youtube-analysis
Analyze YouTube video transcripts to extract summaries, key takeaways, and insights. Use when the user mentions YouTube, video transcript, video analysis, provides a YouTube URL, or wants to analyze a .txt file containing a video transcript.
When & Why to Use This Skill
The YouTube Video Transcript Analysis skill is a high-efficiency tool designed to automate the extraction and synthesis of information from YouTube content. By integrating with yt-dlp to fetch transcripts directly from URLs or processing local files, it transforms long-form video data into structured, actionable reports. This skill is optimized for users needing to distill complex video information into concise summaries, key takeaways, and organized notes, significantly reducing the time spent on manual content consumption.
Use Cases
- Academic & Self-Learning: Convert lengthy educational lectures or tutorials into structured study guides and summaries for efficient revision.
- Professional Research: Extract key insights and action items from industry webinars, conference recordings, or expert interviews without watching the full video.
- Content Strategy: Analyze competitor videos or trending topics to quickly identify core messages and notable quotes for content repurposing.
- Meeting & Webinar Documentation: Generate formal reports from recorded sessions hosted on YouTube, including timestamps and specific action items.
| name | youtube-analysis |
|---|---|
| description | Analyze YouTube video transcripts to extract summaries, key takeaways, and insights. Use when the user mentions YouTube, video transcript, video analysis, provides a YouTube URL, or wants to analyze a .txt file containing a video transcript. |
YouTube Video Transcript Analysis
Analyze YouTube video transcripts to generate structured reports with summaries, key takeaways, notable quotes, and action items.
When to Use
Activate this skill when the user:
- Mentions "YouTube", "video", "transcript", or "video analysis"
- Provides a YouTube URL to analyze
- Wants to analyze a text file containing a video transcript
- Asks for a summary of a video they watched
- Provides a file path to a transcript
Input Detection
The user can provide either:
- YouTube URL - Contains
youtube.com/watch,youtu.be/, oryoutube.com/shorts/ - File path - Path to a transcript file (e.g.,
inbox/video.txt)
Instructions
Step 0: Identify Input Type
Determine if the user provided a YouTube URL or file path.
Step 1A: Fetch Transcript (URL Input)
If the user provided a YouTube URL:
- Run yt-dlp to download the transcript:
yt-dlp --write-auto-sub --write-sub --sub-lang en --skip-download --convert-subs srt -o "inbox/%(title)s" "<URL>" - Look for the output file in
inbox/(format:<video-title>.en.srt) - If successful, proceed with the transcript file
- Store the original YouTube URL for the report's Source field
Error handling:
- If yt-dlp not found: Tell user "yt-dlp not installed. Install with: pip install yt-dlp"
- If no captions available: Tell user "No English captions found for this video"
- If network error: Tell user "Failed to fetch transcript. Check URL and connection."
Step 1B: Read Transcript (File Path Input)
If the user provided a file path:
- Ask the user for the file path if not provided
- Read the transcript file at the path provided
- If file not found: Tell user and suggest checking the path
Step 2: Read Analysis Prompt
Read the analysis prompt from prompts/yt.md
Step 3: Extract Video Title
- From SRT file: Parse the filename (remove
.en.srtsuffix) - From transcript content: Look for video title in first few lines
- If unclear: Ask user for the title
Step 4: Generate Analysis
Generate analysis following the prompt structure exactly
Step 5: Save the Report
Save to reports/youtube/YYYY-MM-DD_sanitized-title.md where:
- YYYY-MM-DD is today's date
- sanitized-title is the title in lowercase, spaces replaced with hyphens, special chars removed
Step 6: Update Activity Log
Update the activity log at logs/YYYY-MM-DD.md:
- Create file if it doesn't exist
- Add entry under "## Videos Watched" section
- Format:
- [Title](../reports/youtube/filename.md) - HH:MM
Step 7: Confirm to User
Tell user what was saved and where
Report Format
Include this header in the report:
# [Video Title]
**Source**: [YouTube URL or file path]
**Date**: YYYY-MM-DD
**Type**: YouTube Video
---
[Analysis content following prompts/yt.md structure]
---
## My Notes
[Empty space for user notes]
Error Handling
- If yt-dlp not installed: Tell user how to install it
- If no captions available: Inform user and suggest alternatives
- If file not found: Tell user and suggest checking the path
- If file is empty: Inform user and ask if they want to proceed
- If prompts/yt.md missing: Use a basic summary structure
Related
- Slash command equivalent:
/yt <url-or-filepath> - Prompt file:
prompts/yt.md - Output location:
reports/youtube/ - Transcript location:
inbox/(for downloaded transcripts)