What problem does it solve? Setting up deployment automation requires deep knowledge of CI/CD pipelines, containerization, Kubernetes, and infrastructure as code. This Skill encodes senior DevOps engineering practices so an AI agent can produce correct pipeline configs, Dockerfiles, K8s manifests, and Terraform templates with built-in safety guardrails like rollback plans and production approval gates. ## Core Features & Use Cases - CI/CD Pipeline Generation: Create GitHub Actions, GitLab CI, or Jenkins pipelines with testing, image building, security scanning, and staged deployments. - Containerization & Orchestration: Write multi-stage Dockerfiles, Docker Compose setups, and Kubernetes manifests with health probes, resource limits, and HPA autoscaling. - Infrastructure as Code & Incident Response: Generate Terraform/Pulumi templates, GitOps configurations with ArgoCD, deployment strategies (blue-green, canary, rolling), runbooks, and postmortem templates. - Use Case: You need to containerize a Node.js API and deploy it to Kubernetes with a GitHub Actions pipeline. The Skill produces a hardened multi-stage Dockerfile, a CI workflow with Trivy image scanning, K8s Deployment/Service/Ingress manifests, and a documented rollback procedure. ## Quick Start Ask the agent to create a GitHub Actions CI/CD pipeline and Kubernetes deployment manifests for your application, including a rollback plan.