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gitlab-ci-patterns — Claude Code skill: CI/CD and install

This skill builds GitLab CI/CD pipelines with stages, caching, runners, and deployment patterns. Use it when your project needs automated tests, builds, or releases.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add wshobson/agents
/plugin install cicd-automation@claude-code-workflows
Open on GitHub

What gitlab-ci-patterns does

gitlab-ci-patterns lays out GitLab CI/CD pipelines for build, test, and deploy stages. Its examples cover a Node.js build with artifacts and dependency caching, Docker image build and push, coverage reports, manual production gates, and environment tracking. It also shows Kubernetes deployments, Terraform workflows, and generated child pipelines.

The skill includes GitLab templates for SAST, dependency scanning, and container scanning, plus a Trivy image check. Kubernetes deployment requires KUBE_URL, the file variable KUBE_CA_CERT_FILE, and a protected masked KUBE_TOKEN; the examples use kubectl. The Terraform flow uses TF_ROOT and TF_VERSION, while Docker jobs use Docker-in-Docker.

Install it when you are creating or restructuring GitLab CI/CD. Skip it for a project that does not use GitLab, since its patterns target GitLab pipeline configuration.

What it helps with

  • build a multi-stage GitLab CI/CD pipeline
  • cache dependencies and publish build artifacts
  • push Docker images to the GitLab Registry
  • separate staging and production Kubernetes deploys
  • add Terraform plan/apply and security checks

Example prompts for the agent

  • Build a GitLab CI/CD pipeline with build, test, and deploy stages for a Node.js project.
  • Configure Docker build and push for `main` and tags.
  • Set up staging and production Kubernetes deploys with a manual production apply.

How to install gitlab-ci-patterns

1Plugin marketplace

/plugin marketplace add wshobson/agents
/plugin install cicd-automation@claude-code-workflows

This installs the whole cicd-automation plugin with all its skills

2Skills CLI (Vercel)

npx skills add wshobson/agents --skill gitlab-ci-patterns -a claude-code

3Manually: put the files in place

~/.claude/skills/gitlab-ci-patterns/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/gitlab-ci-patterns/

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Questions about gitlab-ci-patterns

How do I install gitlab-ci-patterns in Claude Code?

Run npx skills add wshobson/agents --skill gitlab-ci-patterns -a claude-code. The skill is placed at ~/.claude/skills/gitlab-ci-patterns/SKILL.md.

What does gitlab-ci-patterns do?

It provides patterns for GitLab CI/CD stages, caching, artifacts, manual deployments, and security checks. The examples also cover Docker, Kubernetes, Terraform, and child pipelines.

What is required for a Kubernetes deployment from GitLab CI?

The setup needs KUBE_URL, a file variable named KUBE_CA_CERT_FILE with the cluster CA certificate, and a protected masked KUBE_TOKEN. The deployment commands use kubectl.

Source text

SKILL.md · MIT
---
name: gitlab-ci-patterns
description: Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
---

# GitLab CI Patterns

Comprehensive GitLab CI/CD pipeline patterns for automated testing, building, and deployment.

## Purpose

Create efficient GitLab CI pipelines with proper stage organization, caching, and deployment strategies.

## When to Use

- Automate GitLab-based CI/CD
- Implement multi-stage pipelines
- Configure GitLab Runners
- Deploy to Kubernetes from GitLab
- Implement GitOps workflows

## Basic Pipeline Structure

```yaml
stages:
  - build
  - test
  - deploy

variables:
  DOCKER_DRIVER: overlay2
  DOCKER_TLS_CERTDIR: "/certs"

build:
  stage: build
  image: node:20
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 hour
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:
      - node_modules/

test:
  stage: test
  image: node:20
  script:
    - npm ci
    - npm run lint
    - npm test
  coverage: '/Lines\s*:\s*(\d+\.\d+)%/'
  artifacts:
    reports:
      coverage_report:
        coverage_format: cobertura
        path: coverage/cobertura-coverage.xml

deploy:
  stage: deploy
  image: bitnami/kubectl:1.31
  script:
    - kubectl apply -f k8s/
    - kubectl rollout status deployment/my-app
  only:
    - main
  environment:
    name: production
    url: https://app.example.com
```

## Docker Build and Push

```yaml
build-docker:
  stage: build
  image: docker:24
  services:
    - docker:24-dind
  before_script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
  script:
    - docker build -t $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA .
    - docker build -t $CI_REGISTRY_IMAGE:latest .
    - docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
    - docker push $CI_REGISTRY_IMAGE:latest
  only:
    - main
    - tags
```

## Multi-Environment Deployment

Set `KUBE_CA_CERT_FILE` as a GitLab file variable containing the cluster CA certificate,
and provide `KUBE_TOKEN` through a protected, masked CI variable. The file variable
contains a path that kubectl uses to verify the API server certificate. Protect both
`develop` and `main` so the deployment jobs can read the protected token.

```yaml
.deploy_template: &deploy_template
  image: bitnami/kubectl:1.31
  before_script:
    - kubectl config set-cluster k8s --server="$KUBE_URL" --certificate-authority="$KUBE_CA_CERT_FILE" --embed-certs=true
    - kubectl config set-credentials admin --token="$KUBE_TOKEN"
    - kubectl config set-context default --cluster=k8s --user=admin
    - kubectl config use-context default

deploy:staging:
  <<: *deploy_template
  stage: deploy
  script:
    - kubectl apply -f k8s/ -n staging
    - kubectl rollout status deployment/my-app -n staging
  environment:
    name: staging
    url: https://staging.example.com
  only:
    - develop

deploy:production:
  <<: *deploy_template
  stage: deploy
  script:
    - kubectl apply -f k8s/ -n production
    - kubectl rollout status deployment/my-app -n production
  environment:
    name: production
    url: https://app.example.com
  when: manual
  only:
    - main
```

## Terraform Pipeline

```yaml
stages:
  - validate
  - plan
  - apply

variables:
  TF_ROOT: ${CI_PROJECT_DIR}/terraform
  TF_VERSION: "1.6.0"

before_script:
  - cd ${TF_ROOT}
  - terraform --version

validate:
  stage: validate
  image: hashicorp/terraform:${TF_VERSION}
  script:
    - terraform init -backend=false
    - terraform validate
    - terraform fmt -check

plan:
  stage: plan
  image: hashicorp/terraform:${TF_VERSION}
  script:
    - terraform init
    - terraform plan -out=tfplan
  artifacts:
    paths:
      - ${TF_ROOT}/tfplan
    expire_in: 1 day

apply:
  stage: apply
  image: hashicorp/terraform:${TF_VERSION}
  script:
    - terraform init
    - terraform apply -auto-approve tfplan
  dependencies:
    - plan
  when: manual
  only:
    - main
```

## Security Scanning

```yaml
include:
  - template: Security/SAST.gitlab-ci.yml
  - template: Security/Dependency-Scanning.gitlab-ci.yml
  - template: Security/Container-Scanning.gitlab-ci.yml

trivy-scan:
  stage: test
  image: aquasec/trivy:0.58.0
  script:
    - trivy image --exit-code 1 --severity HIGH,CRITICAL $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
  allow_failure: true
```

## Caching Strategies

```yaml
# Cache node_modules
build:
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:
      - node_modules/
    policy: pull-push

# Global cache
cache:
  key: ${CI_COMMIT_REF_SLUG}
  paths:
    - .cache/
    - vendor/

# Separate cache per job
job1:
  cache:
    key: job1-cache
    paths:
      - build/

job2:
  cache:
    key: job2-cache
    paths:
      - dist/
```

## Dynamic Child Pipelines

```yaml
generate-pipeline:
  stage: build
  script:
    - python generate_pipeline.py > child-pipeline.yml
  artifacts:
    paths:
      - child-pipeline.yml

trigger-child:
  stage: deploy
  trigger:
    include:
      - artifact: child-pipeline.yml
        job: generate-pipeline
    strategy: depend
```


## Best Practices

1. **Use specific image tags** (node:20, not node:latest)
2. **Cache dependencies** appropriately
3. **Use artifacts** for build outputs
4. **Implement manual gates** for production
5. **Use environments** for deployment tracking
6. **Enable merge request pipelines**
7. **Use pipeline schedules** for recurring jobs
8. **Implement security scanning**
9. **Use CI/CD variables** for secrets
10. **Monitor pipeline performance**

## Related Skills

- `github-actions-templates` - For GitHub Actions
- `deployment-pipeline-design` - For architecture
- `secrets-management` - For secrets handling

© Seth Hobson · MIT · wshobson/agents

See also

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