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skills/image-gen/workflows/diagram.md
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skills/image-gen/workflows/diagram.md
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# Diagram Workflow
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Create technical diagrams, flowcharts, architecture diagrams, and process visualizations.
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## When to Use
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- System architecture documentation
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- Process flows and workflows
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- Technical explanations
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- Decision trees
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- Network topologies
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- Component relationships
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## 6-Step Process
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### Step 1: Extract Narrative
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**Goal:** Understand the system or process being illustrated.
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Questions to answer:
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- What system/process is being shown?
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- What are the key components?
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- What are the relationships between components?
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- What is the flow direction (if any)?
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- What level of detail is needed?
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**Output:** Component list and relationship description.
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### Step 2: Derive Visual Concept
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**Goal:** Choose the right diagram type.
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**Diagram types:**
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| Type | Use When |
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|------|----------|
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| Flowchart | Sequential processes with decisions |
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| Architecture | System components and connections |
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| Sequence | Time-ordered interactions |
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| Network | Interconnected nodes |
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| Hierarchy | Parent-child relationships |
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| Venn | Overlapping categories |
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**Output:** Diagram type and layout direction.
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### Step 3: Apply Aesthetic
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**Goal:** Define visual style for clarity.
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Recommended for diagrams:
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- **Colors:** Limited palette (3-5 colors max)
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- **Style:** Flat, clean, no gradients
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- **Lines:** Consistent weight, clear arrows
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- **Shapes:** Simple geometric (rectangles, circles)
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- **Labels:** Sans-serif, high contrast
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**Color coding conventions:**
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- Blue: Primary components
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- Green: Success/positive flow
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- Red: Error/warning
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- Orange: External systems
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- Gray: Supporting elements
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**Output:** Color scheme and style notes.
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### Step 4: Construct Prompt
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**Goal:** Build the generation prompt.
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**Template:**
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```
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Create a [diagram type] showing [system/process].
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Components:
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- [Component 1]: [description]
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- [Component 2]: [description]
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- [Component 3]: [description]
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Relationships:
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- [Component 1] connects to [Component 2] via [connection type]
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- [Component 2] sends data to [Component 3]
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Layout: [direction - left-to-right, top-to-bottom, etc.]
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Style: [aesthetic from Step 3]
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Labels to include:
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- [Label 1]
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- [Label 2]
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```
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**Output:** Complete prompt.
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### Step 5: Generate
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**Command:**
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```bash
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uv run scripts/generate.py "[prompt]" output.png [aspect_ratio] 2K
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```
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**Aspect ratio by diagram type:**
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- Flowcharts: 3:2 or 16:9 (horizontal flow)
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- Architecture: 4:3 or 1:1 (balanced)
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- Sequence: 2:3 (vertical flow)
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- Network: 1:1 (balanced)
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**Settings:**
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- Size: **2K minimum** for label clarity
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- Model: gemini-3-pro-image-preview
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### Step 6: Validate
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**Validation criteria:**
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| Criterion | Check |
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|-----------|-------|
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| Completeness | All components present |
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| Accuracy | Relationships correctly shown |
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| Readability | All labels legible |
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| Flow clarity | Direction is obvious |
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| Consistency | Shapes/colors used consistently |
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| Simplicity | No unnecessary elements |
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**If validation fails:**
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- Identify missing or incorrect elements
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- Adjust prompt
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- Regenerate (max 3 iterations)
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## Example Workflow
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**Request:** Create a diagram showing a CI/CD pipeline.
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### Step 1: Extract Narrative
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"CI/CD pipeline with: code commit, build, test, deploy to staging, deploy to production. Shows automated flow with manual approval gates."
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Components:
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- Git repository
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- Build server
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- Test suite
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- Staging environment
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- Production environment
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- Approval gates
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### Step 2: Visual Concept
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Flowchart, left-to-right horizontal flow. Linear pipeline with branching for approval.
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### Step 3: Aesthetic
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- Blue: Pipeline stages
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- Green: Success indicators
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- Orange: Approval gates
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- Gray: Arrows/connectors
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- Style: Flat rectangles with rounded corners, clear directional arrows
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### Step 4: Prompt
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```
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Create a flowchart showing a CI/CD pipeline.
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Components:
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- Git Repository: Code source
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- Build Server: Compiles code
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- Test Suite: Runs automated tests
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- Staging: Pre-production environment
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- Production: Live environment
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- Approval Gate: Manual review step
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Flow:
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- Git Repository -> Build Server -> Test Suite -> Staging -> Approval Gate -> Production
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Layout: Horizontal left-to-right flow
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Style: Flat design with rounded rectangles. Blue for pipeline stages, green checkmarks for success, orange for approval gate, gray arrows between stages.
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Labels: "Code", "Build", "Test", "Stage", "Approve", "Deploy"
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```
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### Step 5: Generate
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```bash
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uv run scripts/generate.py "Create a flowchart showing a CI/CD pipeline..." cicd.png 16:9 2K
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```
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### Step 6: Validate
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- All 6 stages present
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- Flow direction clear
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- Labels readable
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- Approval gate distinguished
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## Tips for Better Results
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1. **Keep it simple** - Fewer components = clearer diagram
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2. **Be explicit about connections** - State what connects to what
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3. **Specify layout direction** - Avoid ambiguous layouts
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4. **Use consistent terminology** - Same names throughout prompt
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5. **Include all labels** - List exact text for each component
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## Common Issues
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| Issue | Solution |
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|-------|----------|
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| Missing components | List every component explicitly |
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| Unclear flow | State direction and connections |
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| Overlapping elements | Reduce components or use larger aspect ratio |
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| Inconsistent styling | Be more explicit about shapes/colors |
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| Wrong diagram type | Reconsider which type fits best |
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## Alternative: Mermaid Diagrams
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For simple diagrams, consider generating Mermaid code instead:
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- More precise control
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- Version-controllable
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- Easily editable
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Use image generation for:
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- Visual appeal matters
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- Marketing/presentation use
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- Complex custom styling
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176
skills/image-gen/workflows/infographic.md
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176
skills/image-gen/workflows/infographic.md
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# Infographic Workflow
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Create data visualizations, explainers, and statistical infographics using the 6-step editorial process.
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## When to Use
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- Explaining concepts or processes
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- Visualizing data or statistics
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- Creating how-to guides
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- Summarizing reports or research
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- Making comparisons
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## 6-Step Process
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### Step 1: Extract Narrative
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**Goal:** Understand the complete story being told.
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Questions to answer:
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- What is the main concept or data being explained?
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- What is the key insight or takeaway?
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- Who is the target audience?
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- What action should viewers take?
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**Output:** 2-3 sentence summary of the narrative.
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### Step 2: Derive Visual Concept
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**Goal:** Translate narrative into a single visual metaphor.
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Guidelines:
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- Choose 2-3 physical objects that represent the concept
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- Prefer familiar, universal metaphors
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- Avoid abstract shapes without meaning
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- Consider spatial relationships (hierarchy, flow, comparison)
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**Examples:**
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- Data growth → Plant/tree growing
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- Security → Shield/lock
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- Process → Pipeline/conveyor belt
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- Comparison → Balance scale
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**Output:** Visual metaphor description.
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### Step 3: Apply Aesthetic
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**Goal:** Define the visual style.
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Recommended for infographics:
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- **Colors:** Muted palette with 1-2 accent colors
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- **Style:** Flat design, clean lines
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- **Typography:** Sans-serif, clear hierarchy
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- **Layout:** Clear sections, visual flow
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- **Icons:** Simple, consistent style
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**Output:** Style description (2-3 sentences).
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### Step 4: Construct Prompt
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**Goal:** Build the generation prompt.
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**Template:**
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```
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Create an infographic explaining [topic].
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Visual concept: [metaphor from Step 2]
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Key elements:
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- [Main data point or concept]
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- [Supporting element 1]
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- [Supporting element 2]
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Style: [aesthetic from Step 3]
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Layout: [horizontal/vertical], [sections description]
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Text to include:
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- Title: "[title]"
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- Key stat: "[number or fact]"
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- [Other text elements]
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```
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**Output:** Complete prompt.
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### Step 5: Generate
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**Command:**
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```bash
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uv run scripts/generate.py "[prompt]" output.png 16:9 2K
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```
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**Settings for infographics:**
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- Aspect ratio: **16:9** (landscape) - best for infographics
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- Size: **2K minimum** - ensures text readability
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- Model: gemini-3-pro-image-preview (Nano Banana Pro)
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### Step 6: Validate
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**Validation criteria:**
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| Criterion | Check |
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|-----------|-------|
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| Text legibility | All text is readable at 100% zoom |
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| Data accuracy | Numbers/facts are displayed correctly |
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| Visual hierarchy | Eye naturally flows through content |
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| Color contrast | Sufficient contrast for accessibility |
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| Completeness | All key elements are present |
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| Brand alignment | Matches intended style |
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**If validation fails:**
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- Identify specific issues
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- Modify prompt to address them
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- Regenerate
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- Maximum 3 iterations
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## Example Workflow
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**Request:** Create an infographic about how neural networks learn.
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### Step 1: Extract Narrative
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"Neural networks learn by adjusting connection weights through forward propagation and backpropagation. Key insight: the process is iterative and improves over time. Audience: Technical beginners."
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### Step 2: Visual Concept
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"A network of interconnected nodes with signals flowing through, showing adjustment dials on connections. Like a city's road network with traffic lights being adjusted."
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### Step 3: Aesthetic
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"Flat design with dark blue background, bright connection lines in cyan and orange. Minimal, clean style with clear node shapes."
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### Step 4: Prompt
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```
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Create an infographic explaining how neural networks learn.
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Visual concept: Network of connected nodes with adjustment dials on connections, signals flowing through like traffic.
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Key elements:
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- Input layer with data entering
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- Hidden layers with connection weights
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- Output layer with result
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- Feedback loop showing backpropagation
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Style: Dark blue background, cyan and orange accents, flat design, clean minimalist style.
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Layout: Horizontal flow from left (input) to right (output), with backpropagation arrow below.
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Text to include:
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- Title: "How Neural Networks Learn"
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- Labels: "Input", "Hidden Layers", "Output", "Backpropagation"
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```
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### Step 5: Generate
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```bash
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uv run scripts/generate.py "Create an infographic explaining how neural networks learn..." neural_network.png 16:9 2K
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```
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### Step 6: Validate
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- Text readable
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- Flow is clear left-to-right
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- Colors have good contrast
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- All labels present
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## Tips for Better Results
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1. **Simple prompts often work best** - "Infographic explaining X" can produce excellent results
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2. **Model understands context** - It will add relevant icons/imagery automatically
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3. **Be specific about text** - Include exact wording for titles and labels
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4. **Iterate with conversation** - Ask for specific changes after initial generation
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5. **Use reference images** - For style consistency across multiple infographics
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## Common Issues
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| Issue | Solution |
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|-------|----------|
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| Text too small | Increase size to 4K or reduce text amount |
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| Cluttered layout | Simplify to fewer elements |
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| Wrong style | Be more explicit about aesthetic |
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| Missing elements | List all required elements explicitly |
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Reference in New Issue
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