What does image-crop-rotate do?

It crops an image to 50% of its original size from the center, then rotates the result 90° clockwise using a single Python script that leverages PIL/Pillow.

Where are inputs and outputs located?

Inputs come from /mnt/user-data/uploads/ and processed images are saved to /mnt/user-data/outputs/.

Which formats are supported?

Any format supported by PIL/Pillow (e.g., JPEG, PNG, GIF, BMP, TIFF, etc.).

image-crop-rotate

Scanned

npx machina-cli add skill instavm/coderunner/image-crop-rotate --openclaw

Files (1)

SKILL.md

2.3 KB

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

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

Crops the image to 50% of its original size, centered
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:

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

Source

git clone https://github.com/instavm/coderunner/blob/main/skills/public/image-crop-rotate/SKILL.mdView on GitHub

Overview

This skill crops an image to 50% of its original size from the center and then rotates it 90 degrees clockwise using PIL/Pillow. It provides a reliable, single-script workflow for centered cropping and rotation, ideal for preparing profile photos, thumbnails, or banners.

How This Skill Works

A single Python script (crop_and_rotate.py) opens the input image, crops it to 50% from the center, then rotates the result 90° clockwise, and saves the output. It reads inputs from /mnt/user-data/uploads/ and writes results to /mnt/user-data/outputs/, printing processing details such as original, cropped, and final sizes.

When to Use It

User requests cropping an image to 50% from the center
User requests rotating an image 90 degrees clockwise
User needs both center cropping and rotation in one operation
Processing an uploaded image and saving the result for sharing
Ensuring output is in a PIL/Pillow-supported format (e.g., JPEG, PNG, GIF, BMP, TIFF)

Quick Start

Step 1: Ensure your input image is in /mnt/user-data/uploads/
Step 2: Run: python scripts/crop_and_rotate.py <input_path> <output_path>
Step 3: Move the result to /mnt/user-data/outputs/ and share with the user

Best Practices

Ensure the input file exists in /mnt/user-data/uploads/ before running
Verify the script path and that python has permission to read/write in the input/output folders
Test with a sample image to confirm crop size and orientation are correct
Check that the output format matches the desired delivery format (JPEG/PNG, etc.)
Always save the result to /mnt/user-data/outputs/ and share from there

Example Use Cases

Profile photo: 1000x800 image -> center crop to 500x400, then rotate to 400x500 for a vertical portrait
Product image: 1200x900 -> crop 600x450 -> rotate to 450x600 for catalog thumbnails
Logo asset: 800x600 -> crop 400x300 -> rotate to 300x400 for square-friendly branding
Social post image: single-step crop+rotate to fit platform aspect while preserving the subject center
Quick preview: run on a test image in uploads to confirm output in outputs before final usage

Frequently Asked Questions

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