DanWahlin

GitHub Azure Agentic Journeys — DevOps skill for Claude Code

DevOps community

Idea → Prototype → Reality: Agentic journeys to help you build and deploy applications to Azure using agents and skills.

How to install GitHub Azure Agentic Journeys

This entry records only its repository, not the path inside it, so there is no exact command to give. Open DanWahlin/github-azure-agentic-journeys and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What GitHub Azure Agentic Journeys does

Idea → Prototype → Reality: Agentic journeys to help you build and deploy applications to Azure using agents and skills.

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README

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/DanWahlin/github-azure-agentic-journeys/pulls) [![Azure](https://img.shields.io/badge/Microsoft-Azure-0078D4?logo=microsoftazure&logoColor=white)](https://azure.microsoft.com) [![GitHub Copilot](https://img.shields.io/badge/GitHub-Copilot-000?style=flat-square&logo=github)](https://github.com/features/copilot)

🎯 [What You'll Learn](#what-youll-learn) ✅ [Prerequisites](#prerequisites) 🚀 [Quick Start](#quick-start) 📚 [Journeys](#agentic-journeys) 🧭 [What Each Journey Teaches](#what-each-journey-teaches)

GitHub and Azure Agentic Journeys (Prototype)

**Build and deploy applications to Azure using agents and skills.**

What if you could go from idea to running in Azure and stay focused on your actual product the entire time? With agents handling the infrastructure (Bicep templates, health probes, database wiring, deployment pipelines), you can spend your time on what makes your app interesting instead of what makes it run. *GitHub and Azure Agentic Journeys* shows what that looks like in practice.

![Developer journey: Plan → Agentic AI → Microsoft Foundry → Deploy to Azure](./images/dev-journey.webp)

You pick a stack, write a spec, and hand it to your AI coding assistant, which scaffolds your API, database, and data models from the plan. From there you build out a frontend, add AI capabilities like search and recommendations through Microsoft Foundry, and let an agent generate the Azure infrastructure and deploy it when you're ready to ship. Some agentic journeys are quick deploys of open-source apps while others take you from an empty folder to a full-stack app with AI features running in production!

This is designed for: