Image Generation

Use this skill when you need to create one or more image files from a text prompt, or edit one or more existing images with Gemini.

Requirements

• ~/.openclaw/openclaw.json must include $.skills.entries["gemini-image-generation"].enabled set to true.

• ~/.openclaw/openclaw.json must include $.skills.entries["gemini-image-generation"].env with the following keys and values:

• GEMINI_API_KEY required

• GEMINI_MODEL_ID required

• GEMINI_BASE_URL optional

• example ~/.openclaw/openclaw.json:

{
  ......,
  "skills": {
    "entries": {
      "gemini-image-generation": {
        "enabled": true,
        "env": {
          "GEMINI_API_KEY": "sk-xxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
          "GEMINI_MODEL_ID": "gemini-3.1-flash-image-preview",
          "GEMINI_BASE_URL": "https://custom-endpoint.com"
        }
      }
    }
  },
  ......
}

• Node.js must be installed in the workspace environment.
• Install dependencies once with npm install from the skill root.

When To Use

• The user asks to generate a new image from a text prompt.
• The user asks to modify, restyle, extend, or otherwise edit one or more existing images.
• The user wants the generated image saved to a workspace file.
• The task should be handled through a reusable OpenClaw skill instead of ad hoc SDK code.

Procedure

1. Convert the user request into a single clear image prompt.
2. If the user supplied source images, choose or confirm the input file path or paths inside the workspace.
3. If the user specified a target aspect ratio or size, pass them through as --aspectRatio and --imageSize.
4. Choose an output path inside the workspace unless the user already provided one.
5. For text-to-image, run generate-image.mjs with --prompt, --output, and optional image config arguments.
6. For image editing, run edit-image.mjs with --prompt, one or more --input values, --output, and optional image config arguments.
7. Read the api key from GEMINI_API_KEY and the model ID from GEMINI_MODEL_ID in the environment.
8. Optionally, read the base URL from GEMINI_BASE_URL in the environment for custom endpoints.
9. Return the saved image path or paths to the user.

Commands

node ./.claude/skills/gemini-image-generation/scripts/generate-image.mjs --prompt "Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme" --output "outputs/gemini-native-image.png"

node ./.claude/skills/gemini-image-generation/scripts/generate-image.mjs --prompt "Create a wide cinematic food photo of a nano banana dish in a fancy restaurant with a Gemini theme" --output "outputs/gemini-wide.png" --aspectRatio "16:9" --imageSize "2K"

node ./.claude/skills/gemini-image-generation/scripts/edit-image.mjs --prompt "Turn this cat into a watercolor illustration eating a nano-banana in a fancy restaurant under the Gemini constellation" --input "inputs/cat.png" --output "outputs/cat-watercolor.png" --aspectRatio "5:4" --imageSize "2K"

node ./.claude/skills/gemini-image-generation/scripts/edit-image.mjs --prompt "Create an office group photo of these people making funny faces" --input "inputs/person-1.jpg" --input "inputs/person-2.jpg" --input "inputs/person-3.jpg" --output "outputs/group-photo.png"

Notes

• The script prints TEXT: lines for model text and IMAGE: lines for each saved file.
• The final JSON summary only includes generated image paths and optional image config so prompts, model IDs, and source image paths are not echoed back into logs.
• Saved file extensions follow the returned image mime type. If the requested output path uses a different suffix, the scripts keep the base name and write the file with the returned type instead.
• If the model returns multiple images, the scripts save them as name-1.png, name-2.png, and so on.
• edit-image.mjs supports repeated --input flags. You can also pass a comma-separated list to a single --input value.
• edit-image.mjs infers the source mime type from .png, .jpg, .jpeg, or .webp. Use one --mime-type for all inputs, or repeat --mime-type so it lines up with each --input.
• Both scripts accept --aspectRatio and --imageSize. They also accept the kebab-case forms --aspect-ratio and --image-size.
• The scripts only send config.imageConfig when at least one of those parameters is provided.