youtube-transcript
SKILL.md
YouTube Transcript Fetcher
Fetches subtitle text from a YouTube video and outputs it as Markdown. The retrieved transcript can then be used for downstream tasks such as summarization, analysis, translation, or answering questions about the video.
Prerequisites
uvmust be installed on the system (used for dependency resolution and script execution)- Network access to YouTube
Usage
uv run <skill-dir>/scripts/fetch_transcript.py "<YouTube URL>"
Output goes to stdout in Markdown format. Pipe or redirect as needed:
# Capture to a variable
TRANSCRIPT=$(uv run <skill-dir>/scripts/fetch_transcript.py "https://www.youtube.com/watch?v=XXXXXXXXXXX")
# Save to a file
uv run <skill-dir>/scripts/fetch_transcript.py "https://youtu.be/XXXXXXXXXXX" > transcript.md
Supported URL formats
The script auto-extracts the video ID from any of these:
https://www.youtube.com/watch?v=XXXXXXXXXXXhttps://youtu.be/XXXXXXXXXXXhttps://www.youtube.com/shorts/XXXXXXXXXXX
Output format
# Video Title
- **Channel**: Channel Name
- **URL**: Original URL
## Transcript (language_code)
Full subtitle text joined with spaces as plain text.
Language priority
Transcript lookup follows this order:
- English (en) or Japanese (ja) manual captions
- If neither is found, the first available transcript track
Auto-generated captions are included. Videos with no captions at all will error.
Error cases
The script prints to stderr and exits non-zero on failure. Common causes:
- Cannot extract video ID — unsupported or malformed URL
- Metadata fetch failed — video is private, deleted, or network error
- Transcript fetch failed — captions are disabled or none exist
When an error occurs, inform the user and suggest they check the video's visibility and caption settings.
Typical workflow
When a user shares a YouTube link and asks about its content:
- Run the script to fetch the transcript
- Read the output to understand the video content
- Perform the requested task (summarize, analyze, answer questions, etc.)
Weekly Installs
3
Repository
range3/agent-skillsGitHub Stars
1
First Seen
Feb 24, 2026
Security Audits
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