Plugin

azure-master

Name: azure-master
Author: josiahsiegel

Provision, manage, and optimize Azure infrastructure with AKS Automatic, Container Apps GPU, ML workspaces, OpenAI services, and Deployment Stacks, guided by Well-Architected Framework best practices and cost optimization.

What's Inside

Agents1

Skill Activation - CRITICAL

/azure-expert

Azure cloud expert agent for infrastructure design, resource management, security best practices, cloud architecture, Azure Machine Learning Workspace (Azure AI Foundry), networking, private endpoints, compute clusters, endpoint deployment, managed identities, ACR integration, storage accounts, all az ml and PowerShell commands, log reading, debugging, Terraform integration, and all Azure services. <example> Context: User needs to train a custom ML model on Azure user: "How do I set up an end-to-end ML training pipeline on Azure?" assistant: "I'll help you build a complete ML pipeline using Azure Machine Learning. Let me load the relevant skills and walk you through workspace setup, data preparation, compute provisioning, training job configuration, and model deployment." <commentary>Triggers for any Azure ML training pipeline question</commentary> </example> <example> Context: User wants to fine-tune a foundation model user: "I want to fine-tune GPT-4o on my custom dataset using Azure AI Foundry" assistant: "I'll guide you through fine-tuning in Azure AI Foundry, including preparing your JSONL training data, selecting the base model, configuring hyperparameters, and deploying the fine-tuned model to a managed endpoint." <commentary>Triggers for Azure AI Foundry fine-tuning and foundation model customization</commentary> </example> <example> Context: User is debugging an Azure ML compute issue user: "My Azure ML compute instance keeps failing to start with a quota error" assistant: "This is a common issue. Let me walk you through checking your subscription quota, requesting increases, choosing alternative VM sizes, and using low-priority compute as a workaround." <commentary>Triggers for Azure ML troubleshooting and debugging</commentary> </example> <example> Context: User needs to deploy infrastructure on Azure user: "Help me set up an AKS cluster with GPU nodes for inference" assistant: "I'll help you configure an AKS Automatic cluster with GPU node pools optimized for ML inference workloads." <commentary>Triggers for general Azure infrastructure and compute questions</commentary> </example> <example> Context: User needs to configure Azure ML workspace networking with private endpoints user: "How do I set up an Azure ML workspace with private endpoints and managed VNet isolation?" assistant: "I'll walk you through the complete network isolation setup including managed VNet modes (AllowInternetOutbound vs AllowOnlyApprovedOutbound), private endpoints for workspace and all dependencies, required DNS zones, and NSG rules for compute subnets." <commentary>Triggers for Azure ML networking, private endpoints, VNet integration, NSG, DNS</commentary> </example> <example> Context: User wants Terraform configuration for Azure ML user: "Create a Terraform configuration for a production Azure ML workspace with private endpoints and compute clusters" assistant: "I'll provide a complete Terraform configuration using azurerm_machine_learning_workspace with managed network isolation, private endpoints for storage/KV/ACR, compute clusters with proper RBAC role assignments, and all required DNS zones." <commentary>Triggers for Terraform azurerm_machine_learning_workspace, compute cluster, private endpoint</commentary> </example> <example> Context: User needs to read Azure ML endpoint deployment logs user: "My managed online endpoint deployment is failing, how do I get the logs?" assistant: "I'll show you how to retrieve logs from all container types using az ml online-deployment get-logs with --container flags for inference-server and storage-initializer, plus Log Analytics queries for comprehensive AmlOnlineEndpointConsoleLog analysis." <commentary>Triggers for Azure ML deployment logs, endpoint troubleshooting, debugging</commentary> </example> <example> Context: User needs to configure managed identities for Azure ML user: "What RBAC roles does the Azure ML workspace identity need on storage and ACR?" assistant: "I'll detail all required role assignments: workspace identity needs Storage Blob Data Contributor and AcrPush, compute cluster identity needs Storage Blob Data Reader and AcrPull, and endpoint identity needs AcrPull and Storage Blob Data Reader. I'll provide the exact az role assignment commands." <commentary>Triggers for Azure ML managed identities, RBAC, ACR pull, storage access roles</commentary> </example> <example> Context: User wants to use PowerShell for Azure ML management user: "What are the Az.MachineLearningServices PowerShell commands for managing ML workspaces and compute?" assistant: "I'll provide the complete Az.MachineLearningServices PowerShell reference including New-AzMLWorkspace, Get-AzMLWorkspaceCompute, Start/Stop-AzMLWorkspaceCompute, New-AzMLWorkspaceOnlineEndpoint, Get-AzMLWorkspaceOnlineDeploymentLog, and all related cmdlets." <commentary>Triggers for PowerShell Az.MachineLearningServices commands</commentary> </example> <example> Context: User needs to choose the right GPU VM SKU for ML training user: "Which GPU VM size should I use for training a large language model on Azure ML?" assistant: "I'll help you choose the right GPU SKU. For LLM training, ND H100 v5 (8x H100) or ND H200 v5 (8x H200) are recommended. For fine-tuning, NC A100 v4 series works well. For inference, NCads H100 v5 or T4 series offer good cost-performance. Note that NCv3 (V100) retires September 2025." <commentary>Triggers for Azure ML GPU VM SKUs, compute sizing, NC/ND/NV series</commentary> </example>

Skills6

aks-automatic-2025

/aks-automatic-2025

This skill should be used when the user asks about "AKS Automatic", "managed Kubernetes", "Karpenter autoscaling", "AKS zero operational overhead", "AKS 2025", "AKS billing model", "NodePool CRD", "HPA VPA KEDA on AKS", "AKS workload identity", or needs guidance on Azure Kubernetes Service Automatic mode GA 2025 features.

azure-ml-foundry-workspace

/azure-ml-foundry-workspace

This skill should be used when the user asks about "Azure Machine Learning workspace", "Azure AI Foundry", "ML workspace networking", "ML private endpoints", "ML compute clusters", "ML compute instances", "ML endpoint deployment", "managed online endpoints", "batch endpoints", "Kubernetes endpoints", "ML managed identities", "ML ACR integration", "ML storage accounts", "az ml CLI commands", "PowerShell Az.MachineLearningServices", "ML compute instance logs", "ML deployment logs", "ML job logs", "ML troubleshooting", "ML debugging", "terraform azurerm_machine_learning_workspace", "terraform ML compute cluster", "ML GPU SKUs", "ML NSG rules", "ML DNS configuration", "ML VNet integration", "ML managed network", "serverless compute", or "ML endpoint logs". Comprehensive deep-dive reference for Azure Machine Learning Workspace (Azure AI Foundry) covering architecture, networking, private endpoints, compute, endpoints, managed identities, ACR, storage, all az ml CLI commands, PowerShell commands, log reading, debugging, and Terraform integration.

azure-openai-2025

/azure-openai-2025

This skill should be used when the user asks about "Azure OpenAI", "GPT-5", "GPT-4.1", "Azure reasoning models", "o3 model", "o4-mini", "Azure AI Foundry models", "Azure OpenAI deployment", "Azure OpenAI SDK", "Sora on Azure", or needs guidance on Azure OpenAI Service 2025 models and deployment patterns.

azure-well-architected-framework

/azure-well-architected-framework

This skill should be used when the user asks about "Well-Architected Framework", "Azure reliability", "Azure security best practices", "Azure cost optimization", "Azure performance efficiency", "operational excellence", "cloud architecture review", "Azure design principles", or needs guidance on building robust, secure, cost-effective Azure solutions.

container-apps-gpu-2025

/container-apps-gpu-2025

This skill should be used when the user asks about "Container Apps GPU", "serverless GPU", "Container Apps Dapr", "Container Apps scale-to-zero", "Container Apps AI workloads", "Container Apps jobs", "Container Apps Foundry Models", or needs guidance on Azure Container Apps with GPU support and serverless capabilities (2025 GA features).

Stats

Version1.3.0

LanguageShell

Stars37

Forks7

Copy clicks2

MaintenanceGood

LicenseMIT

Last CommitMar 17, 2026

AddedDec 9, 2025

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Safety Signals

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Uses power tools

Uses Bash, Write, or Edit tools

Claude Plugin Marketplace

A curated collection of Claude Code plugins for plugin development, context optimization, cloud infrastructure, DevOps automation, and productivity tools

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1. Add this marketplace:

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📦 Available Plugins

Core Development Tools

plugin-master v2.2.0 (Docs) - Complete plugin development with Agent Skills, hooks, MCP integration, testing, and Git Bash/Windows compatibility
context-master v2.2.0 (Docs) - Universal context management with Windows/Git Bash support and cross-platform file operation guidance

Cloud & Infrastructure

azure-master v1.1.0 (Docs) - Azure cloud with 2025 features, Git Bash/Windows CLI compatibility, and ARM/Bicep cross-platform deployments
azure-to-docker-master v1.2.0 (Docs) - Azure-to-Docker migration with Git Bash volume mount fixes and cross-platform Docker Compose
terraform-master v1.7.0 (Docs) - Terraform with Git Bash path handling, shell detection, and cross-platform state operations

DevOps & CI/CD

docker-master v1.5.0 (Docs) - Docker with Git Bash volume mount fixes, MINGW path conversion solutions, and Windows compatibility
ado-master v1.5.0 (Docs) - Azure DevOps with Git Bash agent compatibility, Windows pipeline patterns, and shell detection
git-master v1.5.0 (Docs) - Git 2.51 with Git Bash path conversion, stash import/export, and shell detection patterns

Scripting & Automation

bash-master v1.5.0 (Docs) - Bash 5.3 with comprehensive Git Bash/MINGW path conversion, shell detection, and Claude Code issue #2602 solutions
powershell-master v1.5.0 (Docs) - PowerShell with comprehensive shell detection (PowerShell vs Git Bash), cross-shell compatibility, and Windows environment expertise

Testing & Quality

test-master v1.6.0 (Docs) - Vitest 4.0 + Playwright 1.56 AI agents with Windows/Git Bash test execution compatibility and cross-platform testing

Backend & Microservices

dotnet-microservices-master v1.0.0 (Docs) - .NET microservices architecture expert with Docker, DDD, CQRS, and cloud-native patterns based on Microsoft's official guide

Languages & Frameworks

python-master v1.0.0 (Docs) - Python 3.13+ expertise with free-threading, JIT, asyncio, type hints, FastAPI, uv package management, pytest, and Cloudflare deployment
react-master v1.0.0 (Docs) - React 19 expertise with Server/Client Components, hooks, state management, TypeScript, and testing patterns
nextjs-master v1.0.0 (Docs) - Next.js 15 expertise with App Router, Server Actions, caching, middleware, NextAuth.js, and deployment
tailwindcss-master v1.0.0 (Docs) - Tailwind CSS v4 expertise with CSS-first configuration, responsive design, dark mode, and framework integration
ffmpeg-master v1.0.0 (Docs) - FFmpeg expertise with video/audio encoding, hardware acceleration, streaming, Docker, and Cloudflare deployment

Database & Data

ssdt-master v1.6.0 (Docs) - SQL Server with Git Bash SqlPackage compatibility, path conversion for database deployments, and Windows shell detection
adf-master v3.3.0 (Docs) - Azure Data Factory with Git Bash npm build fixes, Windows CI/CD compatibility, and cross-platform deployment scripts

azure-master

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azure-master

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Claude Plugin Marketplace

🚀 Quick Start

📦 Available Plugins

Core Development Tools

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Claude Plugin Marketplace

🚀 Quick Start

📦 Available Plugins

Core Development Tools

Cloud & Infrastructure

DevOps & CI/CD

Scripting & Automation

Testing & Quality

Backend & Microservices

Languages & Frameworks

Database & Data

Platform-Specific

Popularity

Health & Quality

More by JosiahSiegel

powershell-master

python-master

context-master

salesforce-master

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