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yao-image

Image expert. ALWAYS invoke this skill when you need to read, analyze, describe, or generate images. Use for screenshots, photos, charts, diagrams, AI-generated images, or any visual content.

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Image Tools

Use these tools when you encounter images you cannot read natively, or when you need to generate new images.

image_read

Send an image to a vision-capable model and get a text description.

Local file (most common):

tai tool image_read --image_path /path/to/image.png --prompt "Describe this image"

URL:

tai tool image_read --image_path https://example.com/photo.jpg --prompt "What is shown?"

With a specific vision provider:

tai tool image_read --image_path /path/to/image.png --prompt "Describe" --provider llm.my-openai:gpt-4o
ParameterTypeRequiredDescription
image_pathstringyesImage file path or URL
promptstringnoAnalysis instruction (default: describe in detail)
max_sizeintegernoMax dimension in pixels for longest edge (default: 1080)
providerstringnoVision provider connector ID. If omitted, uses default vision model

Images are automatically resized (preserving aspect ratio) before sending to the vision model. Supported formats: PNG, JPEG, GIF, WebP.

image_generate

Generate a new image from a text prompt (text-to-image). For editing an existing image, use image_edit instead.

Basic usage (always specify output):

tai tool image_generate --prompt "A serene mountain landscape at sunset" --output landscape.png

With specific provider, model and size:

tai tool image_generate --prompt "A futuristic city skyline" --provider llm.my-openai --model gpt-image-1 --dimensions 1792x1024 --output output/city.png
ParameterTypeRequiredDescription
promptstringyesText description of the image to generate
outputstringyesOutput file path for the generated image
providerstringnoProvider connector ID (use image_providers to list). Auto-selects if omitted
dimensionsstringnoImage dimensions (default: 1024x1024). Common: 1024x1024, 1024x1792, 1792x1024
modelstringnoModel name to use. Overrides the provider's default model

If output is omitted, the image is saved to a default path in the working directory.

image_edit

Edit or transform an existing image based on a text prompt (image-to-image). Use for style transfer, background replacement, adding/removing elements, or any modification that requires a reference image.

Basic usage:

tai tool image_edit --image_path /path/to/photo.png --prompt "Change the background to a beach scene" --output edited.png

With URL image:

tai tool image_edit --image_path https://example.com/photo.jpg --prompt "Make it look like a watercolor painting" --output watercolor.png

With specific provider and model:

tai tool image_edit --image_path /path/to/original.png --prompt "Remove the person in the foreground" --provider llm.my-openai --model gpt-image-1 --dimensions 1024x1024 --output result.png
ParameterTypeRequiredDescription
image_pathstringyesReference image file path or URL
promptstringyesText description of the desired edit or transformation
outputstringyesOutput file path for the edited image
providerstringnoProvider connector ID (use image_providers with capability=image_editing). Auto-selects if omitted
dimensionsstringnoOutput dimensions (default: 1024x1024). Common: 1024x1024, 1024x1792, 1792x1024
modelstringnoModel name to use. Overrides the provider's default model

If output is omitted, the image is saved to a default path in the working directory.

image_providers

List available image providers filtered by capability.

List image generation providers (default):

tai tool image_providers

List image editing providers:

tai tool image_providers --capability image_editing

List vision (image reading) providers:

tai tool image_providers --capability vision
ParameterTypeRequiredDescription
capabilitystringnoimage_generation (default), image_editing, or vision

Returns a list of providers with their available models and connector IDs that can be passed to image_generate, image_edit, or image_read.

Constraints

Only use the parameters listed above for each tool. Do not pass unsupported parameters (such as quality, style, n, response_format, etc.) — they will be ignored or cause errors.

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