youtube-transcript-analyzer

The youtube-transcript-analyzer is an autonomous skill designed for developers, researchers, and technical learners who need to integrate video-based knowledge into their software projects. By leveraging yt-dlp, this tool extracts subtitles or auto-generated transcripts from YouTube URLs, processes them using intelligent chunking, and maps the information to your specific project needs. It eliminates the friction of watching long-form content by distilling hours of video into actionable technical summaries and project-relevant insights.

• Automated transcript extraction using yt-dlp supporting both manual and auto-generated VTT subtitles.

• Intelligent chunking for long-form content, ensuring context is preserved even for videos exceeding 2 hours.

• Metadata retrieval to provide context, including video titles, authors, and channel details.

• Project-specific comparison logic that maps discussed architectures, patterns, and logic directly to your existing codebase.

• Timestamp-indexed reporting that allows users to jump directly to specific implementation details or core concepts discussed in the video.

• Strategic synthesis of themes to highlight key differences between video demonstrations and your current implementation.

• Prerequisites: Requires yt-dlp to be installed on the host system via pip or homebrew.

• Always perform operations within a temporary directory created via mktemp to ensure repository hygiene and avoid file clutter.

• Prioritize English transcripts using --sub-lang en, and verify availability with --list-subs if necessary.

• For videos exceeding 8,000 tokens, use the defined chunking strategy: summarize 15-20 minute segments and generate a 500-word final synthesis.

• When presenting analysis, utilize the structured output format: Video Overview, Key Insights (with timestamps), Relevance to Project, and Specific Recommendations.

• Use this skill to identify patterns, evaluate technical approaches, and learn new frameworks or APIs without needing to scrub through entire tutorials.