A high-performance text-to-speech skill leveraging the Microsoft Edge voice engine for natural, multilingual audio generation via AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install edge-tts-global
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 edge-tts-global using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Edge TTS Global is a powerful extension for AI agents that utilizes the globally installed edge-tts engine to convert text into high-quality, natural-sounding audio. It is designed to provide immediate voice synthesis capabilities, particularly optimized for Chinese and multilingual outputs. By integrating this into the Openclaw Skills ecosystem, developers can give their agents the ability to communicate through audio dynamically.
The skill provides a streamlined workflow for generating MP3 files and subtitles, supporting both direct command-line execution and a specialized Python helper script. Whether you need Telegram-style voice bubbles or standard audio attachments, Edge TTS Global handles the creation, delivery, and automated cleanup of media assets efficiently.
To utilize this skill within the Openclaw Skills environment, ensure the edge-tts package is installed on your system.
# Install the core engine
pip install edge-tts
# Ensure the skill directory is accessible
cd /data/claw/shared/skills/edge-tts-global
Verify the installation by listing available voices:
edge-tts --list-voices
The skill manages data within the current caller workspace, adhering to a strict temporary lifecycle.
| File Type | Default Location | Description |
|---|---|---|
| Audio Output | ./temp/*.mp3 |
The generated voice file. |
| Subtitles | ./temp/*.vtt |
Optional WebVTT subtitle file. |
| Scripts | scripts/tts_edge.py |
Internal logic for streamlined generation and cleanup. |
Metadata such as voice selection (e.g., zh-CN-XiaoxiaoNeural) and speech rate are passed as arguments during the execution phase.
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