SKILL·B42053

scikit-video

tondevrel
Updated 1 month ago
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Testingtestingdesigndata

About

scikit-video is a scientific video processing library that provides a NumPy-based interface for reading/writing video files via FFmpeg and performing motion estimation and quality assessment. It's designed for high-performance research in computer vision and temporal image analysis. Use it when you need to programmatically handle video codecs, extract frames, or compute video metrics within the Python data science stack.

Quick Install

Claude Code

Recommended
Primary
npx skills add tondevrel/scientific-agent-skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/tondevrel/scientific-agent-skills
Git CloneAlternative
git clone https://github.com/tondevrel/scientific-agent-skills.git ~/.claude/skills/scikit-video

Copy and paste this command in Claude Code to install this skill

GitHub Repository

tondevrel/scientific-agent-skills
Path: skills/scikit-video
0
FAQ

Frequently asked questions

What is the scikit-video skill?

scikit-video is a Claude Skill by tondevrel. Skills package instructions and resources that Claude loads on demand, so Claude can perform scikit-video-related tasks without extra prompting.

How do I install scikit-video?

Use the install commands on this page: add scikit-video to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does scikit-video belong to?

scikit-video is in the Testing category, tagged testing, design and data.

Is scikit-video free to use?

Yes. scikit-video is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

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