Does it support user interruptions (barge-in)?

Yes, the skill includes best practices and code for implementing Voice Activity Detection (VAD) to handle interruptions naturally.

Which Voice AI providers are supported by this skill?

This skill provides specific implementation patterns for OpenAI Realtime API, Vapi, Deepgram, ElevenLabs, and LiveKit.

Can I build phone-based agents using this skill?

Yes, it includes detailed templates for Vapi, which is specifically designed for deploying voice agents to telephony and web-based call interfaces.

How does this skill handle conversation latency?

It prioritizes streaming pipelines for STT, LLM, and TTS, ensuring that audio synthesis begins before the full text response is generated to minimize delays.

Voice AI Development

Name: Voice AI Development
Author: henriquescastilho

byhenriquescastilho

•

数据科学与机器学习

Builds high-performance, real-time voice applications and AI agents with low-latency communication and streaming infrastructure.

This skill transforms Claude into a Voice AI Architect capable of building production-ready voice applications. It provides expert guidance on integrating cutting-edge tools like OpenAI's Realtime API, Deepgram for speech-to-text, and ElevenLabs for text-to-speech. By focusing on latency budgets, WebRTC audio handling, and barge-in detection, this skill ensures developers can create seamless, natural-sounding voice agents that respond instantly. It is ideal for developers building everything from customer support phone bots to sophisticated real-time AI assistants.

主要功能

01Advanced conversation design including interruption handling and VAD

02Rapid deployment of telephony and web agents via Vapi

03Optimized streaming STT and TTS pipelines using Deepgram and ElevenLabs

041 GitHub stars

05Real-time audio infrastructure management with LiveKit and WebRTC

06Native voice-to-voice implementation with OpenAI Realtime API

使用场景

01Developing AI-powered customer support agents for phone and web

02Building real-time interactive voice assistants for mobile apps

03Creating low-latency transcription and translation services

主要功能

01Advanced conversation design including interruption handling and VAD

02Rapid deployment of telephony and web agents via Vapi

03Optimized streaming STT and TTS pipelines using Deepgram and ElevenLabs

041 GitHub stars

05Real-time audio infrastructure management with LiveKit and WebRTC

06Native voice-to-voice implementation with OpenAI Realtime API

使用场景

01Developing AI-powered customer support agents for phone and web

02Building real-time interactive voice assistants for mobile apps

03Creating low-latency transcription and translation services