image-crop-rotate

# 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: ```bash 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:** ```bash 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 ```bash # 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