Claude
Chat app · Skill upload
In Claude, open Customize → Skills and use Create skill to upload the ZIP. Skill availability depends on your plan and workspace settings.
Official Claude setup →Community skill · Free instruction package
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.
Community instruction package. Read the full workflow below, then choose your app in the setup guide. Package instructions and compatibility claims have not been individually verified; check dependencies and license before use.
CHOOSE YOUR AI APP
Choose your app below for setup instructions. Keep the complete downloaded folder together. Each package may need tools, dependencies or permissions that your app does not provide.
Chat app · Skill upload
In Claude, open Customize → Skills and use Create skill to upload the ZIP. Skill availability depends on your plan and workspace settings.
Official Claude setup →Chat app · Access varies
Where Skills is available, open Plugins → Skills → Create → Upload from your computer. Otherwise, copy the instructions into a chat and add your brief; this does not install a skill or include its supporting files.
Official ChatGPT setup →Agent · Project skills
Extract the complete skill folder into your project’s .agents/skills directory. Ask the agent to use the skill for your task.
.agents/skills/gitlab-ci-patterns/SKILL.mdOfficial Google Antigravity setup →Code editor · Project skills
Extract the complete folder into .cursor/skills. Check the editor’s skill settings and ask the agent to use it.
.cursor/skills/gitlab-ci-patterns/SKILL.mdOfficial Cursor setup →Coding agent · Project skills
Extract the complete folder into .claude/skills. Ask Claude to use the named skill, or use its slash command when available.
.claude/skills/gitlab-ci-patterns/SKILL.mdOfficial Claude Code setup →For text-only workflows, you can also paste the instructions into an AI conversation. Copying text does not enable scripts, connect accounts or grant tool access. App subscriptions may cost extra. Logos identify the products; KuchhBhi is independent and is not endorsed by these companies.
Comprehensive GitLab CI/CD pipeline patterns for automated testing, building, and deployment.
resources/implementation-playbook.md.Create efficient GitLab CI pipelines with proper stage organization, caching, and deployment strategies.
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
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 $CI_REGISTRY_IMAGE:latest
only:
- main
- tags
.deploy_template: &deploy_template
image: bitnami/kubectl:latest
before_script:
- kubectl config set-cluster k8s --server="$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
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
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
# 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/
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
assets/gitlab-ci.yml.template - Complete pipeline templatereferences/pipeline-stages.md - Stage organization patternsgithub-actions-templates - For GitHub Actionsdeployment-pipeline-design - For architecturesecrets-management - For secrets handlingThe instruction package is free to download. Your AI app, model usage, connected services and third-party assets may have separate costs.
It is a set of instructions for a compatible AI assistant. It does not run by itself, connect accounts or install an MCP server.
Check that the named folder contains SKILL.md directly, not a second nested ZIP folder. Confirm that your editor supports skills and that its current settings allow this location. See the official documentation below.