aj-geddes/useful-ai-prompts8 files

Gitlab Cicd Pipeline

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Specification
Skill ID
aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline
Publisher
aj-geddes
Repository
useful-ai-prompts
Installs
0
Files
8
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

aj-geddes/useful-ai-prompts/gitlab-cicd-pipelineInstalls these files
  • SKILL.md
  • references/complete-pipeline-configuration.md
  • references/docker-layer-caching-optimization.md
  • references/gitlab-runner-configuration.md
  • references/kubernetes-deployment.md
  • references/multi-project-pipeline.md
  • scripts/validate-pipeline.sh
  • templates/pipeline.yaml

What this skill tells the agent

GitLab CI/CD Pipeline

Table of Contents

  • Overview
  • When to Use
  • Quick Start
  • Reference Guides
  • Best Practices

Overview

Create comprehensive GitLab CI/CD pipelines that automate building, testing, and deployment using GitLab Runner infrastructure and container execution.

When to Use

  • GitLab repository CI/CD setup
  • Multi-stage build pipelines
  • Docker registry integration
  • Kubernetes deployment
  • Review app deployment
  • Cache optimization
  • Dependency management

Quick Start

Minimal working example:

# .gitlab-ci.yml
image: node:18-alpine

variables:
  DOCKER_DRIVER: overlay2
  FF_USE_FASTZIP: "true"

stages:
  - lint
  - test
  - build
  - security
  - deploy-review
  - deploy-prod

cache:
  key: ${CI_COMMIT_REF_SLUG}
  paths:
    - node_modules/
    - .npm/

lint:
  stage: lint
  script:
    - npm install
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Complete Pipeline ConfigurationComplete Pipeline Configuration
GitLab Runner ConfigurationGitLab Runner Configuration
Docker Layer Caching OptimizationDocker Layer Caching Optimization
Multi-Project PipelineMulti-Project Pipeline
Kubernetes DeploymentKubernetes Deployment, Performance Testing Stage, Release Pipeline with Semantic Versioning

Best Practices

✅ DO

  • Use stages to organize pipeline flow
  • Implement caching for dependencies
  • Use artifacts for test reports
  • Set appropriate cache keys
  • Implement conditional execution with only and except
  • Use needs: for job dependencies
  • Clean up artifacts with expire_in
  • Use Docker for consistent environments
  • Implement security scanning stages
  • Set resource limits for jobs
  • Use merge request pipelines

❌ DON'T

  • Run tests serially when parallelizable
  • Cache everything unnecessarily
  • Leave large artifacts indefinitely
  • Store secrets in configuration files
  • Run privileged Docker without necessity
  • Skip security scanning
  • Ignore pipeline failures
  • Use only: [main] without proper controls

Use this skill in a project

Open any RiverX project, search the Skills panel for aj-geddes/useful-ai-prompts/gitlab-cicd-pipeline, and install it in one click.

Use this skill