
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- ✓ Complete metadata (name, description, tags)
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- ✓ Proper component types
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- ✓ ASCII art matches detected visual properties
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- ✓ All detected components extracted
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- ✓ Screen composition includes all components
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- ✓ Rendered example with realistic data
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## Important Notes
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- **Parallel execution is critical**: All agents must be spawned in a single message
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- **Navigation elements**: Verify top nav, side nav, footer nav are detected
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- **Small elements**: Don't miss icons, badges, close buttons, status indicators
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- **Composite components**: Forms, cards with multiple elements
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- **Screen files**: Always create 3 files (.uxm, .md, .rendered.md)
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- **Validation**: Check vision data before generating components
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## Error Handling
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**If vision analysis fails:**
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```
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✗ Vision analysis failed: [error message]
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Please check:
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- Screenshot file exists and is readable
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- File format is supported (PNG, JPG, JPEG, WebP, GIF)
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- Screenshot contains visible UI elements
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```
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**If component generation fails:**
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```
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⚠️ Partial success: 3 of 5 components generated
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Successful:
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✓ email-input
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✓ password-input
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✓ submit-button
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Failed:
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✗ cancel-link: [error]
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✗ login-form: [error]
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You can retry failed components or create them manually.
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```
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**If no components detected:**
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```
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✗ No components detected in screenshot.
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This could mean:
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- Screenshot is blank or unclear
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- UI elements are too small to detect
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- Screenshot is not a UI design
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Please try a different screenshot or create components manually.
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```
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## Resources
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See `{SKILL_ROOT}/docs/` for detailed documentation on:
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- screenshot-import-ascii.md - ASCII generation patterns
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- screenshot-import-examples.md - Example imports
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- screenshot-import-helpers.md - Helper functions
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- screenshot-data-merging.md - Data structure merging
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- screenshot-screen-generation.md - Screen file creation
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- screenshot-validation-functions.md - Data validation
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You're helping users rapidly convert visual designs into uxscii components!
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