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build-ci-cd-pipeline

pjt222
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About

This skill helps developers create multi-stage CI/CD pipelines using GitHub Actions, featuring matrix builds, dependency caching, and artifact management. It's designed for setting up automated testing and deployment, migrating from other CI tools, or implementing complex workflows with parallel execution and conditional logic. Use it to establish pipelines covering linting, testing, building, and deployment with integrated security and quality gates.

Quick Install

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Git CloneAlternative
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/build-ci-cd-pipeline

Copy and paste this command in Claude Code to install this skill

Documentation

Build CI/CD Pipeline

Design and implement production-grade continuous integration and deployment pipelines with GitHub Actions.

When Use

  • Setting up automated testing and deployment for 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 config for specialized builds
  • Optional: Branch protection rules and required status checks

Steps

Step 1: Create Base Workflow Structure

Create .github/workflows/ci.yml with trigger config and basic job structure.

name: CI Pipeline

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, proper YAML syntax, triggers configured, basic lint job defined.

If fail: Validate YAML with yamllint .github/workflows/ci.yml. Check indentation (spaces, not tabs). Verify action versions current via GitHub Marketplace.

Step 2: Implement Matrix Build Strategy

Add matrix builds to test across multiple platforms, language versions, 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 uploads from single canonical job.

If fail: Matrix syntax errors? Verify 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, 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 with unique SHA-based naming.

If fail: Cache misses frequently? Verify cache key includes all relevant file hashes. Upload failures? Check path exists, 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: False positives? Create .trivyignore with CVE IDs and justifications. Audit failures? Review npm audit fix suggestions. 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 (from GitHub Environment settings). CloudFront invalidation clears CDN cache. Release created for tagged commits.

If fail: AWS credential errors? Verify OIDC trust relationship allows role-to-assume. S3 sync failures? Check bucket policies and IAM permissions. Environment approval issues? Verify protection rules in Settings > Environments.

Step 6: Add Notification and Monitoring Integration

Integrate Slack notifications, deployment tracking, 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, clickable workflow link. Datadog event logged for successful production deployments with appropriate tags.

If fail: Slack failures? Verify webhook URL valid, workspace allows incoming webhooks. Test with curl -X POST $SLACK_WEBHOOK_URL -d '{"text":"test"}'. Datadog failures? Verify API key has event submission permissions.

Checks

  • Workflow syntax validates with yamllint or 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 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. Include hashFiles('**/package-lock.json') in key.

  • Artifact name collisions: Using static artifact names like dist causes overwrites in concurrent builds. Include ${{ github.sha }} or ${{ matrix.os }}-${{ matrix.node }} in names.

  • Secrets in logs: Avoid echo $SECRET or similar commands. GitHub masks registered secrets, but derived values may leak. Use ::add-mask:: for dynamic secrets.

  • Insufficient permissions: Default GITHUB_TOKEN has limited permissions. Add explicit permissions: 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, API endpoints. Use environment variables and GitHub Secrets.

  • No timeout limits: Jobs hang indefinitely on network issues or infinite loops. Add timeout-minutes: 15 to all jobs.

See Also

  • setup-github-actions-ci - Initial GitHub Actions config for R packages and basic projects
  • commit-changes - Proper Git workflow integration with CI/CD triggers
  • configure-git-repository - Repository settings and branch protection rules
  • setup-container-registry - Docker image builds in CI/CD pipelines
  • implement-gitops-workflow - ArgoCD/Flux integration with CI/CD

GitHub Repository

pjt222/agent-almanac
Path: i18n/caveman/skills/build-ci-cd-pipeline
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