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Image crop rotate

Skill instavm/coderunner/skills/public/image-crop-rotate

A local sandbox for your AI agents

Install
npx -y skills add instavm/coderunner --skill image-crop-rotate

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What its author says it does

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Image processing skill for cropping images to 50% from center and rotating them 90 degrees clockwise. This skill should be used when users request image cropping to center, image rotation, or both operations combined on image files.

SKILL.md

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Image Crop and Rotate

Overview

This skill provides functionality to crop images to 50% of their original size from the center and rotate them 90 degrees clockwise. It uses a reliable Python script with PIL/Pillow for consistent, high-quality image processing.

When to Use This Skill

Use this skill when the user requests:

  • Cropping an image to 50% from the center
  • Rotating an image 90 degrees (clockwise)
  • Both cropping and rotating an image
  • Image processing tasks that combine center cropping with rotation

How to Use This Skill

Overview

The skill provides a single script that performs both operations: cropping to 50% from center and rotating 90 degrees clockwise.

Process

  1. Identify the input image: Locate the user's uploaded image file in /mnt/user-data/uploads/

  2. Execute the script: Run the crop_and_rotate.py script with input and output paths:

    python scripts/crop_and_rotate.py <input_path> <output_path>
    
  3. Provide the result: Move the processed image to /mnt/user-data/outputs/ and share it with the user

Script Details

scripts/crop_and_rotate.py

This script performs two operations in sequence:

  1. Crops the image to 50% of its original size, centered
  2. Rotates the cropped image 90 degrees clockwise

Usage:

python scripts/crop_and_rotate.py input.jpg output.jpg

Arguments:

  • First argument: Path to input image
  • Second argument: Path to save processed image

Supported formats: Any format supported by PIL/Pillow (JPEG, PNG, GIF, BMP, TIFF, etc.)

Output: The script prints processing details including original size, cropped size, and final size

Example Workflow

# Process an uploaded image
python /mnt/user-data/skills/image-crop-rotate/scripts/crop_and_rotate.py \
    /mnt/user-data/uploads/photo.jpg \
    /mnt/user-data/outputs/photo_processed.jpg

The script will:

  1. Open the input image
  2. Crop it to 50% from the center (e.g., 1000x800 → 500x400)
  3. Rotate the cropped image 90° clockwise (e.g., 500x400 → 400x500)
  4. Save the result to the output path

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