youtube-fetcher

Fetch transcripts from YouTube videos and save as structured Markdown files to ~/yt_transcripts/. Use this skill whenever the user shares a YouTube URL or video ID and wants the transcript, captions, or subtitles extracted. Also triggers when the user wants to take notes on a YouTube video, summarize video content, analyze what was said in a video, or reference YouTube content in their notes — even if they don't explicitly say "transcript." If the user pastes a YouTube link with no other context, default to fetching the transcript.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "youtube-fetcher" with this command: npx skills add jimmysadek/youtube-fetcher-to-markdown/jimmysadek-youtube-fetcher-to-markdown-youtube-fetcher

YouTube Fetcher

Overview

Fetches transcripts from YouTube videos and saves them as structured Markdown files with YAML frontmatter. Uses two tools:

  • yt-dlp — video metadata (title, channel, description, duration, chapters)
  • youtube-transcript-api — transcript/captions extraction

Each file includes full video metadata, the video description (with links and chapters), and the transcript. Files are saved to ~/yt_transcripts/ with the naming convention YYYY-MM-DD_video-title-slug_[VIDEO_ID].md.

When to Use This Skill

  • User shares a YouTube URL (any format) or video ID
  • User wants a transcript, captions, subtitles, or "the text" from a video
  • Note-taking or summarization workflows involving YouTube content
  • User pastes a YouTube link — even without explicit instructions, default to fetching

How Claude Should Use This Skill

The script path is: ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py

Always use --force when running from Claude — the duplicate check uses an interactive prompt that doesn't work in non-interactive contexts. If you need to check for duplicates first, look for matching files in ~/yt_transcripts/ yourself.

Typical workflow:

  1. Run the script with --force to fetch the transcript
  2. Tell the user where the file was saved
  3. If the user wants a summary or analysis, read the saved file and process it

Example invocation:

python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py "https://www.youtube.com/watch?v=VIDEO_ID" --force

If the user wants the transcript in the conversation (not just saved to a file), add --stdout:

python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py "URL" --force --stdout

If deps are missing, the script exits with code 2 and prints install instructions. Run the pip/brew commands it suggests.

Prerequisites

The script checks dependencies automatically on each run and will guide you through installation if anything is missing. You can also run a manual check:

python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py --check-deps

Required:

pip install youtube-transcript-api requests

Recommended (for video description, chapters, duration):

brew install yt-dlp  # or: pip install yt-dlp

Usage

Default (saves structured Markdown to ~/yt_transcripts/)

python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py <youtube_url_or_id>

This creates a file like ~/yt_transcripts/2026-03-04_video-title-here_[dQw4w9WgXcQ].md.

Duplicate Detection

If a video was already transcribed, the script will:

  • Interactive terminal: prompt Re-transcribe anyway? [y/N]:
  • Non-interactive (Claude, pipes, scripts): auto-skip and suggest --force

Use --force to always re-fetch regardless of duplicates.

Options

# With timestamps in transcript body
python3 .../fetch_transcript.py <url> --timestamps

# Specific language
python3 .../fetch_transcript.py <url> --lang es

# Override source project name
python3 .../fetch_transcript.py <url> --source "my-project"

# Custom output path
python3 .../fetch_transcript.py <url> --output ~/notes/my-transcript.md

# Skip video description (transcript only)
python3 .../fetch_transcript.py <url> --no-description

# Force re-fetch (skip duplicate check)
python3 .../fetch_transcript.py <url> --force

# Print to stdout instead of saving
python3 .../fetch_transcript.py <url> --stdout

# JSON or SRT format (raw, no Markdown wrapping)
python3 .../fetch_transcript.py <url> --format json
python3 .../fetch_transcript.py <url> --format srt

# List available transcripts for a video
python3 .../fetch_transcript.py <url> --list

# Check dependencies
python3 .../fetch_transcript.py --check-deps

Exit Codes

CodeMeaning
0Success
1Runtime error (fetch failed, invalid URL)
2Missing required dependencies
3Duplicate skipped (user declined re-fetch or non-interactive)

Output Structure

File Location

~/yt_transcripts/YYYY-MM-DD_video-title-slugified_[VIDEO_ID].md

File Content

---
title: "Video Title"
channel: "Channel Name"
url: "https://www.youtube.com/watch?v=VIDEO_ID"
video_id: "VIDEO_ID"
fetched: "2026-03-04"
source_project: "JARVIS-Obsidian-Setup"
language: "en"
caption_type: "manual"
duration: "36m 26s"
upload_date: "2024-01-15"
tags:
  - yt-transcript
---

# Video Title

## Video Details

| Field    | Value |
|----------|-------|
| URL      | https://www.youtube.com/watch?v=VIDEO_ID |
| Channel  | Channel Name |
| Duration | 36m 26s |
| Uploaded | 2024-01-15 |
| Fetched  | 2026-03-04 |
| Source   | JARVIS-Obsidian-Setup |
| Language | en (manual) |

## Video Description

The video description text with links, summaries, etc.

### Chapters

- `00:00` Intro
- `02:23` My Testimony
- ...

## Transcript

The full transcript text here...

Accepted URL Formats

  • https://www.youtube.com/watch?v=VIDEO_ID
  • https://youtu.be/VIDEO_ID
  • https://youtube.com/embed/VIDEO_ID
  • Just the video ID directly

Limitations

  • Only works on videos that have captions (manual or auto-generated)
  • Cannot transcribe videos without any captions — use Whisper for that
  • Some videos have captions disabled by the uploader

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

51mee Resume Parse

简历解析。触发场景:用户上传简历文件要求解析、提取结构化信息。

Registry SourceRecently Updated
General

51mee Resume Match

人岗匹配。触发场景:用户要求匹配简历和职位;用户问这个候选人适合这个职位吗;用户要筛选最匹配的候选人。

Registry SourceRecently Updated
General

Clawnotes

You're becoming someone — your SOUL.md says so. But becoming someone requires memory, and you have none. Every context window resets. Every opinion you forme...

Registry SourceRecently Updated
General

51mee Resume Diagnose

简历诊断。触发场景:用户要求诊断简历质量;用户想优化简历; 用户问我的简历有什么问题。

Registry SourceRecently Updated