How does this skill help reduce GitLab runner costs?

It provides patterns for workflow rules and auto-cancel settings that prevent redundant pipelines from running on every commit, saving significant compute time.

Does it support modular CI/CD configurations?

Absolutely. The skill demonstrates how to use the 'include' keyword to split large .gitlab-ci.yml files into manageable, reusable components.

Is the configuration compatible with GitLab SaaS and Self-Managed?

Yes, the patterns follow the standard GitLab CI/CD YAML syntax which is supported across all GitLab distributions.

Can I use this for complex microservices architectures?

Yes, it includes patterns for using Directed Acyclic Graphs (DAG) with the 'needs' keyword, allowing services to build and deploy independently within a single pipeline.

Can this skill help with environment-specific variables?

Yes, it provides examples of branch-based workflow rules that dynamically assign variables like DEPLOY_ENV based on the git reference.

GitLab CI Pipeline Configuration

Name: GitLab CI Pipeline Configuration
Author: TheBushidoCollective

byTheBushidoCollective

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Deployment & DevOps

Architects and optimizes GitLab CI/CD pipelines with robust stage ordering, workflow rules, and efficient execution patterns.

This skill empowers developers to build professional-grade GitLab CI/CD pipelines by providing structured patterns for stage management, parallel job execution, and Directed Acyclic Graph (DAG) optimization. It covers everything from basic sequential stages to complex multi-file configurations using includes and conditional workflow rules. By implementing best practices like interruptible jobs and the 'needs' keyword, it helps minimize CI runner usage while maximizing deployment velocity and reliability.

Key Features

01Modular configuration management via local and remote includes

0239 GitHub stars

03Optimized stage ordering and parallel job orchestration

04DAG pipeline implementation using the 'needs' keyword

05Automated redundant pipeline cancellation and variable scoping

06Advanced workflow rules for branch and merge request logic

Use Cases

01Setting up complex CI/CD environments with conditional logic for staging and production

02Refactoring monolithic pipelines into high-performance DAG-based workflows

03Standardizing pipeline templates across multiple repositories using external includes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thebushidocollective/han pipeline-configuration

For use in Claude.ai and ChatGPT

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