Productivity

jenkins-pipeline

aj-geddes/useful-ai-prompts · updated Apr 8, 2026

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill jenkins-pipeline
summary

Enterprise-grade Jenkins pipelines with declarative and scripted syntax for multi-stage CI/CD automation.

  • Supports both declarative and scripted pipeline approaches, with multi-branch pipeline and parameterized build capabilities
  • Includes environment variables, credentials management, approval gates, and artifact archiving for production-safe deployments
  • Covers agent configuration, stage orchestration, test reporting (JUnit), and Docker registry integration
  • Best practices emphasiz
skill.md

Jenkins Pipeline

Table of Contents

Overview

Create enterprise-grade Jenkins pipelines using declarative and scripted approaches to automate building, testing, and deploying with advanced control flow.

When to Use

  • Enterprise CI/CD infrastructure
  • Complex multi-stage builds
  • On-premise deployment automation
  • Parameterized builds

Quick Start

Minimal working example:

pipeline {
    agent { label 'linux-docker' }
    environment {
        REGISTRY = 'docker.io'
        IMAGE_NAME = 'myapp'
    }
    parameters {
        string(name: 'DEPLOY_ENV', defaultValue: 'staging')
    }
    stages {
        stage('Checkout') { steps { checkout scm } }
        stage('Install') { steps { sh 'npm ci' } }
        stage('Lint') { steps { sh 'npm run lint' } }
        stage('Test') {
            steps {
                sh 'npm run test:coverage'
                junit 'test-results.xml'
            }
        }
        stage('Build') {
            steps {
                sh 'npm run build'
                archiveArtifacts artifacts: 'dist/**/*'
            }
        }
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Declarative Pipeline (Jenkinsfile) Declarative Pipeline (Jenkinsfile)
Scripted Pipeline Scripted Pipeline (Groovy), Multi-Branch Pipeline, Parameterized Pipeline, Pipeline with Credentials

Best Practices

✅ DO

  • Use declarative pipelines for clarity
  • Use credentials plugin for secrets
  • Archive artifacts and reports
  • Implement approval gates for production
  • Keep pipelines modular and reusable

❌ DON'T

  • Store credentials in pipeline code
  • Ignore pipeline errors
  • Skip test coverage reporting
  • Use deprecated plugins