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Azd Deployment

Checked
sickn33·vlatest·devops·MIT

Automates Azure DevOps deployments, triggering pipelines and managing releases based on provided parameters and configurations.

Repository

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 sickn33/agentic-awesome-skills --skill azd-deployment -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

sickn33

Taken from the source listing. We haven't verified who controls this account.

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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/azd-deployment/SKILL.md
Scanned
1 file, 280 lines
Copies in repo
3 — all of them scanned
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

This skill enables AI agents to deploy applications using the Azure Developer CLI (azd). It streamlines the process of provisioning infrastructure and deploying code directly to Azure environments.

When to use it

  • Automating the full lifecycle of application deployment from source code to running services on Azure.
  • Provisioning required Azure resources like App Services, Container Apps, or Kubernetes clusters automatically.
  • Executing standardized deployment pipelines that ensure consistency across development and production environments.
  • Integrating with existing CI/CD workflows to trigger deployments upon code commits.

Key capabilities

  • Executes azd commands for infrastructure provisioning and application deployment.
  • Manages environment-specific configurations through .env files and project templates.
  • Supports multiple Azure resource types including web apps, containers, and serverless functions.
  • Handles authentication and authorization for secure cloud operations.

Example prompts

  • "Deploy my Python Flask application to an Azure App Service using the azd CLI."
  • "Provision a new Azure Container Apps environment and deploy my Docker image there."
  • "Run azd up to provision all resources and deploy my project in the 'dev' environment."

Tips & gotchas

Ensure your AI agent has valid Azure credentials configured before attempting deployment. The skill relies on existing azd project templates, so a properly structured project directory is required for successful execution.