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Azure Functions

Community
aj-geddes
azure-functions

Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.

Overview

Publisheraj-geddes
Repositoryuseful-ai-prompts
Skill nameazure-functions
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 Functions 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-functions .claude/skills/azure-functions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Functions 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 Functions 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 Functions 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 Functions

Table of Contents

Overview

Azure Functions enables serverless computing on Microsoft Azure. Build event-driven applications with automatic scaling, flexible bindings to various Azure services, and integrated monitoring through Application Insights.

When to Use

  • HTTP APIs and webhooks
  • Message-driven processing (Service Bus, Event Hub)
  • Scheduled jobs and CRON expressions
  • File and blob processing
  • Queue-based workflows
  • Real-time data processing
  • Microservices and backend logic
  • Integration with Azure ecosystem services

Quick Start

Minimal working example:

bash
# Install Azure Functions Core Tools
curl https://aka.ms/install-artifacts-ubuntu.sh | bash

# Login to Azure
az login

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

# Create storage account (required for Functions)
az storage account create \
  --name myappstore \
  --location eastus \
  --resource-group myapp-rg \
  --sku Standard_LRS

# Create Function App
az functionapp create \
  --resource-group myapp-rg \
  --consumption-plan-location eastus \
  --runtime node \
  --runtime-version 18 \
  --functions-version 4 \
  --name myapp-function \
  --storage-account myappstore
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Azure Function Creation with Azure CLIAzure Function Creation with Azure CLI
Azure Function Implementation (Node.js)Azure Function Implementation (Node.js)
Azure Functions with TerraformAzure Functions with Terraform
Function Bindings ConfigurationFunction Bindings Configuration

Best Practices

✅ DO

  • Use managed identity for Azure services
  • Store secrets in Key Vault
  • Enable Application Insights
  • Implement idempotent functions
  • Use durable functions for long-running operations
  • Handle exceptions and failures
  • Monitor function execution
  • Use bindings instead of SDK calls

❌ DON'T

  • Store secrets in code or configuration
  • Ignore Application Insights
  • Create functions without error handling
  • Use blocking operations
  • Create long-running functions without Durable Functions
  • Ignore monitoring and logging

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 Functions AI skill do?

Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.

Why use Azure Functions on TypingMind?

Because you install it once and use it with any model. Azure Functions 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 Functions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/azure-functions. 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 Functions?

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 Functions?

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

Is the Azure Functions 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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