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voice-ai-development

Build real-time voice AI applications with speech-to-text, text-to-speech, and low-latency infrastructure.

7|2|Updated Jan 28, 2026
Search Tags:#llm#real-time#voice ai#voice agent#speech to text#text to speech
One-click install
npx skills add https://github.com/LuisSambrano/antigravity-config --skill voice-ai-development-luissambrano
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: voice-ai-development
Source: https://github.com/LuisSambrano/antigravity-config/tree/main/skills/2-ai/voice-ai
Command: npx skills add https://github.com/LuisSambrano/antigravity-config --skill voice-ai-development-luissambrano

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complexity of building real-time voice AI applications, enabling developers to create low-latency, production-ready voice experiences.

Core Features & Use Cases

  • Real-time Voice Agents: Develop interactive voice agents using platforms like Vapi.
  • Speech-to-Text & Text-to-Speech: Integrate advanced transcription (Deepgram) and synthesis (ElevenLabs) services.
  • Low-Latency Infrastructure: Utilize WebRTC and LiveKit for seamless audio handling.
  • Use Case: Build a customer support voice bot that can understand user queries in real-time and respond with natural-sounding speech, all while minimizing delays.

Quick Start

Use the voice-ai-development skill to build a real-time voice agent using the OpenAI Realtime API.

Frequently Asked Questions about voice-ai-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a real-time voice AI application with low latency?▼

To build a real-time voice AI application, you integrate speech-to-text, text-to-speech, and voice agent platforms while utilizing low-latency infrastructure like WebRTC and LiveKit for seamless audio handling.

What is the best way to integrate speech-to-text and text-to-speech for a voice agent?▼

The best way to integrate speech-to-text and text-to-speech for a voice agent is by connecting advanced transcription services like Deepgram with synthesis platforms like ElevenLabs.

Can I use the OpenAI Realtime API to develop an interactive voice agent?▼

Yes, you can use the OpenAI Realtime API to develop interactive voice agents, enabling them to understand user queries and respond with natural-sounding speech in real-time.

Does WebRTC work with LiveKit for seamless audio handling in voice AI?▼

WebRTC works with LiveKit to provide low-latency infrastructure for seamless audio handling, ensuring minimal delays and optimizing perceived responsiveness in voice AI applications.

How do I minimize delays when building a customer support voice bot?▼

To minimize delays in a customer support voice bot, utilize low-latency infrastructure like WebRTC and LiveKit, and optimize perceived responsiveness across your speech-to-text and text-to-speech integrations.

What platforms can I use to build and deploy real-time voice agents?▼

You can build and deploy real-time voice agents using platforms like Vapi, Deepgram, ElevenLabs, LiveKit, and the OpenAI Realtime API to handle transcription, synthesis, and interactive audio.

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