Menu

Individual skill

conference-transcribe

0upvotes

Transcribe a multi-talk conference livestream or long YouTube video into separate per-talk transcripts. Parses timestamps from the video description to split talks, downloads audio/video, transcribes each segment, then uses an LLM to clean up and format the transcripts with key takeaways and frequent timestamps. Use when user says "transcribe this conference", "split this livestream into talks", "transcribe each talk separately", or provides a YouTube URL of a multi-hour event stream with chapter timestamps.

conference-transcribe/SKILL.md

Read pinned source

Source commit 1acf58f08cca24b764a4352a6c30fed1f7fb9fb6

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
198
Repository last updated
Nov 9, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Conference Transcribe

Input: a YouTube URL with chapter timestamps or another multi-talk recording.

Transcribe a multi-talk conference livestream into individual, cleaned-up per-talk markdown files with key takeaways and frequent timestamps.

## Lessons Learned (from AIE Europe Day 1, April 2026)

This skill was born from a real transcription session. Here's what worked and what didn't:

### What Worked

1. **YouTube auto-captions as primary source** -- YouTube's English auto-captions (VTT) are surprisingly good and *instant*. No download wait, no model download, no GPU needed. Prefer this over Whisper for YouTube videos that have captions available.
2. **`yt-dlp --write-sub --write-auto-sub --sub-lang en`** to grab captions directly, then parse the VTT file.
Back to top