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Devops Engineer

Checked
olehsvyrydov·vlatest·devops·MIT

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

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 olehsvyrydov/ai-development-team --skill devops-engineer --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

olehsvyrydov

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 olehsvyrydov/ai-development-team at 19d1164f9e.

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

Commit
19d1164f9e
Manifest
claude/skills/operations/devops/devops-engineer/SKILL.md
Scanned
2 files, 854 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 allows an AI agent to perform DevOps tasks, including automating infrastructure provisioning and configuration management. It can streamline deployment processes and manage application lifecycle through scripting and automation tools. The agent can also assist in monitoring system performance and troubleshooting issues within a development environment.

When to use it

  • Automating the setup of new development environments for software engineers.
  • Deploying code changes to staging or production servers with minimal manual intervention.
  • Troubleshooting infrastructure-related errors reported by developers.
  • Managing configuration files and ensuring consistency across multiple systems.

Key capabilities

  • Infrastructure provisioning
  • Configuration management
  • Deployment automation
  • System monitoring
  • Scripting & Automation

Example prompts

  • "Create a new development environment with Python 3.9, Docker, and Kubernetes."
  • "Deploy the latest version of the 'webapp' application to the staging server."
  • "Check the CPU usage on all servers in the production cluster."
  • “Automate the process of updating database schema.”

Tips & gotchas

This skill requires a basic understanding of DevOps principles and common tools like Docker, Kubernetes, and scripting languages. Ensure the AI agent has appropriate access credentials to interact with your infrastructure securely.