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/azure-app-service

Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.

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useful-ai-prompts
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Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill azure-app-service --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/azure-app-service

Context preview

The summary Claude sees to decide when to auto-load this skill.

Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.

SKILL.md

azure-app-service.SKILL.md
name: azure-app-service
description: >
  Deploy and manage web apps using Azure App Service with auto-scaling,
  deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on
  Azure.

Azure App Service

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Azure App Service provides a fully managed platform for building and hosting web applications, REST APIs, and mobile backends. Support multiple programming languages with integrated DevOps, security, and high availability.

When to Use

  • Web applications (ASP.NET, Node.js, Python, Java)
  • REST APIs and microservices
  • Mobile app backends
  • Static website hosting
  • Production applications requiring scale
  • Applications needing auto-scaling
  • Multi-region deployments
  • Containerized applications

Quick Start

Minimal working example:

# Login to Azure
az login

# Create resource group
az group create --name myapp-rg --location eastus

# Create App Service Plan
az appservice plan create \
  --name myapp-plan \
  --resource-group myapp-rg \
  --sku P1V2 \
  --is-linux

# Create web app
az webapp create \
  --resource-group myapp-rg \
  --plan myapp-plan \
  --name myapp-web \
  --deployment-container-image-name nodejs:18

# Configure app settings
az webapp config appsettings set \
  --resource-group myapp-rg \
  --name myapp-web \
  --settings \
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [App Service Creation with Azure CLI](references/app-service-creation-with-azure-cli.md) | App Service Creation with Azure CLI | | [Terraform App Service Configuration](references/terraform-app-service-configuration.md) | Terraform App Service Configuration | | [Deployment Configuration](references/deployment-configuration.md) | Deployment Configuration | | [Health Check Configuration](references/health-check-configuration.md) | Health Check Configuration |

Best Practices

✅ DO

  • Use deployment slots for zero-downtime deployments
  • Enable Application Insights
  • Configure autoscaling based on metrics
  • Use managed identity for Azure services
  • Enable HTTPS only
  • Store secrets in Key Vault
  • Monitor performance metrics
  • Implement health checks

❌ DON'T

  • Store secrets in configuration
  • Disable HTTPS
  • Ignore Application Insights
  • Use single instance for production
  • Deploy directly to production
  • Ignore autoscaling configuration
Read more
Ships withuseful-ai-prompts

488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

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