Banana maker

Skill m2ai-mcp-servers/claude-skills/skills/banana-maker

Generate images using the Gemini image generation API with the Nano Banana Pro prompting methodology. Use when the user asks to generate, create, or make an image, picture, photo, illustration, or visual.From its SKILL.md

Install

npx -y skills add m2ai-mcp-servers/claude-skills --skill banana-maker

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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Banana Maker — Gemini Image Generation

When to Use

Activate this skill when the user asks to:

Generate, create, or make an image / picture / photo / illustration
Visualize a concept, scene, or idea as an image
Edit or modify an existing image (with reference images)
Create thumbnails, posters, logos, or any visual content

Workflow

1. Capture the User's Idea

Take the user's description or prompt as input. It can be a quick idea or a detailed description.

2. Ask for Model Choice

Present these options:

Flash — Nano Banana 2 (gemini-3.1-flash-image-preview). Fast, cost-effective. Supports 512 to 4K, controllable thinking, new ultra-wide aspect ratios. Good for iteration and quick concepts.
Pro — Nano Banana Pro (gemini-3-pro-image-preview). Advanced reasoning ("Thinking"), high-fidelity text rendering. Best for final output and detailed work. 1K-4K.
Grounded — Same Flash 3.1 model + search tools. The model can search the web and Google Images for real visual references before generating. Best for real people, real products, specific brands, real places, or anything where factual accuracy matters.

3. Enhance the Prompt (Recommended)

Read the prompting guide at ~/.claude/skills/banana-maker/prompting-guide.md and apply the Nano Banana Pro methodology to enhance the user's idea into a detailed, high-quality prompt. Claude does this enhancement directly -- no extra API call needed.

Apply the Ultimate Prompt Structure:

Subject -- Who/What
Action -- Doing what
Environment -- Where
Lighting/Mood -- Time of day, atmosphere
Technical Specs -- Camera angle, style, texture, materiality
Context -- Intended audience/medium (this helps the model infer artistic decisions)

Key principles:

Write in natural language, not tag soup
Add materiality keywords to avoid the "plastic AI look" (brushed steel, soft velvet, matte finish, grainy film texture)
Give context/purpose so the model can infer artistic decisions

Show the enhanced prompt to the user before generating.

4. Generate the Image

Run the script using the banana-maker venv:

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py "THE ENHANCED PROMPT" --model MODEL_CHOICE [OPTIONS]

5. Report Results

Show the output file path
Since Matthew browses from his Surface tablet, provide: http://10.0.0.46:PORT/filename if a file server is running, otherwise just the file path

Script Usage Reference

generate_image.py PROMPT --model MODEL [OPTIONS]

Positional:
  prompt                  The image generation prompt

Required:
  --model, -m             flash | pro | grounded

Options:
  --output, -o PATH       Output file path (default: output/generated_TIMESTAMP.png)
  --aspect-ratio, -a AR   1:1 | 16:9 | 9:16 | 4:3 | 3:4 | 1:4 | 4:1 | 1:8 | 8:1 (default: 1:1)
  --size, -s SIZE         512 | 1K | 2K | 4K (default: 2K, 512 is Flash 3.1 only)
  --reference, -r PATH    Reference image path(s), can specify multiple times (max 14)
  --search SEARCH         web | image | both (requires --model grounded)
  --thinking, -t LEVEL    minimal | high (Flash 3.1 thinking control, flash/grounded only)

Model Mapping

Flag	Model ID	Notes
`flash`	`gemini-3.1-flash-image-preview`	Nano Banana 2: fast, 512-4K, thinking control
`pro`	`gemini-3-pro-image-preview`	Nano Banana Pro: advanced reasoning, 1K-4K
`grounded`	`gemini-3.1-flash-image-preview`	Flash 3.1 + search tools (Nano Banana 2)

Reference Images

For identity locking, style transfer, or image editing, pass reference images:

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py \
  "Transform this photo into a watercolor painting" \
  --model flash \
  --reference photo.jpg

Supports up to 14 reference images (10 objects + 4 characters for Flash 3.1).

Examples

Simple generation:

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py \
  "A hyper-realistic close-up of an astronaut fixing a circuit board on Mars. Harsh sunlight from the right creates deep contrast. Shot on 35mm film with visible grain. For a sci-fi documentary poster." \
  --model pro --aspect-ratio 16:9

With reference image:

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py \
  "Keep this person's facial features identical but place them in a cyberpunk city at night" \
  --model pro --reference portrait.jpg

With search grounding (real-world accuracy):

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py \
  "The Sydney Opera House at sunset with a dramatic storm approaching from the west" \
  --model grounded --search both --aspect-ratio 16:9

Fast low-res iteration with thinking:

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py \
  "A minimalist logo for a coffee brand called 'Dark Roast Labs'" \
  --model flash --size 512 --thinking high

Ultra-wide panoramic:

~/.claude/skills/banana-maker/venv/bin/python ~/.claude/skills/banana-maker/generate_image.py \
  "A sweeping desert landscape at golden hour, endless sand dunes under dramatic cloud formations" \
  --model flash --aspect-ratio 8:1 --size 4K