MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Voice Ai Development

Voice Ai Development is an code AI skill with a core value of Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

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...

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude, ChatGPT
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/voice-ai-development && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/voice-ai-development/SKILL.md -o ./skills/voice-ai-development/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# 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


python
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"
    }

    async with websockets.connect(url, extra_headers=headers) as ws:
        # Configure session
        await ws.send(json.dumps({
            "type": "session.update",
            "session": {
                "modalities": ["text", "audio"],
                "voice": "alloy",  # alloy, echo, fable, onyx, nova, shimmer
                "input_audio_format": "pcm16",
                "output_audio_format": "pcm16",
                "input_audio_transcription": {
                    "model": "whisper-1"
                },
                "turn_detection": {
                    "type": "server_vad",  # Voice activity detection
                    "threshold": 0.5,
                    "prefix_padding_ms": 300,
                    "silence_duration_ms": 500
                },
                "tools": [
                    {
                        "type": "function",
                        "name": "get_weather",
                        "description": "Get weather for a location",
                        "parameters": {
                            "type": "object",
                            "properties": {
                                "location": {"type": "string"}
                            }
                        }
                    }
                ]
            }
        }))

        # Send audio (PCM16, 24kHz, mono)
        async def send_audio(audio_bytes):
            await ws.send(json.dumps({
                "type": "input_audio_buffer.append",
                "audio": base64.b64encode(audio_bytes).decode()
            }))

        # Receive events
        async for message in ws:
            event = json.loads(message)

            if event["type"] == "resp

Vapi Voice Agent


Build voice agents with Vapi platform


**When to use**: Phone-based agents, quick deployment


python
# Vapi provides hosted voice agents with webhooks

from flask import Flask, request, jsonify
import vapi

app = Flask(__name__)
client = vapi.Vapi(api_key="...")

# Create an assistant
assistant = client.assistants.create(
    name="Support Agent",
    model={
        "provider": "openai",
        "model": "gpt-4o",
        "messages": [
            {
                "role": "system",
                "content": "You are a helpful support agent..."
            }
        ]
    },
    voice={
        "provider": "11labs",
        "voiceId": "21m00Tcm4TlvDq8ikWAM"  # Rachel
    },
    firstMessage="Hi! How can I help you today?",
    transcriber={
        "provider": "deepgram",
        "model": "nova-2"
    }
)

# Webhook for conversation events
@app.route("/vapi/webhook", methods=["POST"])
def vapi_webhook():
    event = request.json

    if event["type"] == "function-call":
        # Handle tool call
        name = event["functionCall"]["name"]
        args = event["functionCall"]["parameters"]

        if name =

🎯 Best For

  • UI designers
  • Product designers
  • Claude users
  • ChatGPT users
  • Software engineers

💡 Use Cases

  • Generating component mockups
  • Creating design system tokens
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or ChatGPT and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Voice Ai Development to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is Voice Ai Development compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Voice Ai Development?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Voice Ai Development?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/voice-ai-development/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills