image-resizer

name	image_resizer
description	Use this skill to resize images via OpenCV.

Image Resizer

This skill enables an agent to resize and rescale images using OpenCV.

Overview

The skill supports:

• Resize by explicit dimensions
• Resize while preserving aspect ratio
• Scale images up or down using factors
• Select interpolation methods for quality vs. speed trade-offs

Interpolation determines how pixel values are computed during resizing. Common interpolation methods are:

• INTER_NEAREST → fastest, lowest quality
• INTER_LINEAR → balanced default
• INTER_CUBIC → smoother high-quality upscaling
• INTER_AREA → best for shrinking images
• INTER_LANCZOS4 → high-quality scaling preserving detail

Installation

If OpenCV isn't installed, install OpenCV via the following command:

pip install opencv-python -q

Core Concept

OpenCV provides the following function:

cv2.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]])

• src – input image
• dsize – target size (width, height)
• fx, fy – x and y scaling factors (used when dsize=None)
• interpolation – method for computing pixel values during scaling

The function returns a resized NumPy image that can be displayed, saved, or further processed.

Use either explicit size (dsize) or scaling factors (fx, fy), not both simultaneously.