azure-avatar
Build real-time AI avatars using Azure Voice Live API and GPT-Realtime with WebRTC/WebSocket streaming. Supports two modes for interactive avatar applications.
Browse published AI skills maintained by samelhousseini. Compare skill descriptions and follow each source repository for setup instructions.
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Build real-time AI avatars using Azure Voice Live API and GPT-Realtime with WebRTC/WebSocket streaming. Supports two modes for interactive avatar applications.
Hybrid Agentic Workflows - Build production-ready multi-agent systems with Microsoft Agent Framework (client-side) and Azure AI Foundry Agent Service (cloud-managed). Supports MCP integration and multi-agent or...
Track, evaluate, and analyze multi-agent AI workflows using Azure AI Foundry cloud evaluations. Use when logging agent trajectories, computing evaluation metrics, measuring plan adherence, or generating workflo...
Configure and use MCP (Model Context Protocol) servers in VS Code. Use when setting up MCP servers, configuring mcp.json, using MCP tools in chat, managing server trust, or troubleshooting MCP connections.
Azure AI Speech Fast Transcription - Transcribe contact center calls with speaker identification using stereo channel separation or mono diarization. Returns results synchronously and faster than real-time.
Azure PostgreSQL AI Integration - Vector search, RAG pipelines, and agent memory with pgvector and azure_ai extensions
Build cost-optimized chat applications with Azure OpenAI Model Router that intelligently routes queries to the most appropriate model based on complexity, achieving up to 60% cost savings.
Process multimodal content (documents, images, audio, video) using Azure AI Content Understanding. Use when extracting structured data from invoices, receipts, IDs, analyzing media files, or building multimodal...
Build enterprise RAG solutions using Foundry IQ with Azure AI Search agentic retrieval. Use when implementing policy assistants, knowledge bases with citations, or multi-hop question answering systems.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.