claude-seo-image-gen

Files (9)

• LICENSE.txt
• SKILL.md
• cost-tracking.md · references/
• gemini-models.md · references/
• mcp-tools.md · references/
• post-processing.md · references/
• presets.md · references/
• prompt-engineering.md · references/
• seo-image-presets.md · references/

SKILL.md (first lines)

> **Nota per Kimi Code:** questa skill è convertita dal plugin Claude Code `claude-seo`. I comandi slash (`/seo ...`) non sono disponibili; descrivi semplicemente in linguaggio naturale cosa vuoi analizzare. Gli script sono in `~/.kimi/skills/claude-seo/scripts/`.



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

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 [Claude Banana](https://github.com/AgriciDaniel/banana-claude),
the standalone AI image generation skill for Claude Code.

This skill has two components with distinct roles:
- **SKILL.md** (this file): Handles interactive `image-gen` commands for generating images
- **Agent** (`~/.claude/agents/seo-image-gen.md` (agent reference, may need manual copy to Kimi)): Audit-only analyst spawned during `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 |
|---------|-------------|
| `image-gen og <description>` | Generate OG/social preview image (1200x630 feel) |
| `image-gen hero <description>` | Blog hero image (widescreen, dramatic) |
| `image-gen product <description>` | Product photography (clean, white BG) |
| `image-gen infographic <description>` | Infographic visual (vertical, data-heavy) |
| `image-gen custom <description>` | Custom image with full Creative Director pipeline |
| `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
~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/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: `~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/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

From CloreM-Fine/kimi-code-skill-adapters, MIT.

More from CloreM-Fine/kimi-code-skill-adapters