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Cloud Devops Expert

Checked
oimiragieo·vlatest·cloud

Automates cloud infrastructure provisioning, CI/CD pipeline creation, and DevOps best practices for faster deployments.

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 oimiragieo/agent-studio --skill cloud-devops-expert -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

oimiragieo

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 oimiragieo/agent-studio at 64b580eab2.

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

Commit
64b580eab2
Manifest
.claude/skills/cloud-devops-expert/SKILL.md
Scanned
10 files, 561 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 empowers AI agents to act as expert-level DevOps engineers, managing complex cloud infrastructure and automation workflows. It enables agents to handle tasks ranging from container orchestration to CI/CD pipeline creation across major cloud providers.

When to use it

  • Automating the deployment of microservices to Kubernetes clusters on AWS or Azure.
  • Generating secure Terraform scripts to provision cloud resources like VPCs and load balancers.
  • Debugging failing Jenkins or GitHub Actions pipelines by analyzing logs and suggesting fixes.
  • Creating infrastructure-as-code templates that enforce compliance policies across environments.

Key capabilities

  • Orchestrates containerized applications using Docker and Kubernetes.
  • Manages Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
  • Builds and maintains CI/CD pipelines for automated testing and deployment.
  • Monitors cloud system health and implements alerting strategies.

Example prompts

  • "Create a Terraform script to set up a secure VPC with public and private subnets on AWS."
  • "Debug why my Kubernetes pod is failing to start by analyzing the event logs."
  • "Design a CI/CD pipeline that runs unit tests, builds Docker images, and deploys them to production."

Tips & gotchas

Ensure your AI agent has read-only access to cloud credentials initially to prevent accidental data loss or configuration errors. Always review generated infrastructure code before applying it to live environments to validate security configurations.