Skip to content
TrustedSkillsbeta
Back to all skills

Azure Deploy

Official
microsoft·vlatest·cloud

Official microsoft skill covering Azure, deployment for deploying and managing cloud infrastructure.

Repositoryskills.sh

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add microsoft/github-copilot-for-azure --skill azure-deploy --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

microsoft

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned microsoft/github-copilot-for-azure at f2526ae581.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f2526ae581
Manifest
plugins/azure-skills/skills/azure-deploy/SKILL.md
Scanned
42 files, 3,292 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The azure-deploy skill enables AI agents to deploy applications and resources on Microsoft Azure. It supports automation of deployment workflows, including provisioning virtual machines, configuring networks, deploying containers, and managing infrastructure as code (IaC) through tools like ARM templates or Terraform.

When to use it

  • Automating the deployment of web apps or microservices to Azure environments.
  • Setting up cloud infrastructure for development, testing, or production workloads.
  • Integrating CI/CD pipelines with Azure DevOps or GitHub Actions for automated deployments.

Key capabilities

  • Deployment of virtual machines and containers on Azure.
  • Support for Infrastructure as Code (IaC) using ARM templates or Terraform.
  • Integration with Azure DevOps and CI/CD tools for automation.

Example prompts

  • "Deploy a web app to Azure App Service using the provided Docker image."
  • "Create an Azure virtual machine with specific configurations using an ARM template."
  • "Set up a Kubernetes cluster on Azure AKS and deploy a containerized application."

Tips & gotchas

  • Ensure that your AI agent has access to valid Azure credentials and appropriate permissions for deployment.
  • Be mindful of costs, as deploying resources in Azure can incur charges based on usage.