According to AlphaMoat, as of 2026-09, Transcribee 🐝 has 4,466 downloads and 7 stars — ranked #2,164 of 5,078 AI skills overall, and #206 of 442 in Knowledge.

Installs

483

Downloads

4.5K

Stars

Overall Rank

#2,164

Top 43% overall · Top 47% in Knowledge

Platform	Installs	Downloads	Stars	Comments
ClawHub ↗	135	4.0K	6	-
SkillHub ↗	483	4.5K	7	—

Platforms count differently and update at different times.

What this skill does

It produces a speaker-labeled transcript, plain text, word-level timing data and media metadata in local output files. The documented workflow supports common media formats and uses yt-dlp and FFmpeg for input handling; transcription depends on the external ElevenLabs service. Requests send prompts or files to an external service and require valid credentials; check the provider's handling terms and avoid sending sensitive material without approval.

Profile published 2026-10-27

What you can do with it

Prepare a speaker-labeled transcript for a podcast or video

When to use it

When the user provides a YouTube link or a local audio/video file for transcription

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Transcribe this recording with speaker labels and preserve the word-level timing data.

Monthly Trend

Downloads4.5K

Stars7

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

Month	Downloads	MoM	Stars
2026-09	4.5K	—	7
2026-08	4.0K	+2.0%	7
2026-07	3.9K	+7.7%	7
2026-06	3.6K	-1.3%	6
2026-05	3.7K	—	7
2026-03	3.4K	—	6

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

1.3 KB · ClawHub v1.2.1

---
name: transcribee
description: Transcribe YouTube videos and local audio/video files with speaker diarization. Use when user asks to transcribe a YouTube URL, podcast, video, or audio file. Outputs clean speaker-labeled transcripts ready for LLM analysis.
---

# Transcribee

Transcribe YouTube videos and local media files with speaker diarization via ElevenLabs.

## Usage

Show all (55 lines)


```bash
# YouTube video
transcribee "https://www.youtube.com/watch?v=..."

# Local video
transcribee ~/path/to/video.mp4

# Local audio
transcribee ~/path/to/podcast.mp3
```

**Always quote URLs** containing `&` or special characters.

## Output

Transcripts save to: `~/Documents/transcripts/{category}/{title}-{date}/`

| File | Use |
|------|-----|
| `transcription.txt` | Speaker-labeled transcript |
| `transcription-raw.txt` | Plain text, no speakers |
| `transcription-raw.json` | Word-level timings |
| `metadata.json` | Video info, language, category |

## Supported Formats

- **Audio:** mp3, m4a, wav, ogg, flac
- **Video:** mp4, mkv, webm, mov, avi
- **URLs:** youtube.com, youtu.be

## Dependencies

```bash
brew install yt-dlp ffmpeg
```

## Troubleshooting

| Error | Fix |
|-------|-----|
| `yt-dlp not found` | `brew install yt-dlp` |
| `ffmpeg not found` | `brew install ffmpeg` |
| API errors | Check `.env` file in transcribee directory |