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Image Generation

Community
guinacio
image-generation

Generates professional AI images using Google Gemini. ALWAYS invoke this skill when building websites, landing pages, slide decks, presentations, or any task needing visual content. Invoke IMMEDIATELY when you detect image needs - don't wait for the user to ask. This skill handles prompt optimization and aspect ratio selection.

Overview

Publisherguinacio
Repositoryclaude-image-gen
Skill nameimage-generation
Stars
81
Forks
9
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by guinacio on GitHub. Read the source before you install it.

Installation

Install the Image Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/guinacio/claude-image-gen/tree/master/skills/image-generation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/guinacio/claude-image-gen.git /tmp/claude-image-gen
mkdir -p .claude/skills
cp -r /tmp/claude-image-gen/skills/image-generation .claude/skills/image-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Image Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Image Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Image Generation Skill

Generate professional AI images using Google Gemini via the bundled CLI script.

When to Invoke This Skill

Invoke immediately when:

Web Development

  • Hero sections without images
  • Feature illustrations needed
  • Placeholder images in code (placeholder.jpg, stock-photo.png)
  • Empty visual sections (<section class="hero"> without images)
  • Landing pages and marketing sites

Presentations & Documents

  • Cover images and headers
  • Conceptual diagrams
  • Section dividers

Applications

  • Onboarding illustrations
  • Empty state graphics
  • Error page visuals

Using the CLI

Run the bundled CLI script via bash:

bash
node "${CLAUDE_PLUGIN_ROOT}/mcp-server/build/cli.bundle.js" \
  --prompt "Your detailed image description" \
  --output "./path/to/output.png" \
  --aspect-ratio "16:9"

Parameters

FlagRequiredDefaultDescription
--prompt, -pYes-Detailed image description
--output, -oNoauto-generatedOutput file path
--aspect-ratio, -aNo1:11:1, 16:9, 9:16, 4:3, 3:4, 2:3, 3:2
--model, -mNoprovider defaultModel to use; routes the provider (gpt-image*/dall-e* → OpenAI, others → Gemini)
--reference-images, -rNo-Reference image paths (PNG/JPEG/WebP, repeatable or comma-separated, max 5)
--maskNo-PNG mask marking the region to repaint; OpenAI only, requires --reference-images
--background, -bNoprovider defaultauto, transparent or opaque; OpenAI only. gpt-image-2 refuses transparent and is rejected before the request is sent
--output-format, -fNoprovider defaultpng, jpeg or webp; OpenAI only
--output-dir, -dNocurrent directoryOutput directory

Environment Variables

VariableRequiredDescription
GEMINI_API_KEYAt least one of GEMINI_API_KEY / OPENAI_API_KEYYour Gemini API key
OPENAI_API_KEYAt least one of GEMINI_API_KEY / OPENAI_API_KEYYour OpenAI API key
GEMINI_DEFAULT_MODELNoPreferred default Gemini model
OPENAI_DEFAULT_MODELNoPreferred default OpenAI model (default: gpt-image-2)
IMAGE_PROVIDERNogemini or openai — provider used when --model is omitted
MEDIA_PIPELINE_LOG_LEVELNoLogging level for stderr diagnostics

Output

The CLI outputs JSON:

json
{"success": true, "filePath": "/path/to/generated-image.png"}

Or on error:

json
{"success": false, "error": "Error message"}

Aspect Ratio Selection

  • 16:9 - Hero images, website headers, presentations
  • 1:1 - Social media, thumbnails, profile images
  • 9:16 - Mobile stories, vertical banners
  • 4:3 - Blog posts, general web content
  • 3:2 - Photography-style images

Prompt Crafting

Use this formula for effective prompts:

[Style] [Subject] [Composition] [Context/Atmosphere]

Examples

Hero Image for Tech Startup

Minimalist 3D illustration of abstract geometric shapes floating in space,
soft gradient background from deep purple to electric blue, subtle glow effects,
modern professional aesthetic, wide composition for website header

E-commerce Product

Clean product photography of modern wireless headphones on white marble surface,
soft studio lighting from left, subtle shadows, high-end minimalist aesthetic,
centered composition

Blog Post Header

Aerial photography of winding river through autumn forest, golden hour lighting,
warm color palette with oranges and reds, cinematic wide shot, serene atmosphere

App Illustration

Flat vector illustration of person organizing digital files on floating screens,
soft pastel colors, isometric perspective, clean lines, friendly approachable style

Pattern Detection

Automatically invoke this skill when you see:

html
<!-- Placeholder detection -->
<img src="placeholder.jpg" alt="Hero">
<!-- Action: Invoke skill and generate a custom hero image -->

<!-- Empty visual section -->
<section class="features">
  <h2>Our Features</h2>
  <!-- No images -->
</section>
<!-- Action: Invoke skill to create feature illustrations -->
css
/* Generic stock reference */
.banner { background: url('stock-image.jpg'); }
/* Action: Invoke skill to create a unique background */

Workflow

  1. Detect Need - Identify visual content requirements (hero, illustrations, backgrounds)
  2. Invoke Skill - Use the Skill tool with skill: "image-generation" immediately
  3. Analyze Context - Understand project style and brand
  4. Craft Prompt - Build detailed prompt using the formula above
  5. Generate - Run the CLI script with optimized parameters
  6. Integrate - Place image in project with proper references

Model Selection

The CLI is dual-provider: the --model value routes the request — model names starting with gpt-image or dall-e go to OpenAI, everything else goes to Gemini. When --model is omitted, IMAGE_PROVIDER picks which provider's default model is used.

  • Gemini (GEMINI_DEFAULT_MODEL, e.g. gemini-3-pro-image) — models are fetched dynamically from the Gemini API; the CLI falls back to the first discovered image-capable model if no default is set. Prefer Gemini for iterative creative work and when relying on the dynamically discovered model catalog.
  • OpenAI (OPENAI_DEFAULT_MODEL, default gpt-image-2) — use when you specifically need OpenAI's gpt-image-2 model, or when only an OpenAI API key is configured. Note OpenAI's image sizes are limited to 1024x1024/1536x1024/1024x1536; non-matching aspect ratios are mapped to the nearest supported size with a warning.

Best Practices

DO:

  • Include specific style keywords
  • Match aspect ratio to intended use
  • Describe mood and atmosphere
  • Specify color palette for brand consistency

DON'T:

  • Use vague prompts ("make it look good")
  • Ignore where the image will be used
  • Skip aspect ratio for specific layouts

Reference

For advanced prompt techniques: references/prompt-crafting.md

Alternative: MCP Tool

If the MCP server is configured, you can also use:

mcp__media-pipeline__create_asset

Parameters: prompt, outputPath, aspectRatio, model (routes to Gemini or OpenAI by name), referenceImages (up to 5 absolute paths, PNG/JPEG/WebP), mask, background, outputFormat (the last three are OpenAI-only)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Image Generation AI skill do?

Generates professional AI images using Google Gemini. ALWAYS invoke this skill when building websites, landing pages, slide decks, presentations, or any task needing visual content. Invoke IMMEDIATELY when you detect image needs - don't wait for the user to ask. This skill handles prompt optimization and aspect ratio selection.

Why use Image Generation on TypingMind?

Because you install it once and use it with any model. Image Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Image Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/guinacio/claude-image-gen/tree/master/skills/image-generation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Image Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Image Generation?

As many as you like. As long as a model supports skills, you can use Image Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Image Generation AI skill free?

Yes. It is published on GitHub by guinacio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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