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Devops Workflow Engineer

Listed
borghei·vlatest·devops

Automates CI/CD pipelines, infrastructure provisioning, and deployment tasks using best practices and IaC principles.

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 borghei/claude-skills --skill devops-workflow-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

borghei

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • engineering/devops-workflow-engineer/scripts/workflow_generator.py:132Kubernetes credentials
      echo "${{ secrets.KUBECONFIG }}" | base64 -d > $HOME/.kube/config

  • 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 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 borghei/claude-skills at 4a698e8d07.

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

Commit
4a698e8d07
Manifest
engineering/devops-workflow-engineer/SKILL.md
Scanned
10 files, 4,966 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 AI agents to automate and optimize DevOps workflows. It can generate infrastructure as code (IaC), manage CI/CD pipelines, and troubleshoot deployment issues. The agent understands common DevOps tools and practices, enabling efficient and repeatable processes.

When to use it

  • Automating Infrastructure Provisioning: Quickly spin up development or staging environments using IaC templates.
  • Managing CI/CD Pipelines: Define and maintain automated build, test, and deployment pipelines for software releases.
  • Troubleshooting Deployment Failures: Analyze logs and identify the root cause of issues during deployments.
  • Generating Configuration Files: Create configuration files (e.g., Kubernetes manifests, Terraform configurations) based on specifications.

Key capabilities

  • Infrastructure as Code generation
  • CI/CD pipeline management
  • Deployment troubleshooting
  • Configuration file creation

Example prompts

  • "Generate a Terraform script to create an AWS EC2 instance with these specifications..."
  • "Create a GitHub Actions workflow for deploying this application to Kubernetes."
  • "Analyze the deployment logs and identify why the service failed to start."
  • “Write a Dockerfile for my Python application.”

Tips & gotchas

The agent's effectiveness depends on providing clear and detailed specifications. Familiarity with DevOps concepts and tools will improve prompt results.