Convert text to speech audio using the z-ai-web-dev-sdk.
npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill tts-tajo9128
Please help me install this Agent Skill. Skill: TTS Source: https://github.com/tajo9128/BioDockify-pharma-research-ai/tree/main/ui/src/skills/TTS Command: npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill tts-tajo9128
This Skill enables automated text-to-speech conversion by leveraging the z-ai-web-dev-sdk to generate natural-sounding audio from text.
Use the TTS skill to convert text to speech and save to an audio file, for example: "Hello, world!" to "./output.wav".
High-intent search queries and answers about installing and using this skill.
To generate speech audio from text in a Node.js backend, use this skill to leverage the z-ai-web-dev-sdk for converting text into natural-sounding audio. It handles the SDK's Response.arrayBuffer and Buffer conversion to output binary audio data.
When converting text to speech, you can output audio in wav, mp3, and pcm formats. The skill properly handles the SDK's streaming behavior and embedded binary data to save these common audio file types.
Yes, you can adjust voice, speed, and volume for text-to-speech conversion. The skill supports multiple voices and configurable settings to generate dynamic audio responses tailored to your backend workflow requirements.
The text-to-speech conversion enforces an input length limit of 1024 characters per request. You must chunk longer text inputs into multiple segments to process them through the z-ai-web-dev-sdk successfully.
Yes, you need the z-ai-web-dev-sdk dependency to convert text to natural-sounding speech. This skill automates the SDK usage constraints, handling the arrayBuffer responses and Buffer conversion required to generate audio files in Node.js.
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