seo-image-gen
by AgriciDanielseo-image-gen is a GitHub skill for turning SEO image requests into production-ready prompts and settings for OG images, social previews, hero banners, product visuals, infographics, and thumbnails. It uses Gemini via nanobanana-mcp and assumes the banana extension is installed for a practical seo-image-gen guide and workflow.
This skill scores 84/100, which means it is a solid listing candidate for directory users who want a dedicated image-generation workflow for SEO assets. It is triggerable and operationally useful, with enough references and instructions to reduce guesswork compared with a generic prompt, though users should still expect some setup dependency on the nanobanana MCP server and Banana extension.
- Explicit trigger coverage for SEO image tasks like OG images, hero images, product photos, infographics, thumbnails, and banners, making agent invocation straightforward.
- Operational references cover model selection, MCP tools, presets, post-processing, and cost tracking, which improves execution planning beyond a single prompt.
- Body content and references show a real workflow, including prompt engineering guidance, aspect ratio/resolution defaults, and on-demand references for batch and post-processing work.
- Requires the banana extension and nanobanana MCP server, so it is not a standalone skill and adoption depends on external setup.
- No install command or scripts are provided in SKILL.md, so users may need to resolve configuration details manually before first use.
Overview of seo-image-gen skill
What seo-image-gen does
The seo-image-gen skill turns SEO image requests into production-oriented prompts and generation settings for assets like OG images, social previews, hero banners, product visuals, infographics, and thumbnails. It is best for users who want more than a generic image prompt and need an output shaped for a channel, ratio, and SEO use case.
Who should use it
Use the seo-image-gen skill if you need fast, repeatable image generation for web publishing, content marketing, or social distribution. It is a strong fit when you already know the asset type but need help translating that into a usable prompt for Image Generation, including aspect ratio, style, and post-processing intent.
What makes it different
Unlike a plain prompt, seo-image-gen is built around SEO asset conventions and Gemini image generation through nanobanana-mcp. That matters when you need output that is practical for publishing, not just visually interesting. The skill also assumes the banana extension is installed, so it is meant for an integrated workflow rather than a standalone idea generator.
When it is a good fit
Choose seo-image-gen when the job is to create a specific web asset, especially when the request includes phrases like OG image, social preview, blog hero, product photo, infographic, favicon, banner, or thumbnail. It is less useful if you only want a rough concept with no destination, no dimensions, and no publishing context.
How to Use seo-image-gen skill
Install and activation
Run the install command from your skill manager, then confirm the banana extension and nanobanana-mcp server are available before trying the first generation. The repo is an extension-style skill, so the main adoption blocker is usually missing prerequisites rather than prompt quality.
Start with the right input
For seo-image-gen usage, give the system the asset type, subject, intended platform, and any brand constraints in one request. A weak request like “make a SEO image” leaves too many decisions open. A stronger one is: “Create a 16:9 blog hero image for a B2B SaaS article about invoice automation, clean editorial style, blue and white palette, no text overlay.”
Repository files to read first
For a practical seo-image-gen guide, read SKILL.md first, then check references/mcp-tools.md for tool behavior, references/gemini-models.md for model choice, and references/prompt-engineering.md for prompt structure. Use references/post-processing.md and references/presets.md when you need platform resizing or brand consistency.
Workflow that produces better outputs
Use a simple sequence: identify the SEO asset, pick the format, write a brief with subject and composition, generate, then refine with one concrete change at a time. For seo-image-gen for Image Generation, the biggest quality gains come from specifying ratio, audience, visual style, and any no-go elements such as text, logos, clutter, or extra objects.
seo-image-gen skill FAQ
Is seo-image-gen only for SEO teams?
No. It is useful for founders, marketers, editors, designers, and agents that need publishable visuals with minimal back-and-forth. The SEO focus mainly means the output is optimized for content workflows, not that the skill is limited to search specialists.
How is this different from a normal prompt?
A normal prompt may describe the image but not the delivery context. seo-image-gen adds workflow structure around use case, model choice, aspect ratio, and post-generation handling, which makes it easier to get a usable asset on the first pass.
Do I need experience with image prompting?
No, but beginners will get better results if they provide a clear brief instead of a vague idea. The skill is beginner-friendly when the request includes a destination and a visual goal, such as “LinkedIn banner for a fintech launch” or “Pinterest-style infographic for recipe content.”
When should I not use seo-image-gen?
Do not use it if you need a purely audit-focused review of existing images, or if your task is unrelated to SEO publishing assets. It is also a poor fit when you cannot install the banana extension or connect the required MCP server.
How to Improve seo-image-gen skill
Give the skill fewer, better decisions
The most useful input is not more adjectives; it is clearer constraints. State the asset type, ratio, topic, brand mood, and whether text should appear inside the image. For example: “16:9 hero image, minimalist editorial, dark background, no embedded copy, designed for a cybersecurity article.”
Avoid common failure modes
The most common problems are vague subject matter, missing ratio, and trying to force too many ideas into one image. If the first result feels off, the issue is often the brief, not the model. Narrow the scene, remove secondary subjects, and say what must be excluded.
Improve the first draft with iteration
After the first generation, refine one dimension at a time: composition, lighting, realism level, color palette, or crop safety. This is especially effective for seo-image-gen install and usage workflows because it turns one broad request into a controllable asset pipeline instead of a one-shot prompt.
Use references when quality matters
If you want better results from seo-image-gen, read the prompt and model references before generating batches or brand assets. The biggest practical lift usually comes from matching the model to the task, using presets for consistency, and post-processing to the exact platform size rather than hoping the default output fits everywhere.
