Deploy, monitor, and manage Azure services with battle-tested patterns.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install azureOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install azureβ 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/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Azure can do for your AI workflow
Deploy, monitor, and manage directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,708+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Azure
Help me get started with Azure
Explains what Azure does, walks through the setup, and runs a quick demo based on your current project
Use Azure to deploy, monitor, and manage Azure services with battle-tested patterns
Invokes Azure with the right parameters and returns the result directly in the conversation
What can I do with Azure in my developer & devops workflow?
Lists the top use cases for Azure, with example commands for each scenario
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Azure extends your AI assistant with the ability to deploy, monitor, and manage Azure services with battle-tested patterns. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Azure as its underlying capability.
Azure works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Azure once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Azure installs like any other MCP skill: drop the folder into `~/.claude/skills/azure/` for global access, or `.claude/skills/azure/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/azure`, or let the AI decide when it's the right tool for your request.
Azure has been installed 1,708 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/azure/ for personal use (all projects), or .claude/skills/azure/ for project-specific use. Restart your AI client, then invoke with /azure or let the AI discover it automatically.
Azure supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Azure is free to install. Check the repository for licensing information.
Deploy, monitor, and manage Azure services with battle-tested patterns.
Azure is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
Azure Infra
Chat-based Azure infrastructure assistance using Azure CLI and portal context. Use for querying, auditing, and monitoring Azure resources (VMs, Storage, IAM, Functions, AKS, App Service, Key Vault, Azure Monitor, billing, etc.), and for proposing safe changes with explicit confirmation before any write/destructive action.
azure-cli
Comprehensive Azure Cloud Platform management via command-line interface
Azure Ai Voicelive Py
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.
Automate my developer & devops tasks using Azure
Identifies repetitive steps in your workflow and sets up Azure to handle them automatically