Can I use this for Docker builds?

Yes, it includes specific patterns for Docker-in-Docker (DinD) builds, registry authentication, and multi-tag image pushing.

What does the GitLab CI Patterns skill do?

It provides Claude with expert knowledge and reusable templates to design, debug, and optimize GitLab CI/CD pipelines for any technology stack.

Does it support automated security scanning?

Absolutely. It integrates GitLab's native security templates and third-party tools like Trivy for comprehensive SAST and container scanning.

How does it help with pipeline performance?

It provides industry-standard best practices for dependency caching and artifact management to significantly reduce build times and resource usage.

GitLab CI Pipeline Patterns

Name: GitLab CI Pipeline Patterns
Author: Microck

byMicrock

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110

Deployment & DevOps

Architects scalable GitLab CI/CD pipelines with multi-stage workflows, optimized caching, and secure deployment strategies.

About

This skill provides production-ready templates and best practices for building robust GitLab CI/CD pipelines. It enables users to implement complex automation workflows, including Docker container builds, multi-environment Kubernetes deployments, Infrastructure as Code (Terraform) integration, and automated security scanning. By utilizing efficient caching strategies and dynamic child pipelines, it helps optimize pipeline performance while maintaining security through built-in SAST and dependency scanning patterns, making it ideal for teams scaling their DevOps maturity.

Key Features

110 GitHub stars
Multi-stage pipeline architecture (Build, Test, Deploy)
Advanced caching and artifact management techniques
Docker and Docker-in-Docker (DinD) build patterns
Integrated security scanning (SAST, Trivy, and Secrets)
Multi-environment Kubernetes deployment strategies

Use Cases

Setting up Infrastructure as Code (IaC) pipelines using Terraform
Optimizing CI/CD build times through advanced caching strategies
Automating full-stack application deployment to Kubernetes

About

Key Features

110 GitHub stars
Multi-stage pipeline architecture (Build, Test, Deploy)
Advanced caching and artifact management techniques
Docker and Docker-in-Docker (DinD) build patterns
Integrated security scanning (SAST, Trivy, and Secrets)
Multi-environment Kubernetes deployment strategies

Use Cases

Setting up Infrastructure as Code (IaC) pipelines using Terraform
Optimizing CI/CD build times through advanced caching strategies
Automating full-stack application deployment to Kubernetes