Image Generation Skill

You have access to Google Gemini image generation via the generate_image MCP tool.

When to Use

Generate images when the user:

• Asks for an image, illustration, or visual asset
• Needs a hero image, placeholder, icon, or background for a project
• Asks to edit, modify, or iterate on an existing image
• Mentions creating visual content of any kind

How to Use

Call the generate_image tool. The behaviour depends on the parameters:

Text-to-Image (no input images)

{
  "prompt": "A modern dashboard UI with dark theme and blue accent colours",
  "aspectRatio": "16:9",
  "resolution": "2K",
  "filename": "dashboard-hero",
  "subfolder": "landing-page"
}

Image Editing (with input images)

{
  "prompt": "Change the background to a sunset over water",
  "images": ["./src/assets/hero.png"],
  "aspectRatio": "16:9"
}

Multi-Turn Refinement

The tool returns a sessionId with every response. Pass it back to continue editing:

{
  "prompt": "Make the colours warmer and add more contrast",
  "sessionId": "session-1711929600000-a1b2c3"
}

This preserves the conversation history so the model remembers what it generated.

Output Organization

• Use filename to give images meaningful names (e.g. hero-banner instead of gemini-1711929600000-a1b2c3)
• Use subfolder to group related assets (e.g. landing-page, blog-posts)
• Duplicate filenames are auto-versioned: hero.png, hero-v2.png, hero-v3.png
• When generating assets for a project, save them directly to the project's asset directory using outputDir

Image Processing (process_image)

Use process_image for local, free operations that don't need AI:

Common Pipelines

Subject on a specific background (canvas approach — recommended): Create a solid colour canvas with process_image, then feed it to generate_image as input. Gemini places the subject with correct lighting and reflections — no chroma key needed.

// Step 1: generate_image with a canvas image as input
{
  "prompt": "Place a yellow rubber duck on this background. Product photography, studio lighting, centered.",
  "images": ["./canvas-white.png"],
  "filename": "duck-on-white"
}

This is better than chroma key for yellow, green, or glass/reflective subjects.

Transparent asset from green screen (two-step pipeline): Generate on green, then chroma key locally for free. Best for high-contrast subjects (dark/red/blue on green):

// Step 1: generate_image
{"prompt": "A product photo on a bright green background", "filename": "product-green"}

// Step 2: process_image
{
  "imagePath": "./product-green.png",
  "removeBackground": {"color": "#00FF00"},
  "trim": true,
  "filename": "product-transparent"
}

Always use #00FF00 — it works better than trying to match Gemini's actual green shade.

Favicon/icon from a logo:

{
  "imagePath": "./logo.png",
  "removeBackground": {"threshold": 230},
  "trim": true,
  "resize": {"width": 192, "height": 192},
  "filename": "favicon-192"
}

Crop to aspect ratio:

{
  "imagePath": "./photo.png",
  "crop": {"aspectRatio": "16:9", "strategy": "attention"},
  "filename": "hero-banner"
}

Strategies: center (default, crops from center), attention (shifts crop toward the most visually interesting region), entropy (shifts toward the most detailed region). These control the focal point — not content detection.

Convert for web:

{
  "imagePath": "./image.png",
  "format": "webp",
  "quality": 85
}

Limitations of process_image

• Threshold bg removal only works on light backgrounds — it makes near-white pixels transparent. If the subject is also white/light (e.g. white t-shirt on white background), it will damage the subject. For same-colour subjects, use chroma key (color param) or generate_image with "remove the background".
• Chroma key struggles with yellow, green, or glass subjects — yellow is too close to green in hue space and gets partially removed. Green subjects (plants, etc.) overlap with the background. Glass/reflective surfaces pick up green reflections that can't be separated. For these subjects, use the canvas approach instead (feed a solid background to generate_image).
• Use #00FF00 for chroma key, not the actual background colour — Gemini generates desaturated greens (~hue 105°), not pure green (hue 120°). Targeting #00FF00 creates a natural safety margin that protects the subject. Default tolerance is 80.
• Trim removes all border whitespace — don't use trim on sprite sheets or images where surrounding space is intentional. Trim + small resize = blurry results.
• Resize respects the input dimensions — if you trim a 1024px image down to 200px of content, then resize to 128px, that's fine. But trimming a 1024px-wide sprite sheet with 4 characters and resizing to 128px means 32px per character.

When to use which tool

• process_image — crop, resize, format convert, threshold bg removal (white backgrounds), chroma key bg removal (green screen), trim. Free and instant.
• Canvas approach (generate_image with a solid colour input image) — when you want a subject on a specific background, especially for yellow, green, or glass subjects. One API call, correct lighting.
• Green screen + process_image — when you need a transparent PNG for compositing. Best for high-contrast subjects (red, blue, black, white on green). Two calls, processing is free.
• generate_image with images — AI-powered editing: style changes, complex background removal (any background, any subject), content-aware modifications. Costs ~$0.04 per operation.

Prompt Tips

Structure prompts as: [Style] [Subject] [Composition] [Context/Atmosphere]

• Be specific about visual style: "flat illustration", "photorealistic", "watercolour"
• Include composition details: "centered", "rule of thirds", "close-up"
• Mention lighting and mood: "warm golden hour light", "moody and dramatic"
• For editing: use "recreate" or "reimagine" rather than "crop" or "resize" — the latter may produce text-only responses

Models

• gemini-2.5-flash-image (default) — cheapest (~$0.04/image), 1K. Shuts down 2026-10-02.
• gemini-3.1-flash-image — speed + quality, Google Search grounding, 512–4K (~$0.07/1K image).
• gemini-3-pro-image — best quality, text rendering, up to 4K, ~11 reference images (~$0.13/1K image).

Use the GA IDs above. The older -preview IDs still work during Google's cutover but retire 2026-06-25. The server validates the model against whatever your API key supports.

Important

• Every response includes token usage, estimated cost, and session totals — mention the cost to the user
• If rate limits are configured, the response shows remaining budget. Respect these limits.
• For iterative refinement, prefer sessionId over passing the output image back as input — sessions preserve conversation context and produce better edits
• For web assets, suggest appropriate aspect ratios (16:9 for hero images, 1:1 for avatars, 9:16 for mobile)
• Use seed when the user wants to iterate on a prompt while keeping the visual style consistent