Together AI Audio TTS/STT Skill for Claude Code

What it is

This skill teaches Claude Code how to use Together AI's audio API. It covers text-to-speech (REST and WebSocket streaming), speech-to-text transcription, and realtime voice interaction through Together AI's endpoints.

The skill targets developers building voice-enabled applications who want their AI coding assistant to generate working audio API integration code. Once installed, Claude Code can scaffold TTS/STT pipelines using Together AI's infrastructure.

The project is actively maintained and suitable for both individual developers and teams looking to integrate it into their existing toolchain. Documentation and community support are available for onboarding.

How it saves time or tokens

Instead of reading Together AI's audio API documentation and writing boilerplate, Claude Code generates correct API calls after installing this skill. It knows the endpoint formats, authentication patterns, and streaming protocols for both TTS and STT. The estimated token budget is around 2,500 tokens.

For teams evaluating multiple tools in the same category, the clear documentation and active community reduce the time spent on research and troubleshooting. Getting started takes minutes rather than hours of configuration.

How to use

1. Install the skill in your Claude Code environment by adding the skill file to your project.
2. Ask Claude Code to generate TTS code using Together AI (e.g., 'Generate a script that converts text to speech using Together AI').
3. Claude Code produces working code with proper authentication, endpoint URLs, and response handling.
4. Run the generated code with your Together AI API key.

Example

import requests

# Together AI Text-to-Speech (REST)
response = requests.post(
    'https://api.together.ai/v1/audio/speech',
    headers={
        'Authorization': 'Bearer YOUR_TOGETHER_API_KEY',
        'Content-Type': 'application/json'
    },
    json={
        'model': 'together-tts-v1',
        'input': 'Hello, this is a test of Together AI text to speech.',
        'voice': 'alloy',
        'response_format': 'mp3'
    }
)

with open('output.mp3', 'wb') as f:
    f.write(response.content)

Related on TokRepo

• AI Tools for Voice — Text-to-speech and voice synthesis tools.
• Prompt Library — Prompt templates for AI coding skills.

Common pitfalls

• Not setting the response_format correctly. Together AI supports mp3, opus, and wav. Choose based on your playback requirements and file size constraints.
• Using REST for real-time voice applications. The WebSocket streaming API delivers audio chunks with lower latency than the REST endpoint. Use WebSocket for interactive voice.
• Hardcoding API keys in generated code. Always use environment variables for API key management, even in prototype code.
• Applying the skill without reading the documentation first. Each skill has specific prerequisites and configuration requirements that affect the quality of results.