What problem does it solve? Writing GitLab CI/CD configuration from scratch is error-prone and time-consuming, especially when coordinating multi-stage builds, caching, security scanning, and multi-environment deployments. ## Core Features & Use Cases - Pipeline Templates: Ready-to-adapt YAML patterns for build, test, and deploy stages with artifacts, coverage reports, and caching strategies. - Deployment Patterns: Docker image builds with registry pushes, Kubernetes deployments to staging and production, and Terraform validate/plan/apply workflows. - Advanced Automation: Security scanning with SAST and Trivy, dynamic child pipelines, and manual approval gates for production releases. - Use Case: You need to set up CI/CD for a Node.js app that builds a Docker image, runs tests with coverage, and deploys to Kubernetes production only after manual approval—this Skill provides the complete .gitlab-ci.yml structure. ## Quick Start Ask the AI to generate a GitLab CI pipeline that builds a Docker image, runs tests, and deploys to Kubernetes with a manual production gate.