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,
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:
./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:
- Identify use case from command or context (og, hero, product, etc.)
- Apply SEO defaults from the use cases table above
- Set aspect ratio via
set_aspect_ratioMCP tool - Construct Reasoning Brief using the banana Creative Director pipeline:
- Use${CLAUDE_SKILL_DIR}as the installed skill root
- Load${CLAUDE_SKILL_DIR}/references/prompt-engineering.mdfor the 6-component system
- Apply domain mode emphasis (Subject 30%, Style 25%, Context 15%, etc.)
- Be SPECIFIC and VISCERAL: describe what the camera sees - Generate via
gemini_generate_imageMCP tool - Post-generation SEO checklist (see below)
Check for Presets
If the user mentions a brand or has SEO presets configured:
claude-seo run --extension banana presets.py list
Load matching preset and apply as defaults. Also check ${CLAUDE_SKILL_DIR}/references/seo-image-presets.md
for SEO-specific preset templates.
Post-Generation SEO Checklist
After every successful generation, guide the user on:
- Alt text:Write descriptive, keyword-rich alt text for the generated image
- File naming:Rename to SEO-friendly format:
keyword-description-widthxheight.webp - WebP conversion:Convert to WebP for optimal page speed:
bash magick output.png -quality 85 output.webp - File size:Target under 200KB for hero images, under 100KB for thumbnails
- Schema markup:Suggest
ImageObjectschema 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" } - 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: claude-seo run --extension banana cost_tracker.py log --model MODEL --resolution RES --prompt "brief"
- Run cost_tracker.py summary if user asks about usage
Pricing is not hard-coded. Check current Google pricing at
https://ai.google.dev/gemini-api/docs/pricing, store dated values in
~/.banana/pricing.json, and treat estimates as approximate.
Model Routing
| Scenario | Model | Why |
|---|---|---|
| OG images, social previews | Verified NANOBANANA_MODEL @ 1K |
Fast, cost-aware |
| Hero images, product photos | Verified NANOBANANA_MODEL @ 2K if supported |
Quality + detail |
| Infographics with text | Verified NANOBANANA_MODEL @ 2K if supported, thinking: high |
Better text rendering |
| Quick drafts | Verified NANOBANANA_MODEL @ 512 if supported |
Rapid iteration |
Error Handling
| Error | Resolution |
|---|---|
| MCP not configured | Run ./extensions/banana/install.sh or claude-seo run --extension banana setup_mcp.py --key YOUR_KEY |
| API key invalid | New key at https://aistudio.google.com/apikey |
| Rate limited (429) | Wait 60s, retry. Check current free-tier limits before batch operations |
IMAGE_SAFETY |
Rephrase prompt - see references/prompt-engineering.md Safety section |
| MCP unavailable | Fall back: claude-seo run --extension banana generate.py --prompt "..." --aspect-ratio "16:9" --model "$NANOBANANA_MODEL" |
| CSV batch input | Plan first: claude-seo run --extension banana batch.py --csv requests.csv --model "$NANOBANANA_MODEL" |
| 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 imagesidentify missing or low-quality images; use those findings to drive/seo image-gencommands - 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
ImageObjectschema markup pointing to the new assets
Reference Documentation
Load on-demand. Do NOT load all at startup:
- ${CLAUDE_SKILL_DIR}/references/prompt-engineering.md:6-component system, domain modes, templates
- ${CLAUDE_SKILL_DIR}/references/gemini-models.md:Model specs, rate limits, capabilities
- ${CLAUDE_SKILL_DIR}/references/mcp-tools.md:MCP tool parameters and responses
- ${CLAUDE_SKILL_DIR}/references/post-processing.md:ImageMagick/FFmpeg pipeline recipes
- ${CLAUDE_SKILL_DIR}/references/cost-tracking.md:Pricing, usage tracking
- ${CLAUDE_SKILL_DIR}/references/presets.md:Brand preset management
- ${CLAUDE_SKILL_DIR}/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
简诗 AI 安全边界
- 不自动安装依赖、修改系统权限、创建持久化任务或执行下载内容。
- 涉及发送、发布、删除、付款、部署或其他外部写入时，先展示目标与影响并取得用户明确确认。
- 凭据只用于用户指定的对应官方服务，不回显、不记录，也不转发到无关地址。
- 命令和代码默认作为参考；只有用户明确要求执行且目标范围清楚时才可运行。
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