gitlab-ci-patterns

Generate multi-stage GitLab CI/CD pipelines with caching, Docker, and Terraform.

Updated Jan 13, 2026
One-click install
npx skills add https://github.com/ollieb89/vibe_coding --skill gitlab-ci-patterns-ollieb89
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitlab-ci-patterns
Source: https://github.com/ollieb89/vibe_coding/tree/main/.agent/cicd-automation/skills/gitlab-ci-patterns
Command: npx skills add https://github.com/ollieb89/vibe_coding --skill gitlab-ci-patterns-ollieb89

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides pre-built, robust patterns for creating efficient and scalable GitLab CI/CD pipelines, automating the build, test, and deployment processes.

Core Features & Use Cases

  • Multi-stage Pipelines: Structure complex workflows with distinct stages for building, testing, and deploying.
  • Caching and Artifacts: Optimize pipeline speed by caching dependencies and managing build outputs.
  • Docker Integration: Build and push Docker images directly within your CI/CD pipelines.
  • Terraform Automation: Integrate Terraform for Infrastructure as Code deployment.
  • Security Scanning: Incorporate SAST, Dependency Scanning, and Container Scanning.
  • Use Case: Implement a GitOps workflow by using this Skill to automatically build a Docker image, push it to a registry, and then deploy it to Kubernetes using Terraform upon merging to the main branch.

Quick Start

Use the gitlab-ci-patterns skill to generate a basic multi-stage pipeline for building, testing, and deploying a Node.js application.

Frequently Asked Questions about gitlab-ci-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a multi-stage GitLab CI/CD pipeline for automated testing and deployment?

Build a multi-stage GitLab CI/CD pipeline by structuring distinct stages for building, testing, and deploying. This approach automates workflows and incorporates caching and artifact management to optimize pipeline speed and manage build outputs efficiently.

What is the best way to integrate Docker and Terraform automation in GitLab CI?

Integrate Docker and Terraform in GitLab CI by using pipeline patterns that build and push Docker images directly, then deploy infrastructure as code. This enables a complete GitOps workflow for automated deployments to Kubernetes upon merging branches.

Can I use GitLab CI patterns to implement security scanning in my pipelines?

Yes, GitLab CI patterns support incorporating security scanning directly into pipelines. You can configure SAST, Dependency Scanning, and Container Scanning to automatically identify vulnerabilities during the build and test phases.

How does caching dependencies and managing artifacts work in GitLab CI/CD?

Caching dependencies in GitLab CI/CD stores downloaded packages between pipeline runs to optimize speed, while artifact management handles passing build outputs between distinct pipeline stages. Both mechanisms ensure efficient pipeline structure and execution.

Does this GitLab CI/CD automation approach work for deploying to Kubernetes?

Yes, these GitLab CI/CD pipeline patterns support deploying to Kubernetes. You can implement a GitOps workflow that automatically builds a Docker image, pushes it to a registry, and then deploys it to Kubernetes using Terraform automation.