Awesome-openclaw-skills elevenlabs-stt

Transcribe audio files using ElevenLabs Speech-to-Text (Scribe v2).

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 "$T/skills/elevenlabs-stt" ~/.claude/skills/sundial-org-awesome-openclaw-skills-elevenlabs-stt && rm -rf "$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 "$T/skills/elevenlabs-stt" ~/.openclaw/skills/sundial-org-awesome-openclaw-skills-elevenlabs-stt && rm -rf "$T"

manifest: skills/elevenlabs-stt/SKILL.md

source content

ElevenLabs Speech-to-Text

Transcribe audio files using ElevenLabs' Scribe v2 model. Supports 90+ languages with speaker diarization.

Quick Start

# Basic transcription
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3

# With speaker diarization
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --diarize

# Specify language (improves accuracy)
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --lang en

# Full JSON output with timestamps
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --json

Options

Flag	Description
`--diarize`	Identify different speakers
`--lang CODE`	ISO language code (e.g., en, pt, es)
`--json`	Output full JSON with word timestamps
`--events`	Tag audio events (laughter, music, etc.)

Supported Formats

All major audio/video formats: mp3, m4a, wav, ogg, webm, mp4, etc.

API Key

Set

ELEVENLABS_API_KEY

environment variable, or configure in clawdbot.json:

{
  skills: {
    entries: {
      "elevenlabs-stt": {
        apiKey: "sk_..."
      }
    }
  }
}

Examples

# Transcribe a WhatsApp voice note
{baseDir}/scripts/transcribe.sh ~/Downloads/voice_note.ogg

# Meeting recording with multiple speakers
{baseDir}/scripts/transcribe.sh meeting.mp3 --diarize --lang en

# Get JSON for processing
{baseDir}/scripts/transcribe.sh podcast.mp3 --json > transcript.json