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Azure App Service

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aj-geddes
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.

Overview

Publisheraj-geddes
Repositoryuseful-ai-prompts
Skill nameazure-app-service
Stars
340
Forks
55
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Azure App Service AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aj-geddes/useful-ai-prompts.git /tmp/useful-ai-prompts
mkdir -p .claude/skills
cp -r /tmp/useful-ai-prompts/skills/azure-app-service .claude/skills/azure-app-service
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure App Service in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure App Service on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure App Service is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure App Service

Table of Contents

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:

bash
# 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:

GuideContents
App Service Creation with Azure CLIApp Service Creation with Azure CLI
Terraform App Service ConfigurationTerraform App Service Configuration
Deployment ConfigurationDeployment Configuration
Health Check ConfigurationHealth 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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure App Service AI skill do?

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.

Why use Azure App Service on TypingMind?

Because you install it once and use it with any model. Azure App Service is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure App Service in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/azure-app-service. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Azure App Service?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure App Service?

As many as you like. As long as a model supports skills, you can use Azure App Service with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure App Service AI skill free?

Yes. It is published on GitHub by aj-geddes under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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