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Skills/CI/CD Pipeline (GitLab CI & CircleCI)
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CI/CD Pipeline (GitLab CI & CircleCI)

Generate and optimize CI/CD pipelines for GitLab CI and CircleCI. Use when a user asks to set up GitLab CI, create a CircleCI pipeline, build a CI pipeline for GitLab, automate deployments with CircleCI, add test automation to GitLab, or configure continuous integration on non-GitHub platforms. For GitHub Actions pipelines, use the github-actions skill instead.

#cicd#gitlab-ci#circleci#pipeline#deployment
terminal-skillsv1.2.0
Works with:claude-codeopenai-codexgemini-clicursor
Source
Trust Score
93/ 100
3.36×
Impact

Validation

Quality
93/ 100
Does it follow best practices?
5 PASS · 1 WEAK
Security
Passed
No known issues
Content review + injection scan
Impact
3.36×
28% → 94% agent success
Avg across 3 eval scenarios
Scored 10/13/2026 · skill v1.2.0
agent@terminalskills — playground
full playground →

Prove CI/CD Pipeline (GitLab CI & CircleCI) on your task

simulated preview
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real run in an isolated sandbox · files auto-deleted after 7 days · nothing touches your machine

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✓ Installed cicd-pipeline v1.2.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Deploy the latest build to the staging environment and run smoke tests"
  • "Check the CI pipeline status and summarize any recent failures"

Documentation

Overview

Generate production-ready CI/CD pipeline configurations for automated testing, building, and deploying applications on GitLab CI and CircleCI. This skill creates well-structured workflows with proper caching, matrix testing, environment separation, and deployment strategies. For GitHub Actions pipelines, use the github-actions skill.

Instructions

When a user asks to create or improve a CI/CD pipeline, follow these steps:

Step 1: Analyze the project

Detect the project type and requirements:

bash
# Determine language and framework
ls package.json pyproject.toml Gemfile go.mod Cargo.toml pom.xml build.gradle 2>/dev/null

# Check for existing CI config
ls .gitlab-ci.yml .circleci/config.yml 2>/dev/null

# Detect test commands
cat package.json | grep -A5 '"scripts"' 2>/dev/null
cat Makefile 2>/dev/null | grep -E "^test|^lint|^build"

Identify:

  • Language/runtime: Node.js, Python, Go, Rust, Java
  • Package manager: npm, pnpm, yarn, pip, poetry
  • Test framework: Jest, Pytest, Go test, etc.
  • Build output: Docker image, static site, binary, package
  • Deploy target: AWS, Docker registry, npm registry, SSH server

Step 2: Choose the CI/CD platform

Default to GitLab CI if the repo is on GitLab. Use CircleCI if specified or if the project already has a .circleci/ directory.

Step 3: Generate the pipeline configuration

GitLab CI: Node.js example:

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

variables:
  NODE_VERSION: "22"
  npm_config_cache: "$CI_PROJECT_DIR/.npm"

.node-job:
  image: node:${NODE_VERSION}
  cache:
    key:
      files:
        - package-lock.json
    paths:
      - .npm/
  before_script:
    - npm ci

lint:
  extends: .node-job
  stage: lint
  script:
    - npm run lint

test:
  extends: .node-job
  stage: test
  script:
    - npm test -- --coverage
  coverage: '/All files[^|]*\|[^|]*\s+([\d\.]+)/'
  artifacts:
    when: always
    reports:
      coverage_report:
        coverage_format: cobertura
        path: coverage/cobertura-coverage.xml

build:
  extends: .node-job
  stage: build
  script:
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 week
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH

Use rules: for conditions. only/except are deprecated GitLab keywords. Without a workflow:rules block, a push with an open merge request can start two pipelines (branch and MR); add workflow: rules if you see duplicates. The Cobertura file is produced by Jest's coverageReporters: ['text', 'cobertura'].

GitLab CI: Docker build and deploy:

yaml
build-image:
  stage: build
  image: docker:29-cli
  services:
    - docker:29-dind
  variables:
    DOCKER_TLS_CERTDIR: "/certs"
  script:
    - echo "$CI_REGISTRY_PASSWORD" | docker login -u "$CI_REGISTRY_USER" --password-stdin "$CI_REGISTRY"
    - docker build -t "$CI_REGISTRY_IMAGE:$CI_COMMIT_SHA" .
    - docker push "$CI_REGISTRY_IMAGE:$CI_COMMIT_SHA"
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH

deploy:
  stage: deploy
  image: alpine:3.22
  before_script:
    - apk add --no-cache openssh-client
    - eval "$(ssh-agent -s)"
    - echo "$SSH_PRIVATE_KEY" | ssh-add -
    - mkdir -p ~/.ssh && echo "$SSH_KNOWN_HOSTS" > ~/.ssh/known_hosts
  script:
    - ssh "$DEPLOY_USER@$DEPLOY_HOST" "docker pull $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA && IMAGE_TAG=$CI_COMMIT_SHA docker compose up -d"
  environment: production
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
      when: manual

SSH_KNOWN_HOSTS holds the output of ssh-keyscan taken once and checked by a human; do not disable host key checking with StrictHostKeyChecking=no. The server must have logged in to the registry too, or use a deploy token.

CircleCI: Node.js example:

yaml
# .circleci/config.yml
version: 2.1

orbs:
  node: circleci/node@7

jobs:
  lint-and-test:
    docker:
      - image: cimg/node:22.23
    steps:
      - checkout
      - node/install-packages
      - run: npm run lint
      - run: npm test -- --coverage --reporters=default --reporters=jest-junit
        environment:
          JEST_JUNIT_OUTPUT_DIR: test-results
      - store_test_results:
          path: test-results
      - store_artifacts:
          path: coverage

  build:
    docker:
      - image: cimg/node:22.23
    steps:
      - checkout
      - node/install-packages
      - run: npm run build
      - persist_to_workspace:
          root: .
          paths: [dist]

  deploy:
    docker:
      - image: cimg/node:22.23
    steps:
      - checkout
      - attach_workspace:
          at: .
      - run: npx vercel deploy --prod --prebuilt --token "$VERCEL_TOKEN"

workflows:
  build-and-deploy:
    jobs:
      - lint-and-test
      - build:
          requires: [lint-and-test]
      - deploy:
          requires: [build]
          filters:
            branches:
              only: main

jest-junit must be a dev dependency for the test report step. cimg/node tags are major.minor (for example 22.23); the circleci/node orb's install-packages caches dependencies by lockfile automatically. Node 20 reached end of life in April 2026, so new pipelines should start on 22 or 24.

CircleCI monorepo path filtering needs dynamic configuration: set setup: true in .circleci/config.yml, use the circleci/path-filtering@3 orb to map changed paths to pipeline parameters (mapping: "packages/api/.* run-api true"), and put the per-package workflows in .circleci/continue_config.yml with when: << pipeline.parameters.run-api >>. Dynamic config must be enabled in the project settings.

Examples

Example 1: GitLab CI for a Django API with Docker deployment

User request: "Create a GitLab CI pipeline for my Django app with Docker deployment"

Actions taken:

  1. Detected: Django 5.2, Poetry, Pytest, PostgreSQL dependency
  2. Created .gitlab-ci.yml with lint, test (with Postgres service), build, deploy stages
  3. Added Postgres service container for integration tests
  4. Configured Docker image build and push to GitLab Container Registry

Result:

Created: .gitlab-ci.yml
Stages: lint -> test -> build -> deploy
- lint: ruff + mypy type checking
- test: pytest with PostgreSQL 16 service container
- build: Docker image build, pushed to $CI_REGISTRY_IMAGE
- deploy: SSH deploy to production (manual trigger)
Required variables: DEPLOY_HOST, DEPLOY_USER, SSH_PRIVATE_KEY

Example 2: CircleCI for a Node.js monorepo

User request: "Set up CircleCI for my monorepo with separate test jobs per package"

Actions taken:

  1. Detected: pnpm workspace with 3 packages (api, web, shared)
  2. Created .circleci/config.yml with parallel test jobs per package
  3. Used path filtering to only run jobs for changed packages
  4. Added build and deploy workflow for the web package

Result:

Created: .circleci/config.yml
Jobs: test-api, test-web, test-shared, build-web, deploy-web
- Uses path filtering: only tests changed packages
- Shared dependency caching across jobs
- Deploy to Vercel on main branch only
Required env vars: VERCEL_TOKEN
Estimated run time: ~4 minutes (parallel jobs)

Guidelines

  • Enable dependency caching to speed up runs. GitLab uses cache: blocks; CircleCI uses orbs or save_cache/restore_cache.
  • Use service containers for database tests (Postgres, Redis, etc.) rather than installing them in the job.
  • Separate CI (runs on every push/MR) from CD (runs only on main/tags).
  • Store secrets in CI/CD variables, never in pipeline files. In GitLab, mark them Masked and Protected; protected variables are only exposed to protected branches and tags.
  • Pin image tags to a major version (node:22, docker:29-cli), not latest.
  • Use rules: in GitLab CI (not the deprecated only/except) or filters in CircleCI to control when jobs run.
  • For monorepos, use path-based triggers to only run relevant pipelines.
  • GitLab CI supports extends, include and YAML anchors for DRY configs — use them for shared job configurations.
  • CircleCI orbs encapsulate common patterns (Node, Python, Docker) — prefer orbs over manual setup.
  • Add when: manual in GitLab CI or approval jobs in CircleCI for production deploys to prevent accidental releases.

Information

Version
1.2.0
Updated
Author
terminal-skills
Category
DevOps
License
Apache-2.0