Does it support user interruptions during AI speech?

Yes, it includes patterns for 'barge-in' detection and Voice Activity Detection (VAD) to ensure the AI stops speaking when the user starts.

Can I use this for phone-based AI agents?

Absolutely. It contains specific implementation patterns for Vapi, which is designed for creating and managing telephony-based voice assistants.

Which voice AI providers are supported by this skill?

The skill provides patterns for OpenAI Realtime API, Vapi, Deepgram (STT), ElevenLabs (TTS), and LiveKit for real-time infrastructure.

How does this skill help reduce voice latency?

It emphasizes streaming pipelines (STT, LLM, and TTS), chunk-based audio handling, and optimized synthesis to minimize perceived delay.

Voice AI Development

Name: Voice AI Development
Author: claudiodearaujo

byclaudiodearaujo

0•

API Development

Architects high-performance, low-latency real-time voice applications and AI agents using industry-leading providers and streaming protocols.

This skill provides specialized guidance for building production-grade voice AI experiences, focusing on the critical balance between audio quality and latency budgets. It covers the full spectrum of modern voice technology, from native voice-to-voice models like OpenAI's Realtime API to modular pipelines utilizing Deepgram for transcription and ElevenLabs for synthesis. Developers can leverage these patterns to implement responsive WebRTC handling, robust Voice Activity Detection (VAD), and seamless user barge-in capabilities, ensuring AI interactions feel natural and instantaneous.

Key Features

010 GitHub stars

02High-fidelity STT and TTS orchestration with Deepgram and ElevenLabs

03Native voice-to-voice implementation via OpenAI Realtime API

04Low-latency audio streaming and WebRTC infrastructure patterns

05Implementation of Voice Activity Detection (VAD) and interruption handling

06Rapid deployment of telephony and web-based agents using Vapi

Use Cases

01Building real-time voice interfaces for hands-free mobile applications

02Creating low-latency live translation and transcription services

03Developing AI-driven customer support agents for telephony and web

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front voice-ai-development

For use in Claude.ai and ChatGPT

Download Skill

Key Features

010 GitHub stars

02High-fidelity STT and TTS orchestration with Deepgram and ElevenLabs

03Native voice-to-voice implementation via OpenAI Realtime API

04Low-latency audio streaming and WebRTC infrastructure patterns

05Implementation of Voice Activity Detection (VAD) and interruption handling

06Rapid deployment of telephony and web-based agents using Vapi

Use Cases

01Building real-time voice interfaces for hands-free mobile applications

02Creating low-latency live translation and transcription services

03Developing AI-driven customer support agents for telephony and web

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front voice-ai-development

For use in Claude.ai and ChatGPT

Download Skill