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gitlab-ci

Provides comprehensive guidance for GitLab CI/CD including pipeline configuration, runners, artifacts, environments, and deployment automation. Use when the user asks about GitLab CI, needs to create pipelines, configure runners, or automate builds and deployments.

223 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/gitlab-ci/SKILL.md --create-dirs "https://raw.githubusercontent.com/partme-ai/full-stack-skills/main/skills/devops-skills/gitlab-ci/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/gitlab-ci/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How gitlab-ci Compares

Feature / Agentgitlab-ciStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Provides comprehensive guidance for GitLab CI/CD including pipeline configuration, runners, artifacts, environments, and deployment automation. Use when the user asks about GitLab CI, needs to create pipelines, configure runners, or automate builds and deployments.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

## When to use this skill

Use this skill whenever the user wants to:
- Write or debug GitLab CI pipelines (`.gitlab-ci.yml`)
- Configure GitLab Runner, stages, jobs, and artifacts
- Set up CI/CD variables, secrets, and environments
- Integrate testing, building, and deployment automation
- Use `needs` for complex dependency graphs between jobs

## How to use this skill

### Workflow

1. **Define stages** — declare the pipeline execution order
2. **Write jobs** — assign each job to a stage with scripts and rules
3. **Configure artifacts and cache** — pass build outputs between jobs
4. **Set up environments** — define deployment targets with rules

### Quick Start Example

```yaml
# .gitlab-ci.yml
stages:
  - test
  - build
  - deploy

variables:
  NODE_VERSION: "20"

test:
  stage: test
  image: node:${NODE_VERSION}
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:
      - node_modules/
  script:
    - npm ci
    - npm test
  artifacts:
    when: on_failure
    paths:
      - test-reports/
    expire_in: 7 days

build:
  stage: build
  image: node:${NODE_VERSION}
  needs: [test]
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/

deploy_production:
  stage: deploy
  needs: [build]
  environment:
    name: production
    url: https://myapp.example.com
  script:
    - ./scripts/deploy.sh
  rules:
    - if: $CI_COMMIT_BRANCH == "main"
```

### Key Concepts

| Feature | Purpose |
|---------|---------|
| `stages` | Define execution order |
| `needs` | Create DAG dependencies (skip stage waiting) |
| `artifacts` | Pass files between jobs |
| `cache` | Speed up repeated installs |
| `rules` | Control when jobs run |
| `environment` | Track deployment targets |

## Best Practices

- Use `stages` to define clear build order; jobs within a stage run in parallel
- Store sensitive values in CI/CD Variables (Settings > CI/CD > Variables) — never hardcode in YAML
- Use `needs` to create complex dependency graphs and avoid unnecessary waiting
- Preserve logs and artifacts on failure with `artifacts: when: on_failure`
- Use `rules` instead of deprecated `only/except` for conditional job execution

## Troubleshooting

- **Job stuck pending**: Check runner tags match and runners are available
- **Artifact not found**: Verify the producing job completed and artifact paths are correct
- **Cache not restoring**: Ensure cache key is consistent; check runner cache configuration
- **Pipeline not triggered**: Verify `rules` conditions match the event (push, merge request, etc.)

## Keywords

gitlab ci, gitlab-ci, pipeline, runner, ci/cd, artifacts, cache, environments, deployment automation