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home / skills / jeremylongshore / claude-code-plugins-plus-skills / gitlab-ci-basics

gitlab-ci-basics skill

/skills/01-devops-basics/gitlab-ci-basics

This skill helps you master gitlab ci basics with step-by-step guidance, producing production-ready configurations and best-practice validations.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill gitlab-ci-basics

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
2.1 KB
---
name: "gitlab-ci-basics"
description: |
  Manage gitlab ci basics operations. Auto-activating skill for DevOps Basics.
  Triggers on: gitlab ci basics, gitlab ci basics
  Part of the DevOps Basics skill category. Use when working with gitlab ci basics functionality. Trigger with phrases like "gitlab ci basics", "gitlab basics", "gitlab".
allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Gitlab Ci Basics

## Overview

This skill provides automated assistance for gitlab ci basics tasks within the DevOps Basics domain.

## When to Use

This skill activates automatically when you:
- Mention "gitlab ci basics" in your request
- Ask about gitlab ci basics patterns or best practices
- Need help with foundational devops skills covering version control, containerization, basic ci/cd, and infrastructure fundamentals.

## Instructions

1. Provides step-by-step guidance for gitlab ci basics
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with gitlab ci basics"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of devops basics concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **DevOps Basics** skill category.
Tags: devops, git, docker, ci-cd, infrastructure

Overview

This skill automates GitLab CI basics tasks to help teams bootstrap reliable CI/CD pipelines. It provides step-by-step guidance, generates production-ready .gitlab-ci.yml examples, and validates common configuration patterns against best practices. Use it to speed up setup, reduce configuration errors, and teach foundational DevOps concepts.

How this skill works

The skill inspects your project layout, detects languages and build artifacts, and suggests appropriate GitLab CI job templates (build, test, lint, deploy). It can generate or update .gitlab-ci.yml, include container image recommendations, and validate pipeline syntax and common pitfalls. Outputs include ready-to-use YAML, inline explanations, and remediation steps for detected issues.

When to use it

  • Bootstrapping a new project's CI pipeline on GitLab
  • Converting local build/test scripts into CI jobs
  • Adding basic stages: build, test, lint, deploy
  • Validating .gitlab-ci.yml syntax and common misconfigurations
  • Teaching or documenting CI best practices for a team

Best practices

  • Define clear stages (stages: [build, test, deploy]) and keep jobs focused
  • Use lightweight images and cache dependencies to speed pipelines
  • Separate linting and unit tests from longer integration tests
  • Store secrets in GitLab CI variables and avoid hardcoding credentials
  • Keep pipeline YAML modular using includes and templates for reuse

Example use cases

  • Generate a minimal .gitlab-ci.yml for a Python project with build, test, and publish stages
  • Add a Docker-based build job that caches pip dependencies and pushes an image on tag
  • Validate an existing pipeline and return a prioritized list of fixes
  • Create CI snippets for running linters and parallel unit tests
  • Explain how to protect deployment jobs and configure environment-specific variables

FAQ

What inputs do you need to generate a pipeline?

Provide project language, build/test commands, containerization details (if any), and target deployment environment; defaults are used when details are missing.

Can this skill modify my repository files directly?

It generates ready-to-apply YAML and clear patch instructions. Apply changes manually or via your preferred automation tools to retain control and approvals.