Awesome-openclaw-skills transcribee

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.

install

source · Clone the upstream repo

git clone https://github.com/sundial-org/awesome-openclaw-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/transcribee" ~/.claude/skills/sundial-org-awesome-openclaw-skills-transcribee && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/transcribee" ~/.openclaw/skills/sundial-org-awesome-openclaw-skills-transcribee && rm -rf "$T"

manifest: skills/transcribee/SKILL.md

source content

Transcribee

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

Usage

# 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

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