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Gemini Image Gen

Community
maystudios
gemini-image-gen

Generate images using Google Gemini via Chrome browser automation. This skill should be used when the user wants to create, generate, or produce images with Gemini, Google AI, or Imagen. Supports resolution control (0.5K, 1K, 2K, 4K), aspect ratios, up to 14 reference images, style transfer, text rendering, image editing, and inpainting. Automatically downloads generated images and moves them to the desired location. Triggers on requests like "generate an image", "create a picture with Gemini", "make me a 4K image", or "use Gemini to create artwork".

Overview

Publishermaystudios
Repositoryclaude-skills
Skill namegemini-image-gen
Stars
26
Forks
2
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 maystudios on GitHub. Read the source before you install it.

Installation

Install the Gemini Image Gen 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/maystudios/claude-skills/tree/main/gemini-image-gen
  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/maystudios/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/gemini-image-gen .claude/skills/gemini-image-gen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gemini Image Gen 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 Gemini Image Gen 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 Gemini Image Gen 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.

Gemini Image Generation via Chrome

Generate images through Google Gemini's web interface using Chrome browser automation. Built on the Nano Banana / Gemini 3 image generation models.

Prerequisites

  • Chrome browser with the Claude-in-Chrome extension installed and active
  • User must be logged into their Google account at https://gemini.google.com
  • Chrome MCP tools available (mcp__claude-in-chrome__*)

Tool Mapping

ActionMCP Tool
Get tab contextmcp__claude-in-chrome__tabs_context_mcp
Create new tabmcp__claude-in-chrome__tabs_create_mcp
Navigate to URLmcp__claude-in-chrome__navigate
Click, type, screenshot, hover, scroll, waitmcp__claude-in-chrome__computer
Find elements by descriptionmcp__claude-in-chrome__find
Read page accessibility treemcp__claude-in-chrome__read_page
Set form valuesmcp__claude-in-chrome__form_input
Upload reference imagesmcp__claude-in-chrome__upload_image
Extract page textmcp__claude-in-chrome__get_page_text

Workflow

Step 1: Initialize Browser Session

1. Call tabs_context_mcp to discover existing tabs
2. Call tabs_create_mcp to create a fresh tab
3. Navigate to https://gemini.google.com/app
4. Take a screenshot to verify the page loaded

Step 2: Start a New Chat with Image Generation Enabled

1. Use find to locate the "New chat" button (top-left area / sidebar), then click it with computer
2. Take a screenshot with computer to confirm the new chat is open
3. Use find to locate the "Tools" or settings area in the chat interface
4. Enable "Image generation" / "Bilderstellung" tool by clicking it
5. Take a screenshot to confirm image generation is enabled

Step 3: Upload Reference Images (if provided)

If the user provides reference images (up to 14 supported), upload them BEFORE submitting the prompt:

1. Use find to locate the attachment/upload button in the chat input area
2. For each reference image:
   a. Click the upload button with computer
   b. Use upload_image to upload the file to the file input or drop zone
3. Supported formats: PNG, JPEG, WebP, HEIC, HEIF
4. Verify uploads appear in the chat input area via screenshot

Step 4: Construct and Submit the Prompt

Build the prompt using the structured framework below, then type and submit it.

Prompt Construction Formula:

For text-to-image (no references):

[Subject] + [Action] + [Location/Context] + [Composition] + [Style]

For multimodal generation (with references):

[Reference images] + [Relationship instruction] + [New scenario]

Include in the prompt when the user specifies:

  • Resolution: Append the desired resolution naturally, e.g. "Generate this in 4K resolution" or "Create a 2K image of..."
    • Available: 0.5K (512px), 1K, 2K, 4K
  • Aspect Ratio: Specify the ratio, e.g. "in 16:9 aspect ratio"
    • Available: 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 1:4, 4:1, 1:8, 8:1
  • Style: Use photographic/cinematic language from the prompting guide

Submitting:

1. Use find to locate the prompt input field (textarea / chat input)
2. Type the constructed prompt using computer action "type"
3. Press Enter or click the send button via computer to submit
4. Wait for the image to generate (use computer wait action, 15-30 seconds typical, up to 60s for 4K)
5. Take a screenshot with computer to verify the image was generated

Step 5: Download the Generated Image

1. Take a screenshot with computer to see the generated image
2. Hover over the generated image using computer action "hover" to reveal download controls
3. Look for "Download original size" / "Originalgröße herunterladen" button
   (appears top-right corner of the image on hover)
4. Click the download button with computer
5. Wait 3-5 seconds (computer wait action) for the download to complete
6. The file will be saved to the user's Downloads folder

Step 6: Move the Downloaded File

1. Find the most recently downloaded file in the Downloads folder:
   ls -t ~/Downloads/ | head -5
2. Move the file to the user's specified destination using Bash:
   mv ~/Downloads/filename.png "/desired/destination/filename.png"
3. Report the final file location to the user

Prompt Enhancement Guidelines

When the user provides a basic prompt, enhance it using these principles:

  1. Be specific: Add concrete details on subject, lighting, composition
  2. Use positive framing: Describe what you want, not what you don't want ("empty street" not "no cars")
  3. Control the camera: Use photographic terms like "low angle", "aerial view", "macro lens"
  4. Start with a strong verb: "Create", "Generate", "Design", "Photograph"
  5. Describe narratively: Write scene descriptions, not keyword lists

Lighting terms: three-point softbox, chiaroscuro, golden hour backlighting, Rembrandt lighting Camera terms: GoPro (distorted/immersive), Fujifilm (color science), macro lens (detail), wide-angle (scale) Film/color: "1980s color film, slightly grainy", "cinematic muted teal tones", "high saturation editorial" Materiality: Specify textures -- "navy blue tweed" not just "jacket", "ornate elven plate armor, etched with silver leaf" not just "armor"

For text rendering in images:

  • Enclose text in quotes: "Happy Birthday"
  • Specify font: "bold white sans-serif font" or "Century Gothic 12px"
  • Supports 10+ languages for multilingual text

Resolution and Aspect Ratio Quick Reference

ResolutionPixelsBest For
0.5K~512pxQuick drafts, thumbnails
1K~1024pxWeb use, social media
2K~2048pxHigh-quality prints, presentations
4K~4096pxLarge prints, professional use
Aspect RatioUse Case
1:1Social media posts, profile pictures
16:9Widescreen, YouTube thumbnails, presentations
9:16Phone wallpapers, Instagram/TikTok stories
3:2Photography standard
4:3Classic display ratio
21:9Ultra-wide, cinematic
4:5Instagram portrait
1:4 / 4:1Banners, panoramic
1:8 / 8:1Extreme banners

Prompting Frameworks

For detailed prompting strategies covering all five frameworks (Image Generation, Image Editing, Real-Time Web Search, Text Rendering, Creative Direction), consult the bundled reference:

Reference: references/prompting-guide.md -- comprehensive prompting guide with examples for every framework

Image Editing (Follow-up Prompts)

After generating an image, the user can request edits in the same chat:

  • Inpainting: "Remove the person from the background" (semantic masking via text)
  • Style transfer: "Recreate this in watercolor style"
  • Adding elements: "Add a red umbrella to the scene"
  • Upscaling: "Upscale this to 4K"

Be explicit about what to keep: "Keep everything else exactly the same, only change..."

Error Handling

  • If the page doesn't load: retry navigation, check internet connection
  • If image generation fails: simplify the prompt, remove complex instructions
  • If download button doesn't appear: try scrolling, hovering more precisely over the image
  • If the file isn't in Downloads after 10 seconds: check with ls -t ~/Downloads/ | head -5
  • If tools/image generation toggle isn't found: take a screenshot and look for alternative UI paths

Notes

  • All Gemini-generated images include C2PA Content Credentials and SynthID watermarks
  • The models have a knowledge cutoff of January 2025 but can use real-time web search
  • Maximum input: 131,072 tokens (Flash) / 65,536 tokens (Pro)
  • Maximum output: 32,768 tokens for both models
  • Supported input file types for references: PNG, JPEG, WebP, HEIC, HEIF
  • PDF and text file inputs are also supported (up to 50MB)

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 Gemini Image Gen AI skill do?

Generate images using Google Gemini via Chrome browser automation. This skill should be used when the user wants to create, generate, or produce images with Gemini, Google AI, or Imagen. Supports resolution control (0.5K, 1K, 2K, 4K), aspect ratios, up to 14 reference images, style transfer, text rendering, image editing, and inpainting. Automatically downloads generated images and moves them to the desired location. Triggers on requests like "generate an image", "create a picture with Gemini", "make me a 4K image", or "use Gemini to create artwork".

Why use Gemini Image Gen on TypingMind?

Because you install it once and use it with any model. Gemini Image Gen 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 Gemini Image Gen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/maystudios/claude-skills/tree/main/gemini-image-gen. 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 Gemini Image Gen?

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 Gemini Image Gen?

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

Is the Gemini Image Gen AI skill free?

Yes. It is published on GitHub by maystudios 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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