youtube-transcript-analyzer_skill

Overview

This skill downloads and analyzes YouTube video transcripts to extract actionable insights, technical concepts, and timestamps relevant to your work. It uses yt-dlp for reliable transcript extraction and applies intelligent chunking and summarization for long-form videos. The output connects video content to codebases, projects, or research questions and gives targeted recommendations.

How this skill works

The skill uses yt-dlp to fetch auto-generated or manual subtitles and video metadata into a temporary directory. It parses transcripts, splits long transcripts into logical chunks by timestamp or topic, summarizes each chunk, and synthesizes an overall analysis focused on relevance to your project or question. Results include video overview, timestamped key insights, relevance analysis, and concrete recommendations.

When to use it

• You need to understand how a tutorial or talk applies to your current project.
• Researching technical concepts explained in video format rather than reading papers.
• Extracting key insights from long talks or conference presentations without watching fully.
• Comparing an instructor’s approach with your codebase or architecture.
• Learning implementation details and code patterns demonstrated in videos.

Best practices

• Always run yt-dlp into a temporary directory to avoid clutter and keep artifacts isolated.
• Prefer manual subtitles when available (--write-sub) for higher accuracy; fall back to auto subs otherwise.
• For transcripts over ~8,000 tokens, chunk by 15–20 minute segments and summarize each before synthesizing.
• Reference timestamps for every key insight so you can jump directly to the video moment.
• Focus analysis on practical applications and concrete code patterns rather than verbatim summaries.

Example use cases

• Summarize a 90-minute tutorial into actionable steps and code snippets tied to timestamps.
• Compare a presenter’s architecture with your repository and list concrete differences to address.
• Extract the main techniques from a research talk and map them to potential experiments for your project.
• Identify and note timestamps of demonstrations for quick team review or training materials.
• Produce a concise synthesis of multiple related videos to inform design decisions.