A comprehensive toolset for integrating ElevenLabs advanced text-to-speech, sound effects, and music generation capabilities into your AI workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install elevenlabs
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install elevenlabs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ElevenLabs AI Audio Skill?
The ElevenLabs skill for Openclaw Skills provides a robust interface to the industry-leading AI audio platform. It enables developers to transform text into expressive speech, generate cinematic sound effects, and compose original music directly through command-line scripts. This skill is particularly powerful for those needing high-fidelity audio output, offering support for the latest Eleven v3 models which interpret emotional context and audio tags like [laughs] or [whispers] for lifelike results.
By leveraging this skill, developers can automate complex audio production tasks that previously required manual intervention. Whether you are generating narration for a global audience or creating unique soundscapes for an application, this integration ensures high performance and technical flexibility across multiple audio formats and models.
ElevenLabs AI Audio Skill Use Cases
- Automated narration for video content and podcasts using professional-grade voices.
- Generating dynamic sound effects for game development or UI feedback loops.
- Creating custom instrumental tracks and background music for digital media production.
- Building personalized voice assistants or character voices using instant voice cloning.
- Monitoring API usage and character quotas to manage production costs effectively.
How ElevenLabs AI Audio Skill Works
- The skill interfaces with the ElevenLabs API using a secure API key configured in the environment.
- Users select a specific script based on their creative needs, such as speech.py for text-to-speech or music.py for compositions.
- The skill processes input text or audio samples, applying specific model parameters like stability, similarity, and style exaggeration.
- Audio is synthesized on ElevenLabs servers using advanced neural models like Eleven v3 or Turbo v2.5.
- The resulting audio is streamed back and saved locally in the requested format, such as MP3, Opus, or raw PCM.
ElevenLabs AI Audio Skill Setup
To get started with this skill for Openclaw Skills, ensure you have python3 and ffmpeg installed on your system.
# Install required Python dependencies
pip install requests
# Set your ElevenLabs API Key
export ELEVENLABS_API_KEY='your_api_key_here'
# Verify the installation by listing available voices
python3 scripts/voices.py
ElevenLabs AI Audio Skill Data Schema & Taxonomy
The ElevenLabs skill organizes its data and outputs through a structured set of CLI parameters and local directories. Below is the metadata and file organization taxonomy:
| Component | Description | Default Location |
|---|---|---|
| Voice Samples | Audio files used for instant voice cloning | ~/.openclaw/elevenlabs/voiceclone-samples/ |
| Output Audio | Generated speech, music, or SFX files | User-defined output path |
| Metadata | Quota usage and voice list data | Returned as JSON or stdout |
| Model Config | Model IDs (v3, Turbo, Flash) and settings | Defined per script execution |
ElevenLabs AI Audio Skill Advanced Features
- Support for Eleven v3 audio tags to inject natural human elements like [sighs], [clears throat], and [excited] tones.
- Instant Voice Cloning (IVC) with security-focused directory constraints for audio samples.
- Broad output format support including Opus for AirPlay, telephony-grade A-law, and high-fidelity 192kbps MP3.
- Integrated quota management to track character consumption, plan resets, and per-voice usage statistics.
- Optimization for low-latency applications using the Flash v2.5 and Turbo v2.5 models.
SKILL.md
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