seo-image-gen

# SEO Image Gen: AI Image Generation for SEO Assets (Extension)
## Shared Data Cache

**Step 0 -- Check shared data cache:**

Before gathering, check `.seo-cache/` for reusable context from related SEO skills.
Reference: `../seo/references/shared-data-cache.md` for schemas and dependency map.

Check these cache files when present:
- `.seo-cache/site-meta.json` for domain, business type, industry, and crawl context
- `.seo-cache/audit-scores.json` for prior full-audit priorities
- `.seo-cache/pages/{url-slug}/page-analysis.json` for page-level context when a URL is provided

- If found: parse and use clearly valid fields (note "Using cached [X] from [date]")
- If missing, corrupt, or irrelevant: continue with fresh evidence
- If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

Generate production-ready images for SEO use cases using Gemini's image generation
via the banana Creative Director pipeline. Maps SEO needs to optimized domain modes,
aspect ratios, and resolution defaults.

## Architecture Note

This extension is built on the Banana image-generation pipeline
for SEO-specific image workflows in Codex.

This skill has two components with distinct roles:
- **SKILL.md** (this file): Handles interactive `/seo image-gen` commands for generating images
- **Agent** (`agents/seo-image-gen.toml`): Audit-only analyst spawned during `/seo audit` to assess existing OG/social images and produce a generation plan (never auto-generates)

## Prerequisites

This skill requires the banana extension to be installed:
```bash
./extensions/banana/install.sh
```

**Check availability:** Before using any image generation tool, verify the MCP server
is connected by checking if `gemini_generate_image` or `set_aspect_ratio` tools are
available. If tools are not available, inform the user the extension is not installed
and provide install instructions.

## Quick Reference

| Command | What it does |
|---------|-------------|
| `/seo image-gen og <description>` | Generate OG/social preview image (1200x630 feel) |
| `/seo image-gen hero <description>` | Blog hero image (widescreen, dramatic) |
| `/seo image-gen product <description>` | Product photography (clean, white BG) |
| `/seo image-gen infographic <description>` | Infographic visual (vertical, data-heavy) |
| `/seo image-gen custom <description>` | Custom image with full Creative Director pipeline |
| `/seo image-gen batch <description> [N]` | Generate N variations (default: 3) |

## SEO Image Use Cases

Each use case maps to pre-configured banana parameters:

| Use Case | Aspect Ratio | Resolution | Domain Mode | Notes |
|----------|-------------|------------|-------------|-------|
| **OG/Social Preview** | `16:9` | `1K` | Product or UI/Web | Clean, professional, text-friendly |
| **Blog Hero** | `16:9` | `2K` | Cinema or Editorial | Dramatic, atmospheric, editorial quality |
| **Schema Image** | `4:3` | `1K` | Product | Clean, descriptive, schema ImageObject |
| **Social Square** | `1:1` | `1K` | UI/Web | Platform-optimized square |
| **Product Photo** | `4:3` | `2K` | Product | White background, studio lighting |
| **Infographic** | `2:3` | `4K` | Infographic | Data-heavy, vertical layout |
| **Favicon/Icon** | `1:1` | `512` | Logo | Minimal, scalable, recognizable |
| **Pinterest Pin** | `2:3` | `2K` | Editorial | Tall vertical card |

## Generation Pipeline

For every generation request:

1. **Identify use case** from command or context (og, hero, product, etc.)
2. **Apply SEO defaults** from the use cases table above
3. **Set aspect ratio** via `set_aspect_ratio` MCP tool
4. **Construct Reasoning Brief** using the banana Creative Director pipeline:
   - Load `references/prompt-engineering.md` for the 6-component system
   - Apply domain mode emphasis (Subject 30%, Style 25%, Context 15%, etc.)
   - Be SPECIFIC and VISCERAL: describe what the camera sees
5. **Generate** via `gemini_generate_image` MCP tool
6. **Post-generation SEO checklist** (see below)

### Check for Presets

If the user mentions a brand or has SEO presets configured:
```bash
python3 scripts/presets.py list
```
Load matching preset and apply as defaults. Also check `references/seo-image-presets.md`
for SEO-specific preset templates.

## Post-Generation SEO Checklist

After every successful generation, guide the user on:

1. **Alt text**:Write descriptive, keyword-rich alt text for the generated image
2. **File naming**:Rename to SEO-friendly format: `keyword-description-widthxheight.webp`
3. **WebP conversion**:Convert to WebP for optimal page speed:
   ```bash
   magick output.png -quality 85 output.webp
   ```
4. **File size**:Target under 200KB for hero images, under 100KB for thumbnails
5. **Schema markup**:Suggest `ImageObject` schema for the generated image:
   ```json
   {
     "@type": "ImageObject",
     "url": "https://example.com/images/keyword-description.webp",
     "width": 1200,
     "height": 630,
     "caption": "Descriptive caption with target keyword"
   }
   ```
6. **OG meta tags**:For social preview images, remind about:
   ```html
   <meta property="og:image" content="https://example.com/images/og-image.webp" />
   <meta property="og:image:width" content="1200" />
   <meta property="og:image:height" content="630" />
   <meta property="og:image:alt" content="Descriptive alt text" />
   ```

## Cost Awareness

Image generation costs money. Be transparent:
- Show estimated cost before generating (especially for batch)
- Log every generation: `python3 scripts/cost_tracker.py log --model MODEL --resolution RES --prompt "brief"`
- Run `cost_tracker.py summary` if user asks about usage

Approximate costs (gemini-3.1-flash):
- 512: ~$0.02/image
- 1K resolution: ~$0.04/image
- 2K resolution: ~$0.08/image
- 4K resolution: ~$0.16/image

## Model Routing

| Scenario | Model | Why |
|----------|-------|-----|
| OG images, social previews | `gemini-3.1-flash-image-preview` @ 1K | Fast, cost-effective |
| Hero images, product photos | `gemini