Agent skill · DevOps & Cloud

azure-ai-voicelive-dotnet

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill azure-ai-voicelive-dotnet --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/ai-llm/azure-ai-voicelive-dotnet/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Azure.AI.VoiceLive (.NET) Real-time voice AI SDK for building bidirectional voice assistants with Azure AI. ## Installation ```bash dotnet add package Azure.AI.VoiceLive dotnet add package Azure.Identity dotnet add package NAudio # For audio capture/playback ``` **Current Versions**: Stable v1.0.0, Preview v1.1.0-beta.1 ## Environment Variables ```bash AZURE_VOICELIVE_ENDPOINT=https://<resource>.services.ai.azure.com/ AZURE_VOICELIVE_MODEL=gpt-4o-realtime-preview AZURE_VOICELIVE_VOICE=en-US-AvaNeural # Optional: API key if not using Entra ID AZURE_VOICELIVE_API_KEY=<your-api-key> ``` ## Authentication ### Microsoft Entra ID (Recommended) ```csharp using Azure.Identity; using Azure.AI.VoiceLive; Uri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com"); DefaultAzureCredential credential = new DefaultAzureCredential(); VoiceLiveClient client = new VoiceLiveClient(endpoint, credential); ``` **Required Role**: `Cognitive Services User` (assign in Azure Portal → Access control) ### API Key ```csharp Uri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com"); AzureKeyCredential credential = new AzureKeyCredential("your-api-key"); VoiceLiveClient clien

What's inside
Steps it walks through
  1. Installation
  2. Environment Variables
  3. Authentication
  4. Microsoft Entra ID (Recommended)
  5. API Key
  6. Client Hierarchy
  7. Core Workflow
  8. 1. Start Session and Configure
  9. 2. Process Events
  10. 3. Send User Message
  11. 4. Function Calling
  12. Voice Options
  13. Supported Models
  14. Key Types Reference
Ships with 1 file
  • metadata.json
Commands it runs
dotnet add package Azure.AI.VoiceLive
dotnet add package Azure.Identity
dotnet add package NAudio                    # For audio capture/playback
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About this skill
What does the azure-ai-voicelive-dotnet skill do?

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-voicelive-dotnet --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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