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chenzixin1
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watchless

Convert YouTube URLs or local videos into HTML, PDF, and ZIP documentation.

121|8|Updated Jul 11, 2026
Search Tags:#automation#documentation#knowledge management#video#youtube#transcription
One-click install
npx skills add https://github.com/chenzixin1/watchless --skill watchless
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: watchless
Source: https://github.com/chenzixin1/watchless/tree/main
Command: npx skills add https://github.com/chenzixin1/watchless --skill watchless

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, yt-dlp, requests, moviepy, numpy, scikit-image, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

Watchless solves the problem of information loss and inefficiency in video-based learning by transforming long-form videos into structured, searchable, and shareable visual documents.

Core Features & Use Cases

  • Semantic Segmentation: Automatically divides videos into logical units based on content flow rather than fixed time intervals.
  • Visual Evidence Preservation: Captures keyframes, charts, and UI states to ensure the reader has the same visual context as the viewer.
  • Multi-Format Output: Generates clean, polished text, HTML, PDF, and ZIP archives for easy reference and sharing.
  • Use Case: Convert a complex 60-minute technical podcast or a dense research paper explainer into a 5-minute read with all the original diagrams and key arguments preserved.

Quick Start

Use the watchless skill to process the YouTube video at the provided URL into a complete visual article with keyframes and polished text.

Frequently Asked Questions about watchless

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

FAQPage Schema
How do I convert a YouTube video into a visual article with keyframes?▼

The Skill transforms YouTube URLs or local video files into screenshot-led documentation by performing semantic segmentation and keyframe extraction. It outputs comprehensive visual articles in HTML, PDF, and ZIP formats.

What dependencies do I need to run local video transcription and keyframe extraction?▼

You need local execution environments for ffmpeg, yt-dlp, and Volcengine ASR to perform video transcription and keyframe extraction. These dependencies maintain data privacy and content integrity during the documentation process.

Does semantic segmentation for video documentation work better than fixed time intervals?▼

Yes, semantic segmentation divides videos into logical units based on content flow rather than fixed time intervals. This approach captures meaningful keyframes and charts, ensuring visual context is preserved for technical explainers and podcasts.

Can I process local video files or am I limited to YouTube URLs for transcription?▼

You can process both local video files and YouTube URLs for transcription. The Skill supports diverse content types including technical explainers, interviews, podcasts, and product demonstrations into searchable visual documents.

What is the best way to turn a 60-minute technical podcast into a 5-minute read?▼

The best way to turn a 60-minute technical podcast into a 5-minute read is using semantic segmentation to extract key arguments and visual evidence. This process generates structured, searchable visual documents with original diagrams preserved.

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