A complete AI voice solution for generating lifelike text-to-speech and performing accurate speech-to-text transcription via ElevenLabs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install elevenlabs-voice
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install elevenlabs-voice using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The ElevenLabs Speech skill provides a robust interface for both Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities powered by ElevenLabs AI. It allows developers to generate lifelike human voices from text or transcribe audio files into text with high accuracy. This skill is ideal for building interactive voice agents, automated content creation, and multi-language communication tools. By utilizing Openclaw Skills, you can seamlessly integrate advanced audio processing into your existing workflows to create more immersive user experiences.
To get started, set your API key as an environment variable:
export ELEVENLABS_API_KEY="sk_your_api_key_here"
You can also include this in a .env file in your workspace root. To generate speech via the CLI, use:
python scripts/elevenlabs_speech.py tts -t "Hello from Openclaw Skills" -o output.mp3
To transcribe an existing audio file:
python scripts/elevenlabs_scribe.py audio_sample.ogg
The skill manages audio data and metadata through the following structure:
| Attribute | Description | Format |
|---|---|---|
| Voice ID | Unique identifier for a specific AI voice (e.g., Rachel, Josh) | String |
| Stability | Controls the emotional range and consistency of the voice | Float (0.0 - 1.0) |
| Similarity | Determines how closely the output matches the original voice | Float (0.0 - 1.0) |
| Audio Formats | Supported files for STT and TTS output | mp3, ogg, wav, m4a |
| Language Code | Optional hint for STT transcription accuracy | ISO 639-1 (e.g., eng, spa) |
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