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Azure Prepare

Official
microsoft·vlatest·cloud

Prepares Azure environments—resources, networking, security—for seamless deployment and optimal performance.

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-prepare --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.

Scanned
60 files, 6,806 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-prepare skill automates the preparation of Azure environments for development and deployment tasks. It handles infrastructure setup, resource provisioning, and configuration management to streamline workflows in cloud-based projects.

When to use it

  • Before deploying a new application to Azure, to ensure all required resources are provisioned.
  • When setting up a development or testing environment on Azure with consistent configurations.
  • To automate repetitive tasks like creating virtual machines, storage accounts, and networking components.

Key capabilities

  • Infrastructure as Code (IaC) automation using templates.
  • Resource provisioning for compute, storage, and networking.
  • Configuration management to ensure consistency across environments.

Example prompts

  • "Prepare an Azure environment with a virtual machine and a storage account."
  • "Set up a development environment on Azure with specific network configurations."
  • "Automate the creation of a resource group and associated resources for my application deployment."

Tips & gotchas

  • Ensure you have appropriate Azure credentials and permissions before running preparation tasks.
  • Review templates and configurations to avoid unnecessary costs from over-provisioning resources.