What is the GitLab CI Patterns skill?

It is a specialized capability for Claude Code that provides templates and best practices for building scalable, efficient, and secure GitLab CI/CD pipelines.

Does it include security scanning?

Absolutely. The skill provides configurations for GitLab SAST, dependency scanning, and third-party tools like Trivy for container vulnerability scanning.

How does it improve pipeline speed?

It implements sophisticated caching strategies for dependencies like node_modules, alongside efficient artifact management to reduce redundant processing across jobs.

Can this skill help with Kubernetes deployments?

Yes, it includes patterns for multi-environment deployments to Kubernetes clusters, including context configuration, secret handling, and rollout status checks.

GitLab CI Automation Patterns

Name: GitLab CI Automation Patterns
Author: wshobson

bywshobson

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23,194

部署与 DevOps

Builds robust GitLab CI/CD pipelines with multi-stage workflows, performance optimization, and secure deployment strategies.

关于

This skill provides a comprehensive library of GitLab CI/CD patterns designed to streamline your development lifecycle through automated building, testing, and deployment. It offers production-ready templates for complex scenarios including multi-environment Kubernetes deployments, Docker image orchestration, and Infrastructure as Code with Terraform. By implementing proven caching strategies and integrated security scanning, it helps developers reduce pipeline latency while maintaining high-security standards across distributed GitLab runners.

主要功能

Infrastructure as Code automation templates for Terraform and Kubernetes
Production-ready Docker-in-Docker (DinD) patterns for container orchestration
23,194 GitHub stars
Multi-stage pipeline architecture for streamlined build, test, and deploy workflows
Advanced caching strategies to significantly optimize runner performance and speed
Integrated security scanning including SAST, dependency checks, and container audits

使用场景

Automating full-stack application deployments to Kubernetes environments
Optimizing CI/CD runner performance for large-scale enterprise projects
Implementing secure GitOps workflows with manual approval gates and environment tracking

关于

主要功能

Infrastructure as Code automation templates for Terraform and Kubernetes
Production-ready Docker-in-Docker (DinD) patterns for container orchestration
23,194 GitHub stars
Multi-stage pipeline architecture for streamlined build, test, and deploy workflows
Advanced caching strategies to significantly optimize runner performance and speed
Integrated security scanning including SAST, dependency checks, and container audits

使用场景

Automating full-stack application deployments to Kubernetes environments
Optimizing CI/CD runner performance for large-scale enterprise projects
Implementing secure GitOps workflows with manual approval gates and environment tracking