{"slug":"yao-image","title":"yao-image","summary":"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.","platform":"Claude","tags":[],"authorName":"LLM Mart","authorSlug":"llm-mart","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-09-03T16:10:44.292744Z","repo":{"url":"https://github.com/YaoApp/yao","stars":7998,"forks":716,"license":null,"updatedAt":"2026-09-22T12:36:23Z"},"bodyHtml":"
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name: yao-image\ndescription: 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

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

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image_read

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

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Local file (most common):

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tai tool image_read --image_path /path/to/image.png --prompt \"Describe this image\"\n
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URL:

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tai tool image_read --image_path https://example.com/photo.jpg --prompt \"What is shown?\"\n
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With a specific vision provider:

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tai tool image_read --image_path /path/to/image.png --prompt \"Describe\" --provider llm.my-openai:gpt-4o\n
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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
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Images are automatically resized (preserving aspect ratio) before sending to the vision model.\nSupported formats: PNG, JPEG, GIF, WebP.

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image_generate

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

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Basic usage (always specify output):

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tai tool image_generate --prompt \"A serene mountain landscape at sunset\" --output landscape.png\n
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With specific provider, model and size:

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tai tool image_generate --prompt \"A futuristic city skyline\" --provider llm.my-openai --model gpt-image-1 --dimensions 1792x1024 --output output/city.png\n
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Transparent background (for icons, stickers, product shots):

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tai tool image_generate --prompt \"A cute fox mascot\" --background transparent --output_format png --output fox.png\n
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WebP output with quality control:

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tai tool image_generate --prompt \"A landscape painting\" --output_format webp --quality high --output painting.webp\n
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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
backgroundstringnotransparent, opaque, or auto. Use transparent for PNG/WebP with no background
output_formatstringnopng, jpeg, or webp. Default: png
output_compressionintegernoCompression level 0-100 for jpeg/webp. Higher = better quality. Default: 100
qualitystringnolow, medium, high, or auto. Higher takes longer. Default: auto
extraJSONnoProvider-specific parameters as a JSON object (e.g. --extra '{\"moderation\":\"low\"}')
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If output is omitted, the image is saved to a default path in the working directory.

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image_edit

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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.

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Basic usage:

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tai tool image_edit --image_path /path/to/photo.png --prompt \"Change the background to a beach scene\" --output edited.png\n
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With URL image:

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tai tool image_edit --image_path https://example.com/photo.jpg --prompt \"Make it look like a watercolor painting\" --output watercolor.png\n
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With specific provider and model:

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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\n
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With mask (edit only the masked region):

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tai tool image_edit --image_path /path/to/photo.png --mask /path/to/mask.png --prompt \"Replace with a garden\" --output edited.png\n
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Transparent background edit:

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tai tool image_edit --image_path /path/to/product.png --prompt \"Remove background\" --background transparent --output_format png --output cutout.png\n
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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
maskstringnoMask image path/URL. Transparent areas in the mask define the editable region
backgroundstringnotransparent, opaque, or auto. Use transparent for PNG/WebP with no background
output_formatstringnopng, jpeg, or webp. Default: png
output_compressionintegernoCompression level 0-100 for jpeg/webp. Higher = better quality. Default: 100
qualitystringnolow, medium, high, or auto. Higher takes longer. Default: auto
extraJSONnoProvider-specific parameters as a JSON object (e.g. --extra '{\"input_fidelity\":\"high\"}')
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If output is omitted, the image is saved to a default path in the working directory.

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image_providers

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List available image providers filtered by capability.

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List image generation providers (default):

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tai tool image_providers\n
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List image editing providers:

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tai tool image_providers --capability image_editing\n
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List vision (image reading) providers:

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tai tool image_providers --capability vision\n
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ParameterTypeRequiredDescription
capabilitystringnoimage_generation (default), image_editing, or vision
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Returns a list of providers with their available models and connector IDs that can be passed to image_generate, image_edit, or image_read.

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Constraints

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Use only the parameters listed above for each tool. The supported first-class parameters are: prompt, output, provider, dimensions, model, background, output_format, output_compression, quality, mask (edit only), and extra.

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Do not pass n, style, or response_format — they are unsupported and will be ignored or cause errors.

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For provider-specific parameters not covered above (e.g. moderation, input_fidelity), pass them through the extra JSON object.

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