youtube-video-analyzer

What This Skill Does

The youtube-video-analyzer is a powerful multimodal agent skill designed to bridge the gap between spoken audio and visual content in YouTube videos. While standard tools focus exclusively on transcripts, this skill performs deep analysis by synchronizing time-stamped text with extracted video frames. By capturing keyframes at strategic intervals, the skill can observe UI changes, diagrams, code blocks, and physical actions, allowing it to "see" exactly what the creator is demonstrating. This makes it an essential tool for parsing complex "How-To" content, software tutorials, and educational explainers where the visual context is as critical as the narrative. It extracts metadata, fetches robust transcript files, and maps them to visual artifacts for highly accurate information retrieval.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/sdrabent/youtube-video-analyzer

Use Cases

• Technical Documentation: Automatically generate step-by-step guides from long coding tutorials.
• UI/UX Audits: Analyze software demonstration videos to document button locations and flow patterns.
• Learning & Summarization: Quickly summarize long-form educational videos by correlating spoken concepts with the visual slides or diagrams provided on screen.
• Accessibility: Create text-based summaries of visual-heavy instructional content for users who prefer reading over watching.

Example Prompts

1. "Analyze this YouTube video and create a step-by-step guide for installing the software shown in the demo: [URL]"
2. "What are the key takeaways from this video, and can you describe the UI layout being shown at the 5-minute mark? [URL]"
3. "Summarize this tutorial video into a quick-reference list, ensuring you capture all the code snippets and command lines mentioned. [URL]"

Tips & Limitations

• Rate Limiting: The skill utilizes a robust two-step subtitle retrieval process to avoid YouTube's HTTP 429 rate limits, ensuring more reliable performance than standard downloaders.
• Processing Time: Analysis depends on video length; longer videos require more time for frame extraction and OCR/image processing.
• Visual Quality: Clarity of results depends on frame resolution; high-definition source material yields significantly better results for text-based analysis (e.g., reading code or UI text).