build-ci-cd-pipeline
정보
이 스킬은 개발자가 GitHub Actions를 사용하여 다단계 CI/CD 파이프라인을 설계하고 구현하는 데 도움을 줍니다. 매트릭스 빌드, 의존성 캐싱, 아티팩트 관리, 린팅, 테스트, 빌드 및 배포를 위한 워크플로우 생성과 같은 주요 기능을 다룹니다. 자동화된 테스트/배포 설정, 다른 CI 도구에서의 마이그레이션, 고급 파이프라인 기능 추가 시 활용하세요.
빠른 설치
Claude Code
추천npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/build-ci-cd-pipelineClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Build CI/CD Pipeline
Design and implement production-grade continuous integration and deployment pipelines with GitHub Actions.
When to Use
- Setting up automated testing and deployment for a new project
- Migrating from Jenkins, Travis CI, or CircleCI to GitHub Actions
- Implementing matrix builds across multiple platforms or language versions
- Adding build caching to speed up CI/CD execution time
- Creating multi-stage pipelines with environment-specific deployments
- Implementing security scanning and code quality gates
Inputs
- Required: Repository with code to test/build/deploy
- Required: GitHub Actions workflow directory (
.github/workflows/) - Optional: Secrets for deployment targets (AWS, Azure, Docker registries)
- Optional: Self-hosted runner configuration for specialized builds
- Optional: Branch protection rules and required status checks
Procedure
Step 1: Create Base Workflow Structure
Create .github/workflows/ci.yml with trigger configuration and basic job structure.
name: CI Pipeline
locale: caveman-lite
source_locale: en
source_commit: 82c77053
translator: "Julius Brussee homage — caveman"
translation_date: "2026-04-19"
on:
push:
branches: [main, develop]
pull_request:
branches: [main, develop]
workflow_dispatch: # Manual trigger
env:
NODE_VERSION: '18'
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
lint:
name: Lint Code
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: ${{ env.NODE_VERSION }}
cache: 'npm'
- name: Install dependencies
run: npm ci
- name: Run ESLint
run: npm run lint
- name: Check formatting
run: npm run format:check
Got: Workflow file created with proper YAML syntax, triggers configured, and basic lint job defined.
If fail: Validate YAML syntax with yamllint .github/workflows/ci.yml. Check indentation (use spaces, not tabs). Verify action versions are current by checking GitHub Marketplace.
Step 2: Implement Matrix Build Strategy
Add matrix builds to test across multiple platforms, language versions, or configurations.
test:
name: Test (${{ matrix.os }}, Node ${{ matrix.node }})
runs-on: ${{ matrix.os }}
needs: lint
strategy:
fail-fast: false # Continue testing other matrix combinations on failure
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
node: ['16', '18', '20']
exclude:
- os: macos-latest
node: '16' # Skip old Node on macOS
steps:
- uses: actions/checkout@v4
- name: Setup Node.js ${{ matrix.node }}
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node }}
cache: 'npm'
- name: Install dependencies
run: npm ci
- name: Run tests with coverage
run: npm run test:coverage
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v3
if: matrix.os == 'ubuntu-latest' && matrix.node == '18'
with:
token: ${{ secrets.CODECOV_TOKEN }}
files: ./coverage/lcov.info
fail_ci_if_error: true
Got: Matrix generates 8 parallel jobs (3 OS × 3 Node versions - 1 exclusion). All tests pass across platforms. Coverage report uploads from single canonical job.
If fail: If matrix syntax errors occur, verify proper indentation and array notation. For flaky tests, add retry logic with uses: nick-invision/retry@v2. For platform-specific failures, add OS conditionals or expand exclusions.
Step 3: Configure Dependency Caching and Artifact Management
Optimize build speed with intelligent caching and preserve build artifacts.
build:
name: Build Application
runs-on: ubuntu-latest
needs: test
steps:
- uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: ${{ env.NODE_VERSION }}
cache: 'npm'
- name: Cache build output
uses: actions/cache@v3
with:
path: |
.next/cache
dist/
build/
key: ${{ runner.os }}-build-${{ hashFiles('**/package-lock.json') }}-${{ hashFiles('**/*.ts', '**/*.tsx') }}
restore-keys: |
${{ runner.os }}-build-${{ hashFiles('**/package-lock.json') }}-
${{ runner.os }}-build-
- name: Install dependencies
run: npm ci
- name: Build application
run: npm run build
env:
NODE_ENV: production
- name: Upload build artifacts
uses: actions/upload-artifact@v3
with:
name: dist-${{ github.sha }}
path: |
dist/
build/
retention-days: 7
if-no-files-found: error
Got: First run downloads dependencies (slow), subsequent runs restore from cache (fast). Build artifacts upload successfully with unique SHA-based naming.
If fail: If cache misses frequently, verify cache key includes all relevant file hashes. For upload failures, check path exists and glob patterns match actual build output. Verify retention-days meets organizational policies.
Step 4: Implement Security Scanning and Quality Gates
Add security vulnerability scanning and code quality enforcement.
security:
name: Security Scan
runs-on: ubuntu-latest
needs: lint
permissions:
security-events: write # Required for uploading SARIF results
steps:
- uses: actions/checkout@v4
- name: Run Trivy vulnerability scanner
uses: aquasecurity/trivy-action@master
with:
scan-type: 'fs'
scan-ref: '.'
format: 'sarif'
output: 'trivy-results.sarif'
severity: 'CRITICAL,HIGH'
- name: Upload Trivy results to GitHub Security
uses: github/codeql-action/upload-sarif@v2
if: always() # Upload even if scan finds vulnerabilities
with:
sarif_file: 'trivy-results.sarif'
- name: Dependency audit
run: npm audit --audit-level=high
continue-on-error: true # Don't fail build, but show warnings
- name: Check for leaked secrets
uses: trufflesecurity/trufflehog@main
with:
path: ./
base: ${{ github.event.repository.default_branch }}
head: HEAD
Got: Security scans complete, results upload to GitHub Security tab. Critical vulnerabilities block merge if branch protection configured. No secrets detected in commits.
If fail: For false positives, create .trivyignore file with CVE IDs and justifications. For audit failures, review npm audit fix suggestions. For secret detection false positives, add patterns to .trufflehog.yml exclude list.
Step 5: Configure Environment-Specific Deployments
Set up deployment stages with environment protection rules and approval gates.
deploy-staging:
name: Deploy to Staging
runs-on: ubuntu-latest
needs: [build, security]
if: github.ref == 'refs/heads/develop'
environment:
name: staging
url: https://staging.example.com
steps:
- name: Download build artifacts
uses: actions/download-artifact@v3
with:
name: dist-${{ github.sha }}
path: ./dist
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: ${{ secrets.AWS_ROLE_STAGING }}
aws-region: us-east-1
- name: Deploy to S3
run: |
aws s3 sync ./dist s3://${{ secrets.S3_BUCKET_STAGING }} --delete
aws cloudfront create-invalidation --distribution-id ${{ secrets.CF_DIST_STAGING }} --paths "/*"
deploy-production:
name: Deploy to Production
runs-on: ubuntu-latest
needs: [build, security]
if: github.ref == 'refs/heads/main'
environment:
name: production
url: https://example.com
steps:
- name: Download build artifacts
uses: actions/download-artifact@v3
with:
name: dist-${{ github.sha }}
path: ./dist
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: ${{ secrets.AWS_ROLE_PRODUCTION }}
aws-region: us-east-1
- name: Deploy to S3 with blue-green
run: |
# Deploy to new version
aws s3 sync ./dist s3://${{ secrets.S3_BUCKET_PRODUCTION }}/releases/${{ github.sha }} --delete
# Update symlink to new version
aws s3 cp s3://${{ secrets.S3_BUCKET_PRODUCTION }}/releases/${{ github.sha }} s3://${{ secrets.S3_BUCKET_PRODUCTION }}/current --recursive
# Invalidate CloudFront
aws cloudfront create-invalidation --distribution-id ${{ secrets.CF_DIST_PRODUCTION }} --paths "/*"
- name: Create GitHub Release
uses: softprops/action-gh-release@v1
if: startsWith(github.ref, 'refs/tags/')
with:
files: ./dist/**/*
generate_release_notes: true
Got: Staging deploys automatically on develop branch. Production requires manual approval (configured in GitHub Environment settings). CloudFront invalidation clears CDN cache. Release created for tagged commits.
If fail: For AWS credential errors, verify OIDC trust relationship allows role-to-assume. For S3 sync failures, check bucket policies and IAM permissions. For environment approval issues, verify protection rules in Settings > Environments.
Step 6: Add Notification and Monitoring Integration
Integrate Slack notifications, deployment tracking, and performance monitoring.
notify:
name: Notify Results
runs-on: ubuntu-latest
needs: [deploy-staging, deploy-production]
if: always() # Run even if previous jobs fail
steps:
- name: Check job status
id: status
run: |
if [ "${{ needs.deploy-production.result }}" == "success" ]; then
echo "status=success" >> $GITHUB_OUTPUT
echo "color=#00FF00" >> $GITHUB_OUTPUT
else
echo "status=failure" >> $GITHUB_OUTPUT
echo "color=#FF0000" >> $GITHUB_OUTPUT
fi
- name: Send Slack notification
uses: slackapi/[email protected]
with:
payload: |
{
"text": "Deployment ${{ steps.status.outputs.status }}",
"blocks": [
{
"type": "header",
"text": {
"type": "plain_text",
"text": "🚀 Deployment Status: ${{ steps.status.outputs.status }}"
}
},
{
"type": "section",
"fields": [
{"type": "mrkdwn", "text": "*Repository:*\n${{ github.repository }}"},
{"type": "mrkdwn", "text": "*Branch:*\n${{ github.ref_name }}"},
{"type": "mrkdwn", "text": "*Commit:*\n${{ github.sha }}"},
{"type": "mrkdwn", "text": "*Actor:*\n${{ github.actor }}"}
]
},
{
"type": "actions",
"elements": [
{
"type": "button",
"text": {"type": "plain_text", "text": "View Workflow"},
"url": "${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
}
]
}
]
}
env:
SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
SLACK_WEBHOOK_TYPE: INCOMING_WEBHOOK
- name: Record deployment in Datadog
if: steps.status.outputs.status == 'success'
run: |
curl -X POST "https://api.datadoghq.com/api/v1/events" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${{ secrets.DD_API_KEY }}" \
-d @- <<EOF
{
"title": "Deployment: ${{ github.repository }}",
"text": "Deployed commit ${{ github.sha }} to production",
"tags": ["env:production", "service:${{ github.event.repository.name }}"],
"alert_type": "info"
}
EOF
Got: Slack receives formatted notification with deployment status, repository details, and clickable workflow link. Datadog event logged for successful production deployments with appropriate tags.
If fail: For Slack failures, verify webhook URL is valid and workspace allows incoming webhooks. Test with curl -X POST $SLACK_WEBHOOK_URL -d '{"text":"test"}'. For Datadog failures, verify API key has event submission permissions.
Validation
- Workflow syntax validates with
yamllintor GitHub's workflow editor - All jobs have explicit dependencies (
needs:) to control execution order - Matrix builds cover all target platforms and versions
- Caching reduces build time by >50% on subsequent runs
- Secrets are stored in GitHub Secrets, never hardcoded in workflow files
- Security scans upload results to GitHub Security tab
- Environment protection rules require approval for production deployments
- Failed deployments don't leave system in inconsistent state
- Notifications reach appropriate channels (Slack, email, monitoring tools)
- Workflow completes in <10 minutes for typical changes
Pitfalls
-
Cache key too broad: Using
${{ runner.os }}-build-as cache key causes false hits when dependencies change. IncludehashFiles('**/package-lock.json')in key. -
Artifact name collisions: Using static artifact names like
distcauses overwrites in concurrent builds. Include${{ github.sha }}or${{ matrix.os }}-${{ matrix.node }}in names. -
Secrets in logs: Avoid
echo $SECRETor similar commands. GitHub masks registered secrets, but derived values may leak. Use::add-mask::for dynamic secrets. -
Insufficient permissions: Default
GITHUB_TOKENhas limited permissions. Add explicitpermissions:block for security events, packages, issues, etc. -
Missing if conditionals: Jobs run on all triggers unless guarded with
if: github.ref == 'refs/heads/main'. Prevent accidental production deploys from PRs. -
No rollback strategy: Deployment failures leave system in broken state. Implement blue-green or canary deployments with automatic rollback on health check failures.
-
Hardcoded values: Workflow contains environment-specific URLs, bucket names, or API endpoints. Use environment variables and GitHub Secrets.
-
No timeout limits: Jobs hang indefinitely on network issues or infinite loops. Add
timeout-minutes: 15to all jobs.
Related Skills
setup-github-actions-ci- Initial GitHub Actions configuration for R packages and basic projectscommit-changes- Proper Git workflow integration with CI/CD triggersconfigure-git-repository- Repository settings and branch protection rulessetup-container-registry- Docker image builds in CI/CD pipelinesimplement-gitops-workflow- ArgoCD/Flux integration with CI/CD
GitHub 저장소
연관 스킬
content-collections
메타이 스킬은 콘텐츠 콜렉션(Content Collections)을 위한 프로덕션 검증된 설정을 제공합니다. 콘텐츠 콜렉션은 Markdown/MDX 파일을 Zod 검증이 포함된 타입 안전한 데이터 콜렉션으로 변환해주는 TypeScript 최우선 도구입니다. 블로그, 문서 사이트 또는 콘텐츠 중심의 Vite + React 애플리케이션을 구축할 때 타입 안전성과 자동 콘텐츠 검증을 보장하기 위해 사용하세요. Vite 플러그인 구성과 MDX 컴파일부터 배포 최적화 및 스키마 검증에 이르기까지 모든 것을 다룹니다.
polymarket
메타이 스킬은 개발자들이 Polymarket 예측 시장 플랫폼을 활용한 애플리케이션을 구축할 수 있도록 지원하며, 거래 및 시장 데이터를 위한 API 통합 기능을 포함합니다. 또한 WebSocket을 통한 실시간 데이터 스트리밍을 제공하여 실시간 거래와 시장 활동을 모니터링할 수 있습니다. 이를 통해 거래 전략을 구현하거나 실시간 시장 업데이트를 처리하는 도구를 생성하는 데 활용할 수 있습니다.
creating-opencode-plugins
메타이 스킬은 개발자들이 명령어, 파일, LSP 작업 등 25개 이상의 이벤트 유형에 연결되는 OpenCode 플러그인을 만들 수 있도록 돕습니다. JavaScript/TypeScript 모듈을 위한 플러그인 구조, 이벤트 API 명세, 구현 패턴을 제공합니다. OpenCode AI 어시스턴트의 라이프사이클을 사용자 정의 이벤트 기반 로직으로 가로채거나, 모니터링하거나, 확장해야 할 때 사용하세요.
sglang
메타SGLang은 RadixAttention 프리픽스 캐싱을 활용하여 JSON, 정규식, 에이전트 워크플로우를 위한 고속 구조화 생성에 특화된 고성능 LLM 서빙 프레임워크입니다. 특히 반복되는 프리픽스가 있는 작업에서 상당히 빠른 추론 속도를 제공하여 복잡한 구조화 출력 및 다중 턴 대화에 이상적입니다. 제약 디코딩이 필요하거나 광범위한 프리픽스 공유가 있는 애플리케이션을 구축할 때는 vLLM과 같은 대안보다 SGLang을 선택하십시오.
