Azure Master

Complete Azure cloud expertise covering 2025-2026 features. This plugin should be used for ANY Azure resource provisioning, AKS Automatic, Container Apps GPU, Azure OpenAI (GPT-5, reasoning models), Deployment Stacks, Azure ML workspaces, AI Foundry, compute clusters, endpoints, Terraform, networking, private endpoints, managed identities, debugging, and cost optimization.

by @josiahsiegel 6 skills

Install

npx skillmds@latest add plugin:josiahsiegel/azure-master

One command, no setup. In Claude Code it lands as a managed plugin you can enable, disable or remove with /plugin. On any other agent it installs the 6 skills into that agent's own folder.

Or inside Claude Code

In the Plugins tab, add this marketplace:

skillmds/skillmd
/plugin install josiahsiegel-azure-master@skillmd

Adds the marketplace once; later plugins need the second line only.

Or install by hand

Download the plugin and unzip its skills/ folder into your agent's skills directory. Works with every agent, no CLI needed.

Download plugin Paths per agent

Just the markdown? SKILL.md files only.

This plugin

skills: 6
authors: 1

Published by a registry member. Review its skills before installing.

Skills in this plugin

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Azure Openai 2025 · josiahsiegel bundle
Azure OpenAI Service and Azure AI Foundry models (2025-2026). PROACTIVELY activate for: (1) deploying Azure OpenAI models (GPT-5, GPT-4.1, GPT-4o), (2) Azure reasoning models (o3, o4-mini), (3) Azure AI Foundry model catalog selection, (4) Azure OpenAI SDK usage (Python, .NET, JavaScript), (5) Sora on Azure for video generation, (6) deployment SKUs (Standard, Provisioned Throughput Units, Global Standard, DataZone), (7) regional availability and quota management, (8) content filters and safety policies, (9) on-your-data scenarios with retrieval, (10) embedding models and vector search. Provides: model selection matrix, SKU/quota guidance, SDK setup recipes, content-filter configuration, and on-your-data patterns.

1 install
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Aks Automatic 2025 · josiahsiegel
Azure Kubernetes Service (AKS) Automatic mode and 2025 platform features. PROACTIVELY activate for: (1) AKS Automatic (managed Kubernetes, zero operational overhead), (2) Karpenter-based autoscaling on AKS, (3) NodePool CRD usage, (4) HPA, VPA, KEDA on AKS, (5) workload identity and Microsoft Entra integration, (6) AKS billing model (Automatic vs Standard), (7) AKS 2025 cluster defaults (RBAC, Azure CNI overlay, Cilium), (8) AKS upgrade and version management, (9) GitOps on AKS (Flux, ArgoCD), (10) AKS observability (Azure Monitor for containers, Managed Prometheus). Provides: AKS Automatic vs Standard comparison, Karpenter setup, workload-identity recipes, KEDA scaler patterns, and an end-to-end AKS Automatic deployment guide.

1 install
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Deployment Stacks 2025 · josiahsiegel bundle
Azure Deployment Stacks for unified resource lifecycle management. PROACTIVELY activate for: (1) Azure Deployment Stacks (GA replacement for Azure Blueprints), (2) deny settings (DenyDelete, DenyWriteAndDelete) for resource protection, (3) ActionOnUnmanage behavior (delete, detach), (4) Bicep deployment stacks, (5) cross-subscription stack deployments, (6) updating an existing stack (resource adoption), (7) inspecting stack resources and history, (8) stack vs traditional deployment tradeoffs, (9) GitOps with deployment stacks. Provides: Bicep stack templates, az stack CLI reference, deny-settings matrix, and migration guidance from Blueprints.

1 install
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Container Apps Gpu 2025 · josiahsiegel
Azure Container Apps with GPU support, serverless capabilities, and Foundry Models. PROACTIVELY activate for: (1) Container Apps GPU (serverless GPU workloads), (2) Container Apps with Dapr integration, (3) scale-to-zero AI workloads, (4) Container Apps Jobs (one-shot, scheduled, event-driven), (5) Container Apps Foundry Models integration, (6) revisions and traffic splitting, (7) custom domains and managed certificates, (8) ingress and authentication, (9) Container Apps Environment configuration, (10) Workload Profiles (Consumption vs Dedicated). Provides: GPU SKU reference, scale rule examples (HTTP, KEDA), Dapr building-block recipes, traffic-split patterns, and end-to-end serverless GPU deployment.

1 install
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Azure Ml Foundry Workspace · josiahsiegel bundle
Azure Machine Learning Workspace and Azure AI Foundry deep dive. PROACTIVELY activate for: (1) creating and configuring Azure ML workspaces, (2) Azure AI Foundry hubs and projects, (3) ML workspace networking (managed VNet, private endpoints, DNS), (4) ML compute clusters and compute instances, (5) managed online endpoints, batch endpoints, Kubernetes endpoints, (6) managed identities for ML resources, (7) ACR integration for custom environments, (8) storage account configuration, (9) az ml CLI v2 commands, (10) PowerShell Az.MachineLearningServices, (11) reading ML compute and deployment logs, (12) GPU SKU selection (ND/NC series, H100/H200/A100). Provides: workspace setup playbook, network-isolation patterns, endpoint deployment templates, az ml CLI cheat sheet, and log diagnosis workflow.

1 install
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Azure Well Architected Framework · josiahsiegel
Azure Well-Architected Framework (WAF) for cloud architecture review. PROACTIVELY activate for: (1) Azure architecture review or design, (2) Reliability pillar (availability zones, geo-replication, backup/restore, RPO/RTO), (3) Security pillar (Zero Trust, encryption at rest/in transit, identity, network segmentation), (4) Cost Optimization pillar (rightsizing, reserved instances, savings plans, FinOps), (5) Operational Excellence pillar (IaC, observability, automation), (6) Performance Efficiency pillar (caching, autoscaling, async patterns), (7) Sustainability pillar, (8) WAF Reviews via the WAF Assessment Tool, (9) Microsoft Cloud Adoption Framework (CAF) alignment. Provides: pillar-by-pillar checklist, WAF assessment workflow, common antipatterns by pillar, and Azure Advisor mapping.

1 install