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Deployment Engineer

Checked
rmyndharis·vlatest·devops·MIT

Automates infrastructure provisioning, configuration management, and application deployment pipelines using best practices.

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 rmyndharis/antigravity-skills --skill deployment-engineer -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 171 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

This skill automates deployment tasks, streamlining the process of releasing software updates and new applications. It handles infrastructure provisioning, configuration management, and application deployment across various environments. The skill aims to reduce manual effort and improve the speed and reliability of deployments.

When to use it

  • Automating a release to production after successful testing in staging.
  • Provisioning new servers or virtual machines for a microservice architecture.
  • Deploying a containerized application (e.g., Docker) to Kubernetes.
  • Managing configuration changes across multiple environments (dev, test, prod).

Key capabilities

  • Infrastructure provisioning
  • Configuration management
  • Application deployment
  • Environment support (multiple environments)
  • Container deployment (Docker/Kubernetes)

Example prompts

  • "Deploy the latest version of the 'webapp' application to the staging environment."
  • "Provision three new EC2 instances for the database cluster."
  • "Update the configuration file for the 'api' service in production."

Tips & gotchas

This skill requires access to your cloud provider or deployment infrastructure. Ensure the AI agent has appropriate credentials and permissions before attempting any deployments.