·opencv

Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.

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Installation

$npx skills add https://github.com/tondevrel/scientific-agent-skills --skill opencv

SKILL.md

OpenCV (Open Source Computer Vision Library) is the de facto standard library for computer vision tasks. It provides 2500+ optimized algorithms for real-time image and video processing, from basic operations like reading images to advanced tasks like face recognition and 3D reconstruction.

Official docs: https://docs.opencv.org/4.x/ GitHub: https://github.com/opencv/opencv Tutorials: https://docs.opencv.org/4.x/d9/df8/tutorialroot.html Search patterns: cv2.imread, cv2.cvtColor, cv2.Canny, cv2.findContours, cv2.VideoCapture

Image as NumPy Array OpenCV represents images as NumPy arrays with shape (height, width, channels). This allows seamless integration with NumPy operations and other scientific Python libraries.

Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task. Source: tondevrel/scientific-agent-skills.

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Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/tondevrel/scientific-agent-skills --skill opencv
Category
*Creative Media
Verified
First Seen
2026-02-17
Updated
2026-02-18

Quick answers

What is opencv?

Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task. Source: tondevrel/scientific-agent-skills.

How do I install opencv?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill opencv Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/tondevrel/scientific-agent-skills

Details

Category
*Creative Media
Source
skills.sh
First Seen
2026-02-17