Image Reader
Read, analyze, and describe images from files or URLs.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/yao-image-yaoapp/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
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.
What this skill does
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
| Parameter | Type | Required | Description |
|---|---|---|---|
| image_path | string | yes | Image file path or URL |
| prompt | string | no | Analysis instruction (default: describe in detail) |
| max_size | integer | no | Max dimension in pixels for longest edge (default: 1080) |
| provider | string | no | Vision 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
Transparent background (for icons, stickers, product shots):
tai tool image_generate --prompt "A cute fox mascot" --background transparent --output_format png --output fox.png
WebP output with quality control:
tai tool image_generate --prompt "A landscape painting" --output_format webp --quality high --output painting.webp
| Parameter | Type | Required | Description |
|---|---|---|---|
| prompt | string | yes | Text description of the image to generate |
| output | string | yes | Output file path for the generated image |
| provider | string | no | Provider connector ID (use image_providers to list). Auto-selects if omitted |
| dimensions | string | no | Image dimensions (default: 1024x1024). Common: 1024x1024, 1024x1792, 1792x1024 |
| model | string | no | Model name to use. Overrides the provider's default model |
| background | string | no | transparent, opaque, or auto. Use transparent for PNG/WebP with no background |
| output_format | string | no | png, jpeg, or webp. Default: png |
| output_compression | integer | no | Compression level 0-100 for jpeg/webp. Higher = better quality. Default: 100 |
| quality | string | no | low, medium, high, or auto. Higher takes longer. Default: auto |
| extra | JSON | no | Provider-specific parameters as a JSON object (e.g. --extra '{"moderation":"low"}') |
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
With mask (edit only the masked region):
tai tool image_edit --image_path /path/to/photo.png --mask /path/to/mask.png --prompt "Replace with a garden" --output edited.png
Transparent background edit:
tai tool image_edit --image_path /path/to/product.png --prompt "Remove background" --background transparent --output_format png --output cutout.png
| Parameter | Type | Required | Description |
|---|---|---|---|
| image_path | string | yes | Reference image file path or URL |
| prompt | string | yes | Text description of the desired edit or transformation |
| output | string | yes | Output file path for the edited image |
| provider | string | no | Provider connector ID (use image_providers with capability=image_editing). Auto-selects if omitted |
| dimensions | string | no | Output dimensions (default: 1024x1024). Common: 1024x1024, 1024x1792, 1792x1024 |
| model | string | no | Model name to use. Overrides the provider's default model |
| mask | string | no | Mask image path/URL. Transparent areas in the mask define the editable region |
| background | string | no | transparent, opaque, or auto. Use transparent for PNG/WebP with no background |
| output_format | string | no | png, jpeg, or webp. Default: png |
| output_compression | integer | no | Compression level 0-100 for jpeg/webp. Higher = better quality. Default: 100 |
| quality | string | no | low, medium, high, or auto. Higher takes longer. Default: auto |
| extra | JSON | no | Provider-specific parameters as a JSON object (e.g. --extra '{"input_fidelity":"high"}') |
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
| Parameter | Type | Required | Description |
|---|---|---|---|
| capability | string | no | image_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
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.
Do not pass n, style, or response_format — they are unsupported and will be ignored or cause errors.
For provider-specific parameters not covered above (e.g. moderation, input_fidelity), pass them through the extra JSON object.
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