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