Is it compatible with Terraform?

Yes, it features a dedicated multi-stage pattern for Terraform validate, plan, and apply workflows with manual approval gates.

How does this skill help with pipeline performance?

It provides optimized caching strategies and artifact handling patterns to reduce redundant steps and speed up build times across distributed runners.

Does it include security features?

Absolutely. The skill provides templates for SAST, dependency scanning, and container vulnerability scanning with tools like Trivy.

Can I use this for Kubernetes deployments?

Yes, it includes specific patterns for deploying to Kubernetes, managing environments, and verifying rollouts using kubectl.

GitLab CI Pipeline Patterns

Name: GitLab CI Pipeline Patterns
Author: amurata

byamurata

•

Despliegue y DevOps

Standardizes and accelerates the creation of robust GitLab CI/CD pipelines using industry best practices.

Acerca de

This skill provides a comprehensive library of GitLab CI/CD patterns designed to streamline automated testing, building, and deployment workflows. It offers ready-to-use templates for multi-stage pipelines, advanced caching strategies to reduce build times, and secure deployment configurations for Kubernetes and Terraform. Whether you are setting up a new project or optimizing existing automation, this skill helps implement scalable, production-grade CI/CD pipelines with integrated security scanning and environment management directly within your Claude Code environment.

Características Principales

Docker-in-Docker (DinD) build and registry push configurations.
Multi-stage pipeline templates for build, test, and deploy cycles.
Integrated security scanning templates including SAST and Container scanning.
Infrastructure-as-Code patterns for Terraform and Kubernetes deployments.
Advanced caching and artifact management strategies to optimize performance.
3 GitHub stars

Casos de Uso

Implementing GitOps workflows and infrastructure automation with Terraform.
Automating full-stack application deployments to Kubernetes environments.
Optimizing slow CI pipelines through strategic caching and distributed runners.

Acerca de

Características Principales

Docker-in-Docker (DinD) build and registry push configurations.
Multi-stage pipeline templates for build, test, and deploy cycles.
Integrated security scanning templates including SAST and Container scanning.
Infrastructure-as-Code patterns for Terraform and Kubernetes deployments.
Advanced caching and artifact management strategies to optimize performance.
3 GitHub stars

Casos de Uso

Implementing GitOps workflows and infrastructure automation with Terraform.
Automating full-stack application deployments to Kubernetes environments.
Optimizing slow CI pipelines through strategic caching and distributed runners.