watch-cli

Process social videos into architecture diagrams, notebooks, or cheat sheets.

248|66|Updated Apr 29, 2026

Search Tags:#development #education #research #AI agents #video processing

Ready to run

npx skills add https://github.com/sonpiaz/watch-cli --skill watch-cli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: watch-cli
Source: https://github.com/sonpiaz/watch-cli/tree/main
Command: npx skills add https://github.com/sonpiaz/watch-cli --skill watch-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, ffmpeg, jq, curl, python3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you to process social videos and automatically generate artifacts such as architecture diagrams, working components, runnable notebooks, or step-by-step cheat sheets for AI agents.

Core Features & Use Cases

Video Processing: Process videos from YouTube, Twitter, LinkedIn, TikTok, Vimeo, Reddit, and Facebook.
Artifacts Generation: Automatically generate architecture diagrams, working components, runnable notebooks, or step-by-step cheat sheets based on the video content.
Use Case: Imagine you have a video of a coding walkthrough. Use this Skill to generate working project files that you can use to implement the project.

Quick Start

Use the watch-cli skill to process a YouTube video and get a working project file.

Frequently Asked Questions about watch-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate working code and architecture diagrams from a video walkthrough?▼

To generate working code and architecture diagrams from a video walkthrough, you process social video content to automatically extract project files, components, and cheat sheets. This requires yt-dlp, ffmpeg, jq, curl, and python3 to handle video processing.

Can I process YouTube or TikTok videos to create runnable notebooks for AI agents?▼

Yes, you can process YouTube or TikTok videos to create runnable notebooks for AI agents. The workflow supports video extraction from multiple platforms including YouTube, Twitter, LinkedIn, TikTok, Vimeo, Reddit, and Facebook to generate structured artifacts.

Do I need ffmpeg and yt-dlp installed to extract cheat sheets from video content?▼

Yes, you need ffmpeg and yt-dlp installed to extract cheat sheets from video content. These dependencies are strictly required alongside jq, curl, and python3 to successfully process video and audio content for artifact generation.

What is the best way to convert educational videos into step-by-step cheat sheets?▼

The best way to convert educational videos into step-by-step cheat sheets is by using automated video processing workflows. This approach analyzes educational, research, and development video content to automatically generate structured cheat sheets and working components.

Does video processing for AI agent artifacts work with development and research workflows?▼

Video processing for AI agent artifacts works directly with development and research workflows. It processes video content from technical walkthroughs to produce architecture diagrams, working components, and runnable notebooks tailored for these specific use cases.

What are the limitations when generating working components from social videos?▼

Limitations when generating working components from social videos include strict dependencies on yt-dlp, ffmpeg, jq, curl, and python3. Without these specific tools properly configured in your environment, the video processing and artifact generation will fail.