What problem does it solve? Writing GitLab CI/CD pipelines from scratch is error-prone and time-consuming, especially when coordinating multi-stage builds, caching strategies, security scanning, and multi-environment Kubernetes deployments. ## Core Features & Use Cases - Multi-Stage Pipeline Templates: Pre-built patterns for build, test, and deploy stages with artifacts, coverage reports, and Docker image publishing to the GitLab Container Registry. - Deployment & Infrastructure Patterns: Ready-to-use configurations for Kubernetes deployments across staging and production environments, Terraform validate/plan/apply workflows, and dynamic child pipelines. - Optimization & Security: Caching strategies for dependencies, SAST/dependency/container scanning templates, and Trivy vulnerability scanning. - Use Case: You need to set up CI/CD for a Node.js app that builds a Docker image, runs tests with coverage reporting, and deploys to Kubernetes with a manual production gate—this Skill provides the complete .gitlab-ci.yml structure. ## Quick Start Ask the AI to create a GitLab CI pipeline that builds a Docker image, runs tests, and deploys to Kubernetes staging and production environments.