An advanced Text-to-Speech skill that converts text into natural human voices with granular control over emotions, dialects, and singing styles.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xiaomi-tts
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 xiaomi-tts using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Xiaomi MiMo TTS is a sophisticated voice synthesis tool designed for the Openclaw Skills ecosystem. It enables developers and AI agents to transform plain text into expressive audio, supporting a wide range of vocal characteristics including multiple languages, regional dialects, and even singing capabilities.
The skill stands out by allowing fine-grained control over the delivery. Users can manipulate speech speed, emotional undertones, and specific character personas using simple tag-based syntax. Whether you need a formal announcement, a dramatic reading with sighs and pauses, or a casual conversation in a specific dialect like Cantonese or Sichuanese, this skill provides the necessary vocal flexibility.
<style>sad</style> or granular markers like (sigh).To use this skill, you must set up your API credentials and ensure Node.js is installed.
# Set your environment variable
export MIMO_API_KEY="your_api_key_here"
# Run a synthesis command
node scripts/xiaomi-tts.js "Hello world" --voice default_zh --style "whisper" --output output.wav
The skill manages audio generation through a specific set of parameters and returns structured data:
| Parameter | Type | Description |
|---|---|---|
text |
String | The main content to be synthesized. |
voice |
String | The voice model (e.g., mimo_default, default_zh, default_eh). |
style |
String | Global style modifier applied via <style> tags. |
output |
Path | The destination for the generated .wav file. |
Output Format: The skill primarily returns base64 encoded WAV audio data, ensuring compatibility with various Openclaw Skills workflows.
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