/Catalogue/Prompt/instavm/instavm-coderunner-image-crop-rotate

Origin: github

image-crop-rotate

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.

by instavm · updated 1mo ago · imported from GitHub

Installs0+0/7d
Security score92/100
Retention 14d0%
GitHub stars893

Skill logic

Execution graph
User message
Prompt rewrites behaviour
Response

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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