Does it support parallel testing and matrix builds?

Absolutely. It covers both simple parallel sharding and complex matrix configurations to test across multiple Node.js versions and operating systems simultaneously.

Can I use this for complex monorepo pipelines?

Yes, it specifically includes guidance on 'changes' rules and 'needs' dependencies, which are essential for managing selective job execution in monorepo environments.

What is the benefit of using 'needs' over 'dependencies' in this skill?

The skill demonstrates how 'needs' creates a Directed Acyclic Graph (DAG), allowing jobs to start as soon as their specific requirements are met rather than waiting for an entire stage to complete.

How does this skill handle GitLab CI environment teardowns?

The skill provides templates for configuring environment 'on_stop' actions and manual stop jobs to ensure cloud resources are properly cleaned up after deployments.

GitLab CI Job Configuration

Name: GitLab CI Job Configuration
Author: TheBushidoCollective

byTheBushidoCollective

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Deployment & DevOps

Configures GitLab CI/CD jobs with optimized scripts, environment settings, and complex execution rules for professional DevOps pipelines.

About

The GitLab CI Job Configuration skill provides domain-specific guidance for architecting robust CI/CD pipelines within the GitLab ecosystem. It assists developers in defining clear job structures, managing multi-line scripts, and configuring sophisticated deployment environments with manual triggers and teardown actions. By leveraging advanced features like Directed Acyclic Graphs (DAGs), parallel matrix jobs, and conditional execution rules based on file changes or branch status, this skill helps ensure that your automation is both efficient and reliable.

Key Features

Sophisticated environment configuration with automated stop actions
Conditional execution rules using branch, source, and change-based logic
Performance optimization through parallel matrix jobs and resource groups
Dependency management using traditional artifacts or DAG-based 'needs'
39 GitHub stars
Advanced job structure and script execution management

Use Cases

Implementing conditional pipeline logic to trigger specific jobs only when relevant files are modified
Optimizing CI/CD runtime by implementing parallel execution and job sharding
Setting up automated multi-stage build and test pipelines for complex applications

About

Key Features

Sophisticated environment configuration with automated stop actions
Conditional execution rules using branch, source, and change-based logic
Performance optimization through parallel matrix jobs and resource groups
Dependency management using traditional artifacts or DAG-based 'needs'
39 GitHub stars
Advanced job structure and script execution management

Use Cases

Implementing conditional pipeline logic to trigger specific jobs only when relevant files are modified
Optimizing CI/CD runtime by implementing parallel execution and job sharding
Setting up automated multi-stage build and test pipelines for complex applications