A high-performance voice suite providing emotion-aware text-to-speech and transcription for AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mimo-voice-assistant
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 mimo-voice-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The MiMo Voice Assistant is a comprehensive end-to-end voice solution designed specifically for Openclaw Skills. By leveraging the Xiaomi MiMo-V2.5-TTS engine, it provides agents with the ability to generate speech that is not only high-quality but also emotion-aware and instruction-following. This skill allows developers to bridge the gap between text-based interactions and natural vocal communication.
Built to be multi-platform ready, it supports transcription via MiMo-V2-Omni and offers a proxy layer that mimics standard API formats for easy integration. Whether you are building for messaging apps or custom hardware, this tool provides the necessary vocal infrastructure for modern Openclaw Skills.
To get started with this skill within the Openclaw Skills ecosystem, follow these steps:
# 1. Install necessary dependencies
cd mimo-tts-proxy && npm install
# 2. Set your MiMo API Key
export MIMO_API_KEY="your-key-here"
# 3. Launch the proxy server
node src/server.mjs
Configure your openclaw.json to utilize the local proxy at http://127.0.0.1:3999 as the TTS provider.
The skill organizes its data flow using a structured request format compatible with standard AI audio interfaces. Below is the metadata taxonomy for requests:
| Parameter | Type | Description |
|---|---|---|
| model | string | Specifies the version (e.g., tts-1). |
| input | string | The text content for synthesis. |
| voice | string | The target voice ID. |
| style | string | Natural language instructions for emotion or tone. |
| reference_audio | string | Base64 data used for real-time voice cloning. |
| response_format | string | Output type: mp3, wav, or opus. |
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