Cloud Devops Expert

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by oimiragieo · vlatest · Repository

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

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add cloud-devops-expert npx -- -y @trustedskills/cloud-devops-expert
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "cloud-devops-expert": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/cloud-devops-expert"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

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.

Tags

🛡️

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Details

Version
vlatest
License
Author
oimiragieo
Installs
37

🌐 Community

Passed automated security scans.