Is this compatible with Kubernetes?

Yes, it features deployment patterns for Kubernetes using kubectl, including environment-specific configurations for staging and production.

Does it support security testing?

Absolutely, it includes templates for SAST, dependency scanning, and container vulnerability scanning using industry-standard tools like Trivy.

Can I use this for Dockerized applications?

Yes, it includes specific patterns for Docker-in-Docker (DinD) builds, image tagging, and pushing images to the GitLab Container Registry.

Can it handle infrastructure as code?

Yes, the skill includes specialized pipeline patterns for Terraform, covering validation, planning, and manual approval gates for secure infrastructure deployment.

How does this skill help with GitLab CI/CD?

It provides pre-configured, best-practice YAML templates and architectural strategies for building, testing, and deploying applications efficiently within the GitLab ecosystem.

GitLab CI/CD Pipeline Patterns

Name: GitLab CI/CD Pipeline Patterns
Author: Activer007

byActiver007

Deployment & DevOps

Streamlines the creation and optimization of GitLab CI/CD pipelines using standardized patterns for testing, building, and deployment.

About

This skill provides Claude with advanced templates and best practices for GitLab CI/CD, enabling developers to build scalable automation workflows. It covers everything from basic multi-stage pipelines and Docker integration to complex Kubernetes deployments, Terraform infrastructure management, and integrated security scanning. Whether you are migrating to GitLab or optimizing existing pipelines, this skill ensures high performance through efficient caching strategies, distributed runner configurations, and standardized GitOps workflows.

Key Features

Integrated security scanning including SAST and Trivy
Kubernetes and GitOps deployment patterns
Multi-stage pipeline templates for automated workflows
Docker build and container registry integration
Optimized caching and artifact management strategies
0 GitHub stars

Use Cases

Automating application deployments to Kubernetes clusters
Setting up infrastructure-as-code pipelines with Terraform
Optimizing pipeline speed using advanced caching and distributed runners

About

Key Features

Integrated security scanning including SAST and Trivy
Kubernetes and GitOps deployment patterns
Multi-stage pipeline templates for automated workflows
Docker build and container registry integration
Optimized caching and artifact management strategies
0 GitHub stars

Use Cases

Automating application deployments to Kubernetes clusters
Setting up infrastructure-as-code pipelines with Terraform
Optimizing pipeline speed using advanced caching and distributed runners