Voice Ai Development

This covers the full stack of modern voice AI, from OpenAI's Realtime API for native voice-to-voice with GPT-4o to Vapi for quick phone agent deployment. You get patterns for Deepgram transcription, ElevenLabs synthesis, and LiveKit infrastructure, plus the WebRTC and WebSocket foundations you need. The focus is clearly on production concerns: latency budgets, provider selection, audio quality tuning. If you're building anything with real-time voice, whether it's a customer service bot or a voice-enabled app, this gives you the architecture patterns and integration code to get started. The honest take is that voice apps are unforgiving, they feel magical when fast and broken when slow, and this skill knows it.

skills.sh installs: 804
GitHub stars: 43.1K
last updated: Jul 14, 2026

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$ npx -y skills add sickn33/antigravity-awesome-skills --skill voice-ai-development --agent claude-code

Installs into .claude/skills of the current project.

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Voice AI Development

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to design low-latency voice experiences; bundled examples require integration testing.

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.