Generate multilingual speech with voice cloning and Telegram/WhatsApp delivery.
npx skills add https://github.com/daMustermann/claw-qwen3-tts --skill qwen3-tts-damustermann
Please help me install this Agent Skill. Skill: qwen3-tts Source: https://github.com/daMustermann/claw-qwen3-tts/tree/main Command: npx skills add https://github.com/daMustermann/claw-qwen3-tts --skill qwen3-tts-damustermann
OpenClaw agents often need reliable, multilingual text-to-speech with voice customization and easy distribution of generated audio. This skill provides a turnkey TTS system with built-in voices, voice design and cloning capabilities, and native delivery of audio via Telegram/WhatsApp.
Install the skill, start the server, and generate your first speech sample via the v1 endpoint.
High-intent search queries and answers about installing and using this skill.
Voice cloning for text-to-speech requires as little as 3 seconds of reference audio to create a new voice. The system saves these cloned voices persistently by name, allowing you to reuse them for generating speech in your agents.
Yes, you can deliver generated text-to-speech audio as native voice messages directly through Telegram and WhatsApp. The skill handles end-to-end audio conversion and message delivery natively for both platforms.
Yes, this text-to-speech skill provides a local OpenAI-compatible API endpoint. It supports speech generation, voice management, and audio format conversion directly through this interface.
You can design a custom TTS voice by providing a natural language description of the desired persona. The voice design feature generates high-quality, multilingual speech from this text prompt.
The skill includes built-in GPU detection to optimize the text-to-speech model loading and generation process. While it handles the local server setup automatically, having a GPU ensures faster processing for high-quality speech synthesis.
The best way to manage persistent named voices is to use the built-in voice management API. You can save both cloned and designed voices by name, ensuring they remain available for reuse across multiple text-to-speech generations.
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