gitlab-ci-patterns▌
wshobson/agents · updated Apr 8, 2026
Multi-stage GitLab CI/CD pipelines with Docker builds, Kubernetes deployments, and security scanning.
- ›Covers core pipeline patterns including build, test, and deploy stages with artifact caching and environment management
- ›Includes Docker image building and pushing to registries, multi-environment deployments (staging/production), and Terraform infrastructure automation
- ›Provides security scanning templates (SAST, dependency scanning, container scanning) and Trivy vulnerability checks
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
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:latest
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
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 $CI_REGISTRY_IMAGE:latest
only:
- main
- tags
Multi-Environment Deployment
.deploy_template: &deploy_template
image: bitnami/kubectl:latest
before_script:
- kubectl config set-cluster k8s --server="$KUBE_URL" --insecure-skip-tls-verify=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
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
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:latest
script:
- trivy image --exit-code 1 --severity HIGH,CRITICAL $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
allow_failure: true
Caching Strategies
# 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
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
- Use specific image tags (node:20, not node:latest)
- Cache dependencies appropriately
- Use artifacts for build outputs
- Implement manual gates for production
- Use environments for deployment tracking
- Enable merge request pipelines
- Use pipeline schedules for recurring jobs
- Implement security scanning
- Use CI/CD variables for secrets
- Monitor pipeline performance
Related Skills
github-actions-templates- For GitHub Actionsdeployment-pipeline-design- For architecturesecrets-management- For secrets handling
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★52 reviews- ★★★★★Dhruvi Jain· Dec 24, 2024
gitlab-ci-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anaya Liu· Dec 24, 2024
Keeps context tight: gitlab-ci-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sophia Farah· Dec 8, 2024
We added gitlab-ci-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 4, 2024
Solid pick for teams standardizing on skills: gitlab-ci-patterns is focused, and the summary matches what you get after install.
- ★★★★★Li Mensah· Nov 27, 2024
Keeps context tight: gitlab-ci-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Advait Choi· Nov 27, 2024
Solid pick for teams standardizing on skills: gitlab-ci-patterns is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Nov 15, 2024
I recommend gitlab-ci-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anaya Taylor· Nov 15, 2024
We added gitlab-ci-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noah Kim· Oct 18, 2024
gitlab-ci-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kwame Agarwal· Oct 18, 2024
gitlab-ci-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
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