glebis/youtube-transcript
youtube-transcript/SKILL.md
Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
$ install --global
skillsauthnpx skillsauth add glebis/claude-skills youtube-transcriptInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 8:07 PM116.7s1 file scanned
SKILL.md
- name:
- youtube-transcript
- description:
- Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
YouTube Transcript
Overview
Extract YouTube video transcripts, metadata, and chapters using yt-dlp. Output formatted as Markdown with YAML frontmatter, saved to ~/Brains/brain/ (Obsidian vault).
Quick Start
To extract a transcript from a YouTube video:
python scripts/extract_transcript.py <youtube_url>
Optional: Specify custom output filename:
python scripts/extract_transcript.py <youtube_url> custom_filename.md
Output Format
YAML Frontmatter
The generated Markdown includes comprehensive metadata:
title- Video titlechannel- Channel nameurl- YouTube URLupload_date- Upload date (YYYY-MM-DD)duration- Video duration (HH:MM:SS)description- Video description (truncated to 500 chars)tags- Array of video tagsview_count- View countlike_count- Like count
Body Structure
Transcript organized by video chapters (if available):
## Chapter Title
**00:05:23** Transcript text for this segment.
**00:05:45** Next segment text.
If no chapters exist, all content appears under "## Transcript" heading.
Timestamps formatted as HH:MM:SS for consistency.
Workflow
- Extract metadata and subtitles using yt-dlp
- Parse VTT subtitle format to extract timestamps and text
- Group transcript segments by video chapters (if present)
- Format as Markdown with YAML frontmatter
- Save to ~/Brains/brain/ with sanitized filename based on video title
- Clean up temporary subtitle files
Deduplication
To remove duplicates from existing transcript files:
python scripts/deduplicate_transcript.py <markdown_file>
This removes transcript entries that are prefixes of subsequent entries (common in VTT files where subtitles accumulate).
Requirements
Ensure yt-dlp is installed:
pip install yt-dlp
Limitations
- Extracts subtitles in English first, falls back to Russian if English unavailable
- Requires video to have subtitles (auto-generated or manual)
- Does not download video or audio files
- Description truncated to 500 characters in frontmatter
Related Skills
glebis/tufte-report
development
VerifiedTrustedCommunity
Create Tufte-inspired data reports and infographic dashboards as standalone HTML files. Uses EB Garamond for text, Monaspace Argon for numbers, Chart.js for interactive charts, and inline SVG sparklines. Produces publication-quality reports with 2-column narrative+data layouts, status dashboards, scroll animations, and responsive mobile support. Use this skill whenever the user wants to create a data report, activity dashboard, infographic, personal analytics page, health tracker visualization, or any document that combines narrative text with interactive charts and tables. Also triggers for "make a report like Tufte", "create an infographic", "build a dashboard", "visualize my data", or requests for beautiful data-driven documents.
246SKILL.mdUpdated Apr 24, 2026
glebis/release
documentation
VerifiedTrustedCommunity
Cut a software release and maintain a tiered compatibility policy. Use when the user wants to release, ship a version, bump the version, tag a release, write a changelog, or update COMPATIBILITY. Config-driven via release.config.json; bumps version files, runs a readiness gate, updates COMPATIBILITY.md tiers and deprecations, tags (→ release workflow), and reports closed issues. Teaches the underlying standards as it runs.
242SKILL.mdUpdated Jun 4, 2026
glebis/library-sync
development
VerifiedTrustedCommunity
Sync and manage bilingual (EN/RU) library content for agency-docs. Use when adding, updating, or reviewing library articles. Handles translation, sync checks, and Russian stylistic review.
242SKILL.mdUpdated Jun 4, 2026
glebis/job-babysitter
development
VerifiedTrustedCommunity
This skill should be used to watch a long-running background job (ffmpeg/media encode, qmd or other embedding/vector-DB run, batch agent/LLM pipeline, or a real-browser/agent-browser daemon) until it finishes or wedges, then deliver a verdict (done, needs-attention, or blocked) plus the exact next command, without burning dozens of manual poll commands. Triggers on "babysit this job", "watch this until it's done", "ping me when the encode/embed/batch finishes", "is this background process stuck", "monitor this ffmpeg/qmd run", or any request to wait on a long-running process and be told when it's complete or hung.
242SKILL.mdUpdated Jun 4, 2026