youtube-knowledge-extractor
Multimodal YouTube video analysis through both audio (transcript) and visual (frame extraction + image analysis) channels. Especially powerful for HowTo videos, tutorials, demos, and explainer videos where what is SHOWN (screenshots, UI demos, diagrams, code, physical actions) is just as important as what is SAID. Use this skill whenever a user wants to analyze, summarize, or create step-by-step guides from YouTube videos, or when they share a YouTube URL and want to understand what happens in the video. Triggers on requests like "Analyze this YouTube video", "Create a step-by-step guide from this video", "What does this video show?", "Summarize this tutorial", or any YouTube URL shared with analysis intent.
Why use this skill?
Analyze YouTube videos with multimodal AI. Extract transcripts, sync with visual keyframes, and generate accurate step-by-step guides from tutorials and demos.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/sdrabent/youtube-knowledge-extractorWhat This Skill Does
The youtube-knowledge-extractor is an advanced AI agent skill designed for deep, multimodal analysis of YouTube content. Unlike basic tools that only ingest video transcripts, this skill performs synchronized analysis of both audio and visual channels. By extracting keyframes and processing them alongside time-coded transcripts, it maps spoken instructions to actual on-screen activity. This allows the AI to interpret complex technical information, such as specific UI elements, code blocks, physical actions, and diagrams, providing users with accurate, context-aware information. It is essentially a vision-enabled researcher that watches the video as a human would, allowing for precise step-by-step reconstructions of tutorials and demos.
Installation
To integrate this capability into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/sdrabent/youtube-knowledge-extractor
Use Cases
This skill is highly versatile for educational and professional workflows:
- Technical Tutorials: Turn a 30-minute coding video into a structured list of actionable steps with relevant screenshots.
- UI/UX Audits: Analyze software walkthroughs to identify design patterns or specific button locations described by the narrator.
- How-To Summarization: Distill long DIY or home improvement videos into a concise checklist of tools and steps.
- Explainer Videos: Gain a deeper understanding of complex diagrams or abstract concepts explained through on-screen whiteboarding.
Example Prompts
- "I am trying to follow this tutorial: [URL]. Can you create a step-by-step guide for me, highlighting exactly where to click in the software interface?"
- "Analyze this video [URL] and summarize the top 5 key takeaways. Please mention any specific code snippets shown on the screen."
- "What is the main problem being solved in this YouTube video [URL]? Provide a summary of the steps taken by the creator to fix the issue."
Tips & Limitations
- Rate Limiting: The skill is designed to avoid common YouTube 429 errors by using a robust two-step subtitle extraction process. If a video is extremely long, analysis may take additional time.
- Data Accuracy: Ensure the video has either manual or auto-generated captions for the best results, as the transcript serves as the backbone for the visual synchronization.
- Quality: Performance improves significantly with higher-resolution source videos, as frame analysis relies on the clarity of the visual input.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-sdrabent-youtube-knowledge-extractor": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api
Related Skills
youtube-video-analyzer
Multimodal YouTube video analysis through both audio (transcript) and visual (frame extraction + image analysis) channels. Especially powerful for HowTo videos, tutorials, demos, and explainer videos where what is SHOWN (screenshots, UI demos, diagrams, code, physical actions) is just as important as what is SAID. Use this skill whenever a user wants to analyze, summarize, or create step-by-step guides from YouTube videos, or when they share a YouTube URL and want to understand what happens in the video. Triggers on requests like "Analyze this YouTube video", "Create a step-by-step guide from this video", "What does this video show?", "Summarize this tutorial", or any YouTube URL shared with analysis intent.
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