--- name: seo-image-gen description: "AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\"." argument-hint: "[og|hero|product|infographic|custom|batch] " user-invocable: true license: MIT compatibility: "Requires nanobanana MCP server" metadata: author: AgriciDaniel version: "2.2.0" category: seo --- # 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 `/seo image-gen` commands for generating images - **Agent** (`agents/seo-image-gen.md`): 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 ` | Generate OG/social preview image (1200x630 feel) | | `/seo image-gen hero ` | Blog hero image (widescreen, dramatic) | | `/seo image-gen product ` | Product photography (clean, white BG) | | `/seo image-gen infographic ` | Infographic visual (vertical, data-heavy) | | `/seo image-gen custom ` | Custom image with full Creative Director pipeline | | `/seo image-gen batch [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 ``` ## 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-3.1-flash-image-preview` @ 2K | Quality + detail | | Infographics with text | `gemini-3.1-flash-image-preview` @ 2K, thinking: high | Better text rendering | | Quick drafts | `gemini-2.5-flash-image` @ 512 | Rapid iteration | ## Error Handling | Error | Resolution | |-------|-----------| | MCP not configured | Run `./extensions/banana/install.sh` | | API key invalid | New key at https://aistudio.google.com/apikey | | Rate limited (429) | Wait 60s, retry. Free tier: ~10 RPM / ~500 RPD | | `IMAGE_SAFETY` | Rephrase prompt - see `references/prompt-engineering.md` Safety section | | MCP unavailable | Fall back: `python3 scripts/generate.py --prompt "..." --aspect-ratio "16:9"` | | Extension not installed | Show install instructions: `./extensions/banana/install.sh` | ## Cross-Skill Integration - **seo-images** (analysis) feeds into **seo-image-gen** (generation): audit results from `/seo images` identify missing or low-quality images; use those findings to drive `/seo image-gen` commands - **seo-audit** spawns the seo-image-gen **agent** (not this skill) to analyze OG/social images across the site and produce a prioritized generation plan - **seo-schema** can consume generated images: after generation, suggest `ImageObject` schema markup pointing to the new assets ## Reference Documentation Load on-demand. Do NOT load all at startup: - `references/prompt-engineering.md`:6-component system, domain modes, templates - `references/gemini-models.md`:Model specs, rate limits, capabilities - `references/mcp-tools.md`:MCP tool parameters and responses - `references/post-processing.md`:ImageMagick/FFmpeg pipeline recipes - `references/cost-tracking.md`:Pricing, usage tracking - `references/presets.md`:Brand preset management - `references/seo-image-presets.md`:SEO-specific preset templates ## Response Format After generating, always provide: 1. **Image path**:where it was saved 2. **Crafted prompt**:show what was sent to the API (educational) 3. **Settings**:model, aspect ratio, resolution 4. **SEO checklist**:alt text suggestion, file naming, WebP conversion 5. **Schema snippet**:ImageObject or og:image markup if applicable