By juliopessan
Microsoft Azure MCP and Skills integration for cloud resource management, deployments, and Azure services. Manage your Azure infrastructure, monitor applications, and deploy resources directly from Claude Code.
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
Assess and migrate cross-cloud workloads to Azure with migration reports and code conversion. Supports AWS Lambda→Functions and GCP Cloud Run→Container Apps. WHEN: migrate Lambda to Azure Functions, migrate AWS to Azure, Lambda migration assessment, convert serverless to Azure, migration readiness report, migrate from AWS, migrate from GCP, Cloud Run to Container Apps, Cloud Run migration assessment.
Matches all tools
Hooks run on every tool call, not just specific ones
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter. The Azure Skills Plugin packages Azure expertise and MCP-backed execution together so compatible coding agents can do real Azure work instead of giving generic cloud advice.
This plugin ships 20 curated Azure skills that teach an agent how Azure work gets done. They provide workflows, decision trees, and guardrails for scenarios such as:
azure-prepare, azure-validate, and azure-deployazure-diagnostics, azure-observability, and azure-complianceazure-cost-optimization, azure-compute, and azure-resource-visualizerazure-ai, azure-aigateway, azure-storage, azure-kusto, azure-rbac, azure-cloud-migrate, entra-app-registration, and microsoft-foundryThe plugin wires in the Azure MCP Server, which gives your agent 200+ structured tools across 40+ Azure services. That is the execution layer for listing resources, checking prices, querying logs, diagnosing issues, and driving real Azure workflows.
The plugin also includes Foundry MCP for Microsoft Foundry scenarios such as model discovery, model deployment, and agent workflows.
This is not a prompt pack. It is a packaged Azure capability layer:
| Component | What it adds | Examples |
|---|---|---|
| Azure skills | Azure expertise, workflows, and guardrails | Prepare, validate, deploy, diagnostics, cost, AI, RBAC |
| Azure MCP Server | Live Azure tooling | Resource inventory, monitoring, pricing, storage, databases, messaging |
| Foundry MCP | Microsoft Foundry workflows | Model catalog, deployments, agents, evaluations |
The plugin payload lives in .github/plugins/azure-skills/, and the included MCP configuration shows how Azure and Foundry connectivity are wired for compatible hosts.
Before you install, make sure you have:
npx is used to start the MCP servers)az loginazd auth login if you plan to use deployment workflowsAdd the marketplace (first time only):
/plugin marketplace add microsoft/azure-skills
Install the plugin:
/plugin install azure@azure-skills
Update the plugin:
/plugin update azure@azure-skills
Install the Azure MCP extension from the Visual Studio Marketplace:
The Azure MCP extension will also install a companion extension that brings the Azure skills into VS Code. Together they configure the Azure MCP Server, Foundry MCP, and the full skills layer automatically.
Note: The skills extension requires Git CLI to be installed on your machine. If you don't have it, ask Copilot to help you install Git for your OS.
Install the plugin — either run:
/plugin install azure@claude-plugins-official
Or run /plugin and search for "azure" in the marketplace:

Update the plugin:
/plugin update azure@claude-plugins-official
Install the extension:
gemini extensions install https://github.com/microsoft/azure-skills
You can install the Azure plugin from the Cursor Marketplace or directly from Cursor settings by navigating to Settings > Plugins and searching for "Azure":

Add the marketplace (first time only):
codex plugin marketplace add microsoft/azure-skills
Install the plugin:
npx claudepluginhub juliopessan/azure-skillsConsult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.