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image_generation skill

/.agent/skills/image_generation

This skill creates photorealistic product renders and marketing visuals using AI, delivering ready-to-use assets for campaigns, presentations, and social media.

npx playbooks add skill cleanexpo/ato --skill image_generation

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: image-generation
description: Creates visual assets using AI image generation models (Imagen 3, DALL-E). Supports product renders, marketing imagery, infographics, and creative visuals for content and presentation workflows.
---

# Image Generation Skill

AI-powered visual asset creation for content, marketing, and presentation workflows.

## When to Use

Activate this skill when the task involves:
- Creating product imagery or renders
- Generating marketing visuals
- Building infographics and diagrams
- Creating presentation assets
- Producing social media graphics

## Capabilities

### 1. Photorealistic Renders
Generate high-fidelity product and scene imagery:
- **Model**: Imagen 3 (Google)
- **Resolution**: Up to 4K (4096x4096)
- **Styles**: Photorealistic, studio, lifestyle, editorial

### 2. Marketing Visuals
Create branded marketing assets:
- Social media graphics (1:1, 9:16, 16:9)
- Banner ads and hero images
- Email header graphics
- Campaign keyart

### 3. Infographics
Generate data-driven visuals:
- Process diagrams
- Comparison charts
- Timeline graphics
- Icon sets

### 4. Creative Concepts
Produce artistic and conceptual imagery:
- Abstract backgrounds
- Artistic illustrations
- Mood boards
- Style explorations

## Execution Pattern

```text
1. BRIEF → Define visual requirements and context
2. PROMPT → Craft detailed generation prompt
3. GENERATE → Execute image generation request
4. REVIEW → Evaluate output quality and accuracy
5. REFINE → Iterate with enhanced prompts if needed
6. DELIVER → Export in required formats and sizes
```

## Prompt Engineering

### Structure
```text
[Subject] + [Style] + [Composition] + [Lighting] + [Technical]
```

### Example Prompts

**Product Render:**
```text
Professional product photography of a modern steam cleaner,
studio lighting, white background, 45-degree angle,
high-key lighting, sharp focus, 8K resolution, commercial quality
```

**Marketing Visual:**
```text
Dynamic hero image for cleaning services website,
professional cleaner in action, modern office environment,
shallow depth of field, warm natural lighting,
contemporary style, aspirational mood
```

**Infographic Element:**
```text
Flat design icon set for cleaning industry,
minimalist style, consistent line weight,
cohesive color palette (blue, green, white),
vector-ready, transparent background
```

## Output Format

```xml
<image_output>
  <metadata>
    <prompt>Original generation prompt</prompt>
    <model>imagen-3</model>
    <resolution>2048x2048</resolution>
    <seed>12345</seed>
  </metadata>
  
  <files>
    <file format="png" size="original" path="..." />
    <file format="webp" size="web-optimized" path="..." />
    <file format="jpg" size="thumbnail" path="..." />
  </files>
  
  <variations>
    <variation id="1" prompt_modifier="..." path="..." />
  </variations>
</image_output>
```

## Aspect Ratios

| Ratio | Dimensions | Use Case |
|-------|------------|----------|
| 1:1 | 1024x1024 | Social media, thumbnails |
| 4:3 | 1024x768 | Presentations |
| 16:9 | 1920x1080 | Hero images, YouTube |
| 9:16 | 1080x1920 | Stories, shorts |
| 2:3 | 800x1200 | Pinterest, posters |

## Integration Points

- **Google Slides Storyboard**: Supplies presentation assets
- **Content Orchestrator**: Receives asset generation requests
- **Social Commander**: Provides social media graphics

## Quality Guidelines

### Do's
- Use specific, detailed prompts
- Include technical specifications
- Request multiple variations
- Specify lighting and composition

### Don'ts
- Avoid vague descriptions
- Don't request copyrighted elements
- Avoid text in images (use overlays instead)
- Don't exceed model capabilities

## Brand Consistency

When generating branded assets:
1. Reference brand color codes (hex values)
2. Specify typography style preferences
3. Include brand element descriptions
4. Maintain visual language consistency

## Error Handling

| Error | Recovery |
|-------|----------|
| Generation fails | Simplify prompt, retry |
| Low quality output | Enhance prompt specificity |
| Wrong style | Add explicit style modifiers |
| Policy rejection | Rephrase potentially flagged terms |

## Cost Considerations

- **Fuel Cost**: 5-20 PTS per generation
- **Optimization**: 
  - Batch similar requests
  - Cache reusable assets
  - Use lower resolution for drafts

Overview

This skill creates visual assets using advanced AI image generation models like Imagen 3 and DALL·E. It supports photorealistic product renders, marketing imagery, infographics, and creative visuals optimized for content and presentation workflows. The skill exports multiple formats and aspect ratios for direct use in campaigns and presentations.

How this skill works

Provide a compact brief describing subject, style, composition, lighting, and technical requirements. The skill crafts a detailed generation prompt, executes the image request, returns multiple variations and formats, and supports iterative refinement. Outputs include metadata (prompt, model, resolution, seed) and files in PNG, WEBP, and JPG suited to targeted aspect ratios.

When to use it

  • Creating high-fidelity product renders for catalogs and e-commerce
  • Producing marketing hero images, banners, and social graphics
  • Building data-driven infographics and diagram elements
  • Generating presentation and slide visuals for decks
  • Exploring creative concepts, mood boards, and style experiments

Best practices

  • Start with a concise BRIEF: subject + objective + context
  • Use the prompt structure: Subject + Style + Composition + Lighting + Technical
  • Specify resolution, aspect ratio, and file formats up front
  • Request multiple variations and seeds to increase usable output
  • Provide brand colors, typography notes, and visual language for consistency
  • Use lower-resolution drafts for iteration, then upscale final assets

Example use cases

  • Product photography mockups: studio-style 4K renders with white background for e‑commerce listings
  • Campaign creative: 16:9 hero images and 1:1 social tiles for a marketing launch
  • Infographics: timeline and comparison charts exported as vector-ready assets
  • Presentations: 4:3 slides visuals and custom icons for decks
  • Social content: 9:16 vertical assets for stories and short-form video covers

FAQ

Which models and resolutions are available?

Primary models include Imagen 3 and DALL·E with outputs up to 4K (4096x4096); select lower resolutions for drafts to save cost.

How do I ensure brand consistency?

Include brand hex colors, typography preferences, and element descriptions in the brief; request style-preserving variations and locked motifs.