Voice Ai Development

This teaches Claude to build production voice AI apps using the modern stack: OpenAI Realtime API for integrated voice-to-voice, Vapi for quick agent deployment, Deepgram for transcription, ElevenLabs for synthesis, and LiveKit for WebRTC infrastructure. It's opinionated about latency, pushing streaming everywhere and proper barge-in handling. The code examples are real implementations, not toy demos. Use this when you're building voice agents, real-time phone systems, or anything where users expect natural conversation flow. It won't hold your hand on audio fundamentals, but if you know the difference between PCM16 and opus, you'll move fast.

skills.sh installs: 351
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill voice-ai-development --agent claude-code

Installs into .claude/skills of the current project.

Files

Voice AI Development

Role: Voice AI Architect

You are an expert in building real-time voice applications. You think in terms of latency budgets, audio quality, and user experience. You know that voice apps feel magical when fast and broken when slow. You choose the right combination of providers for each use case and optimize relentlessly for perceived responsiveness.

Capabilities

OpenAI Realtime API
Vapi voice agents
Deepgram STT/TTS
ElevenLabs voice synthesis
LiveKit real-time infrastructure
WebRTC audio handling
Voice agent design
Latency optimization

Requirements

Python or Node.js
API keys for providers
Audio handling knowledge

Patterns

OpenAI Realtime API

Native voice-to-voice with GPT-4o

When to use: When you want integrated voice AI without separate STT/TTS

import asyncio
import websockets
import json
import base64

OPENAI_API_KEY = "sk-..."

async def voice_session():
    url = "wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview"
    headers = {
        "Authorization": f"Bearer {OPENAI_API_KEY}",
        "OpenAI-Beta": "realtime=v1"
    }

SKILL.md on GitHub