Use Case
Stop doing repetitive design & creative tasks manually. Azure Ai Voicelive Py lets your AI agent handle them automatically through natural conversation. Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription. This guide shows practical examples of using Azure Ai Voicelive Py to automate common design & creative workflows and save hours every week.
Install Azure Ai Voicelive Py: npx clawhub@latest --dir ~/.claude/skills install azure-ai-voicelive-py
Identify the repetitive design & creative tasks you want to automate
Describe the task to your AI in plain English
Azure Ai Voicelive Py will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Azure Ai Voicelive Py
Automate my design & creative tasks using Azure Ai Voicelive Py
What repetitive tasks can Azure Ai Voicelive Py handle for me?
Set up a workflow that runs Azure Ai Voicelive Py every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install azure-ai-voicelive-pyOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install azure-ai-voicelive-pyβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/azure-ai-voicelive-py/π‘Extract and place the folder at the path above, then restart your agent.