Process social videos into architecture diagrams, notebooks, or cheat sheets.
npx skills add https://github.com/sonpiaz/watch-cli --skill watch-cli
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
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.
Use the watch-cli skill to process a YouTube video and get a working project file.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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