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attach-image

Load an on-disk image (PNG, JPEG, GIF, WebP) into the model's context as a viewable attachment so the model can directly SEE it — for screenshots, diagrams, charts, photos, or scanned pages. Use this when you need to perceive an image's visual contents. Requires a vision-capable model; errors clearly otherwise.

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CaseMark/prime-linc
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5. August 2026 um 20:50
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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
attach-image
description
Load an on-disk image (PNG, JPEG, GIF, WebP) into the model's context as a viewable attachment so the model can directly SEE it — for screenshots, diagrams, charts, photos, or scanned pages. Use this when you need to perceive an image's visual contents. Requires a vision-capable model; errors clearly otherwise.
# Attach Image Load on-disk images into the model's context as multimodal attachments. The image is sent to the model the same way a pasted image is, so the model can actually look at it. ## When to use this - The user points at an image file and wants you to look at it. - You need to read text, a chart, a diagram, or a layout from an image. - A screenshot needs visual interpretation. ## When NOT to use this For *programmatic* work on an image — measuring pixels, cropping, resizing, computing a hash, comparing files byte-by-byte — open it in the kernel with a library instead: ```python from PIL import Image img = Image.open("diagram.png") print(img.size) ``` That path does not put the image in the model's context; it only lets you compute over it. Use `attach_image` when you need to *see* the image. ## Usage Call the prepared `attach_image` import directly in the IPython kernel: ```python print(await attach_image("diagram.png")) print(await attach_image("a.png", "b.jpg")) ``` The skill automatically resizes and compresses large images before loading them into context. Animated images that need compression are flattened to their first frame. Transparent images that need compression are composited onto a neutral gray background. Extremely large images are rejected by pixel count before full processing. The original file is left untouched. Supported formats: PNG, JPEG, GIF, WebP. The skill errors if a file is not a supported image, or if the current model is not vision-capable.
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