What is a Claude Code Skill?

A Claude Code Skill is a specialized configuration that enhances the Claude CLI's ability to handle specific domains, like GitLab CI/CD, with expert-level guidance.

Can it help with security scanning?

Absolutely. It provides templates for SAST, Dependency Scanning, and Container Scanning using industry-standard tools like Trivy.

Does this skill support multi-environment setups?

Yes, it includes patterns for staging and production environments with manual approval gates, environment tracking, and specific branch triggers.

How does it handle heavy dependencies?

It implements efficient caching strategies for node_modules and other package managers to speed up subsequent pipeline runs by avoiding redundant downloads.

Is Infrastructure as Code (IaC) supported?

Yes, the skill includes specialized patterns for Terraform pipelines, including validation, planning, and auto-apply stages.

GitLab CI/CD Patterns

Name: GitLab CI/CD Patterns
Author: HermeticOrmus

byHermeticOrmus

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Despliegue y DevOps

Generates optimized GitLab CI/CD pipelines with multi-stage workflows, caching strategies, and automated deployment patterns.

Acerca de

This skill empowers Claude to architect production-ready GitLab CI/CD pipelines by implementing industry-standard patterns for building, testing, and deploying applications. It provides ready-to-use templates for Docker containerization, Kubernetes orchestration, and Infrastructure as Code via Terraform, while incorporating advanced features like dynamic child pipelines and integrated security scanning. Whether you are optimizing runner performance through caching or setting up multi-environment GitOps workflows, this skill ensures your automation is scalable, secure, and efficient.

Características Principales

Multi-stage pipeline architecture for build, test, and deployment
Integrated security scanning including SAST and container vulnerability checks
Kubernetes and Terraform deployment templates with environment tracking
Support for Docker-in-Docker (DinD) and private registry management
2 GitHub stars
Advanced caching strategies to optimize runner performance

Casos de Uso

Optimizing CI/CD build times using intelligent caching and artifacts
Implementing shift-left security with automated vulnerability scanning in pipelines
Automating full-stack application deployment to Kubernetes environments

Acerca de

Características Principales

Multi-stage pipeline architecture for build, test, and deployment
Integrated security scanning including SAST and container vulnerability checks
Kubernetes and Terraform deployment templates with environment tracking
Support for Docker-in-Docker (DinD) and private registry management
2 GitHub stars
Advanced caching strategies to optimize runner performance

Casos de Uso

Optimizing CI/CD build times using intelligent caching and artifacts
Implementing shift-left security with automated vulnerability scanning in pipelines
Automating full-stack application deployment to Kubernetes environments