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Devops Cloud

Checked
travisjneuman·vlatest·cloud·MIT

Automates DevOps tasks like CI/CD pipeline setup, cloud infrastructure provisioning, and configuration management 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 travisjneuman/.claude --skill devops-cloud -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

travisjneuman

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 travisjneuman/.claude at 050878886e.

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

Scanned
1 file, 608 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 provides DevOps and Cloud expertise to AI agents. It enables automated deployments, infrastructure management, and cloud resource optimization through scripting and configuration as code. The agent can assist with tasks like setting up CI/CD pipelines, managing Kubernetes clusters, and automating server provisioning.

When to use it

  • Automating the deployment of a new application to AWS or Azure.
  • Troubleshooting issues in a Kubernetes cluster.
  • Generating infrastructure-as-code (IaC) scripts for Terraform or CloudFormation.
  • Creating a CI/CD pipeline using Jenkins or GitLab CI.
  • Optimizing cloud resource utilization and reducing costs.

Key capabilities

  • Infrastructure as Code (IaC) generation
  • CI/CD Pipeline automation
  • Kubernetes cluster management
  • Cloud Resource Optimization
  • Automated deployments

Example prompts

  • "Create a Terraform script to provision an EC2 instance in AWS."
  • "Generate a Jenkinsfile for building and deploying my Node.js application."
  • "Help me troubleshoot why my Kubernetes pod is failing."
  • "Show me how to optimize my Azure cloud spending."

Tips & gotchas

This skill requires familiarity with DevOps concepts and tools like Terraform, CloudFormation, Kubernetes, Jenkins, or GitLab CI. The agent's output should be reviewed and tested before applying it to production environments.