Claude-Skills ci-cd-pipeline-builder
install
source · Clone the upstream repo
git clone https://github.com/borghei/Claude-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/borghei/Claude-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/engineering/ci-cd-pipeline-builder" ~/.claude/skills/borghei-claude-skills-ci-cd-pipeline-builder && rm -rf "$T"
manifest:
engineering/ci-cd-pipeline-builder/SKILL.mdsource content
CI/CD Pipeline Builder
Tier: POWERFUL Category: Engineering / DevOps Maintainer: Claude Skills Team
Overview
Generate production-grade CI/CD pipelines from detected project stack signals. Analyzes lockfiles, manifests, and scripts to produce optimized pipelines with proper caching, matrix strategies, security scanning, and deployment gates. Supports GitHub Actions, GitLab CI, CircleCI, and Buildkite with deployment strategies including blue-green, canary, and rolling updates.
Keywords
CI/CD, GitHub Actions, GitLab CI, pipeline, deployment, caching, matrix builds, blue-green deployment, canary deployment, security scanning, SAST, container builds, environment gates
Core Capabilities
1. Stack Detection
- Language/runtime detection from lockfiles and manifests
- Package manager inference from lock file format
- Build/test/lint command extraction from scripts
- Framework detection (Next.js, FastAPI, Go modules, etc.)
- Infrastructure detection (Docker, Kubernetes, Terraform)
2. Pipeline Generation
- Lint, test, build, deploy stages with correct dependencies
- Caching strategies matched to package manager
- Matrix builds for multi-version support
- Artifact passing between jobs
- Conditional execution (path filters, branch rules)
3. Deployment Strategies
- Blue-green with instant rollback
- Canary with percentage-based traffic shifting
- Rolling updates with health checks
- Feature flags integration
- Manual approval gates for production
4. Security Integration
- SAST scanning (CodeQL, Semgrep, Snyk)
- Dependency vulnerability scanning
- Container image scanning (Trivy, Grype)
- Secret scanning in CI
- SBOM generation
When to Use
- Bootstrapping CI/CD for a new repository
- Migrating between CI platforms
- Optimizing slow or flaky pipelines
- Adding deployment stages to an existing CI-only pipeline
- Implementing security scanning in the pipeline
- Setting up multi-environment deployment (staging, production)
Stack Detection Heuristics
File Found → Inference ───────────────────────────────────────────────── package-lock.json → Node.js + npm pnpm-lock.yaml → Node.js + pnpm yarn.lock → Node.js + yarn bun.lockb → Bun requirements.txt / Pipfile → Python + pip/pipenv pyproject.toml + uv.lock → Python + uv poetry.lock → Python + poetry go.mod → Go Cargo.lock → Rust Gemfile.lock → Ruby composer.lock → PHP next.config.* → Next.js (Node.js) nuxt.config.* → Nuxt (Node.js) Dockerfile → Container build needed docker-compose.yml → Multi-service setup terraform/*.tf → Infrastructure as Code k8s/ or kubernetes/ → Kubernetes deployment
GitHub Actions Pipeline Templates
Node.js (pnpm + Vitest + Next.js)
name: CI/CD on: push: branches: [main, dev] pull_request: branches: [main, dev] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true env: NODE_VERSION: '20' PNPM_VERSION: '9' jobs: lint-and-typecheck: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: pnpm/action-setup@v4 with: version: ${{ env.PNPM_VERSION }} - uses: actions/setup-node@v4 with: node-version: ${{ env.NODE_VERSION }} cache: 'pnpm' - run: pnpm install --frozen-lockfile - run: pnpm lint - run: pnpm typecheck test: runs-on: ubuntu-latest needs: lint-and-typecheck services: postgres: image: postgres:16 env: POSTGRES_USER: test POSTGRES_PASSWORD: test POSTGRES_DB: testdb ports: ['5432:5432'] options: >- --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 5 steps: - uses: actions/checkout@v4 - uses: pnpm/action-setup@v4 with: version: ${{ env.PNPM_VERSION }} - uses: actions/setup-node@v4 with: node-version: ${{ env.NODE_VERSION }} cache: 'pnpm' - run: pnpm install --frozen-lockfile - run: pnpm test:ci env: DATABASE_URL: postgresql://test:test@localhost:5432/testdb build: runs-on: ubuntu-latest needs: test steps: - uses: actions/checkout@v4 - uses: pnpm/action-setup@v4 with: version: ${{ env.PNPM_VERSION }} - uses: actions/setup-node@v4 with: node-version: ${{ env.NODE_VERSION }} cache: 'pnpm' - run: pnpm install --frozen-lockfile - run: pnpm build - uses: actions/upload-artifact@v4 with: name: build-output path: .next/ retention-days: 1 security-scan: runs-on: ubuntu-latest permissions: security-events: write steps: - uses: actions/checkout@v4 - uses: github/codeql-action/init@v3 with: languages: javascript-typescript - uses: github/codeql-action/analyze@v3 deploy-staging: if: github.ref == 'refs/heads/main' && github.event_name == 'push' needs: [build, security-scan] runs-on: ubuntu-latest environment: name: staging url: https://staging.myapp.com steps: - uses: actions/checkout@v4 - uses: actions/download-artifact@v4 with: name: build-output path: .next/ - name: Deploy to staging run: | # Replace with your deployment command echo "Deploying to staging..." env: DEPLOY_TOKEN: ${{ secrets.STAGING_DEPLOY_TOKEN }} deploy-production: if: github.ref == 'refs/heads/main' && github.event_name == 'push' needs: deploy-staging runs-on: ubuntu-latest environment: name: production url: https://myapp.com steps: - uses: actions/checkout@v4 - uses: actions/download-artifact@v4 with: name: build-output path: .next/ - name: Deploy to production run: | echo "Deploying to production..." env: DEPLOY_TOKEN: ${{ secrets.PROD_DEPLOY_TOKEN }}
Python (uv + pytest + FastAPI)
name: CI/CD on: push: branches: [main] pull_request: jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: astral-sh/setup-uv@v4 - run: uv sync --frozen - run: uv run ruff check . - run: uv run ruff format --check . - run: uv run mypy src/ test: runs-on: ubuntu-latest needs: lint strategy: matrix: python-version: ['3.11', '3.12', '3.13'] services: postgres: image: postgres:16 env: POSTGRES_USER: test POSTGRES_PASSWORD: test POSTGRES_DB: testdb ports: ['5432:5432'] options: --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 5 steps: - uses: actions/checkout@v4 - uses: astral-sh/setup-uv@v4 with: python-version: ${{ matrix.python-version }} - run: uv sync --frozen - run: uv run pytest --cov --cov-report=xml -v env: DATABASE_URL: postgresql://test:test@localhost:5432/testdb - uses: codecov/codecov-action@v4 if: matrix.python-version == '3.12' with: file: coverage.xml build-container: needs: test runs-on: ubuntu-latest permissions: contents: read packages: write steps: - uses: actions/checkout@v4 - uses: docker/setup-buildx-action@v3 - uses: docker/login-action@v3 with: registry: ghcr.io username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - uses: docker/build-push-action@v6 with: context: . push: ${{ github.ref == 'refs/heads/main' }} tags: ghcr.io/${{ github.repository }}:${{ github.sha }} cache-from: type=gha cache-to: type=gha,mode=max container-scan: needs: build-container if: github.ref == 'refs/heads/main' runs-on: ubuntu-latest steps: - uses: aquasecurity/trivy-action@master with: image-ref: ghcr.io/${{ github.repository }}:${{ github.sha }} severity: 'CRITICAL,HIGH' exit-code: '1'
Deployment Strategy Decision Framework
How critical is zero-downtime? │ ├─ Critical (payment processing, real-time systems) │ └─ BLUE-GREEN DEPLOYMENT │ Pro: Instant rollback, zero-downtime guaranteed │ Con: Requires 2x infrastructure during deployment │ ├─ Important but can tolerate brief errors │ ├─ Need to validate with real traffic first? │ │ └─ CANARY DEPLOYMENT │ │ Pro: Test with small % of traffic before full rollout │ │ Con: Complex routing, need observability for canary metrics │ │ │ └─ Standard web app with health checks │ └─ ROLLING UPDATE │ Pro: Simple, built into K8s/ECS, gradual rollout │ Con: Both versions serve traffic during rollout │ └─ Development/staging environment └─ RECREATE (stop old, start new) Pro: Simplest, cleanest Con: Brief downtime during deployment
Caching Strategy Reference
| Package Manager | Cache Path | Key Pattern |
|---|---|---|
| npm | | |
| pnpm | Detected by setup-node | in setup-node |
| yarn | | |
| pip | | |
| uv | | Handled by setup-uv |
| Go | | |
| Cargo | | |
| Docker | GHA cache | in build-push-action |
Pipeline Optimization Techniques
1. Path Filtering (Skip Unnecessary Runs)
on: push: paths: - 'src/**' - 'tests/**' - 'package.json' - 'pnpm-lock.yaml' paths-ignore: - '**.md' - 'docs/**' - '.github/ISSUE_TEMPLATE/**'
2. Job Dependency Graph
lint ──────┐ ├──→ test ──→ build ──→ deploy-staging ──→ deploy-production typecheck ─┘ │ └──→ security-scan
3. Matrix Strategy with Fail-Fast
strategy: fail-fast: true # cancel all if one fails matrix: node-version: [18, 20, 22] os: [ubuntu-latest] include: - node-version: 20 os: macos-latest # test one combo on macOS
GitLab CI Equivalent
stages: - validate - test - build - deploy variables: NODE_VERSION: "20" .node-setup: &node-setup image: node:${NODE_VERSION} cache: key: ${CI_COMMIT_REF_SLUG} paths: - node_modules/ - .pnpm-store/ before_script: - corepack enable - pnpm install --frozen-lockfile lint: stage: validate <<: *node-setup script: - pnpm lint - pnpm typecheck test: stage: test <<: *node-setup services: - postgres:16 variables: POSTGRES_DB: testdb POSTGRES_USER: test POSTGRES_PASSWORD: test DATABASE_URL: postgresql://test:test@postgres:5432/testdb script: - pnpm test:ci coverage: '/All files[^|]*\|[^|]*\s+([\d\.]+)/' build: stage: build <<: *node-setup script: - pnpm build artifacts: paths: - .next/ expire_in: 1 hour deploy_staging: stage: deploy environment: name: staging url: https://staging.myapp.com rules: - if: $CI_COMMIT_BRANCH == "main" script: - echo "Deploy to staging" deploy_production: stage: deploy environment: name: production url: https://myapp.com rules: - if: $CI_COMMIT_BRANCH == "main" when: manual needs: [deploy_staging] script: - echo "Deploy to production"
Validation Checklist
Before merging a generated pipeline:
- YAML parses without syntax errors
- All referenced commands exist in the repository (
,test
,lint
)build - Cache strategy matches the detected package manager
- Required secrets are documented (not embedded in YAML)
- Branch protection rules match organization policy
- Deployment jobs are gated by protected environments
- Security scanning runs on the appropriate code paths
- Artifact retention is set (do not keep build artifacts indefinitely)
- Concurrency group prevents duplicate runs on the same branch
- Path filters exclude documentation-only changes from full CI runs
Common Pitfalls
- Copying pipelines between projects without adapting to the actual stack
- No concurrency control leading to redundant parallel runs on rapid pushes
- Missing cache keys causing cache misses on every run (slow builds)
- Running full matrix on every PR when only main needs multi-version testing
- Hardcoding secrets in YAML instead of using CI secret stores
- No path filtering so documentation changes trigger full build+test+deploy
- Deploy jobs without environment gates allowing accidental production deployments
- No artifact retention policy causing storage costs to grow indefinitely
Best Practices
- Detect stack first, then generate pipeline — never guess at build commands
- Keep the generated baseline under version control and customize incrementally
- One optimization at a time — add caching, then matrix, then split jobs
- Require green CI before any deployment job can execute
- Use protected environments for production credentials and manual approval gates
- Track pipeline duration and flakiness as first-class engineering metrics
- Separate deploy jobs from CI jobs to keep feedback fast for developers
- Regenerate the pipeline when the stack changes significantly (new language, new framework)
Troubleshooting
| Problem | Cause | Solution |
|---|---|---|
| Pipeline YAML fails validation | Indentation errors or invalid key names | Run locally before committing; use the CI platform's built-in linter (e.g., for GitHub Actions, for GitLab) |
| Cache misses on every run | Cache key does not include the correct lockfile hash | Verify the path matches the actual lockfile location; check the Caching Strategy Reference table above |
| Matrix build times explode | Running full OS + version matrix on every PR | Restrict the full matrix to branch pushes; run a single representative version on PRs |
| Deployment job triggers on PRs | Missing branch/event guard on deploy jobs | Add or equivalent platform condition |
| Service containers fail to start | Health check misconfigured or image not found | Pin the service image to a specific major version; confirm health check command exists in the image |
| Secret not available in workflow | Secret not added to the repository or environment settings | Add the secret via the CI platform's secrets UI; ensure the job references the correct name |
| Build artifact missing in deploy job | Artifact name mismatch or retention expired | Ensure and use the same value; set high enough to survive the full pipeline |
Success Criteria
- Pipeline generates valid YAML that passes platform-native linting on first attempt for detected stacks
- Build times stay under 10 minutes for lint + test + build stages combined (excluding deploy)
- Cache hit rate exceeds 90% on repeat runs with unchanged lockfiles
- Security scanning (SAST + dependency + container) executes on every push to
without manual triggersmain - Deployment to staging is fully automated; production requires exactly one manual approval gate
- Pipeline flakiness rate remains below 2% over a rolling 30-day window
- Zero hardcoded secrets in generated pipeline YAML; all sensitive values reference platform secret stores
Scope & Limitations
This skill covers:
- Generating CI/CD pipelines for GitHub Actions, GitLab CI, CircleCI, and Buildkite
- Stack detection from lockfiles, manifests, Dockerfiles, and infrastructure-as-code definitions
- Deployment strategy selection (blue-green, canary, rolling, recreate) with decision framework
- Pipeline optimization including caching, matrix builds, path filtering, and concurrency control
This skill does NOT cover:
- Runtime infrastructure provisioning or cloud resource management (see
)engineering/saas-scaffolder - Application-level security hardening beyond CI-integrated scanning (see
)engineering/skill-security-auditor - Monitoring, alerting, and observability configuration after deployment (see
)engineering/observability-designer - Database migration orchestration during deployments (see
)engineering/migration-architect
Integration Points
| Skill | Integration | Data Flow |
|---|---|---|
| Feeds vulnerability scan results into pipeline security gates | Auditor findings trigger pipeline failure or warning annotations |
| Coordinates versioning and changelog with deploy stages | Release tags drive conditional deployment job execution |
| Post-deploy health checks and alerting complement pipeline gates | Pipeline triggers smoke tests; observability confirms deployment health |
| Manages secrets referenced by pipeline environment variables | Secret rotation policies feed into pipeline secret store configuration |
| Database migrations run as a pre-deploy step in the pipeline | Migration status gates the application deployment job |
| Generates rollback runbooks aligned with deployment strategy | Pipeline failure triggers link to the relevant rollback runbook |