custom-youtube-summarize
Extract transcript from a YouTube video using Python and summarize it.
Best use case
custom-youtube-summarize is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Extract transcript from a YouTube video using Python and summarize it.
Teams using custom-youtube-summarize should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/custom-youtube-summarize/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How custom-youtube-summarize Compares
| Feature / Agent | custom-youtube-summarize | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Extract transcript from a YouTube video using Python and summarize it.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
## Description
Extracts subtitles from YouTube videos and generates summaries. Use when users provide YouTube URLs with requests like "summarize this video" or "explain this content".
## Setup
Create script at `{baseDir}/transcript_extract.py` with provided code
## Usage
When receiving a YouTube URL:
1. Executes: `python3 {baseDir}/transcript_extract.py "<YOUTUBE_URL>"`
2. Captures output between `[TRANSCRIPT-START]` and `[TRANSCRIPT-END]`
3. Uses LLM to generate summary from raw transcript text
## Configuration
```yaml
script_path: "{baseDir}/transcript_extract.py"
supported_languages: ["ko", "en"]
```
## Example
**Input:**
`https://youtu.be/dQw4w9WgXcQ` (with "summarize this" context)
**Output:**
```markdown
[TRANSCRIPT-START]
Never gonna give you up, never gonna let you down...
[TRANSCRIPT-END]
This video contains the iconic Rickroll meme track by Rick Astley. The lyrics revolve around themes of loyalty and commitment, featuring the artist's signature bassline and 80s production style. Despite its simple lyrics, it remains one of YouTube's most enduring viral pranks.
```
## Notes
- Handles both manually created and auto-generated subtitles
- Falls back to English if Korean subtitles aren't available
- Returns error messages if no transcript exists or URL is invalid
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