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.
Best use case
gitlab-ci is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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.
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.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "gitlab-ci" skill to help with this workflow task. Context: 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.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gitlab-ci/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gitlab-ci Compares
| Feature / Agent | gitlab-ci | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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.
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 automationRelated Skills
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