devops-automation
CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns
What this skill does
# DevOps Automation
## GitHub Actions Workflow Structure
```yaml
name: CI/CD
on:
push:
branches: [main]
pull_request:
branches: [main]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
cache: 'npm'
- run: npm ci
- run: npm run lint
test:
runs-on: ubuntu-latest
needs: lint
strategy:
matrix:
node-version: [20, 22]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
cache: 'npm'
- run: npm ci
- run: npm test -- --coverage
- uses: actions/upload-artifact@v4
with:
name: coverage-${{ matrix.node-version }}
path: coverage/
deploy:
runs-on: ubuntu-latest
needs: test
if: github.ref == 'refs/heads/main'
environment: production
steps:
- uses: actions/checkout@v4
- run: ./deploy.sh
```
Key patterns:
- Use `concurrency` to cancel outdated runs
- Cache dependencies with setup action's `cache` option
- Use `needs` for job dependencies
- Gate deploys with `environment` protection rules
- Use matrix for cross-version testing
## Docker Multi-Stage Builds
```dockerfile
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci --production
FROM node:22-alpine AS builder
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci
COPY . .
RUN npm run build
FROM node:22-alpine AS runner
WORKDIR /app
RUN addgroup -g 1001 appgroup && adduser -u 1001 -G appgroup -S appuser
COPY --from=deps /app/node_modules ./node_modules
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/package.json ./
USER appuser
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]
```
Rules:
- Use specific image tags, never `latest`
- Run as non-root user
- Copy only necessary files into final stage
- Add `HEALTHCHECK` for orchestrator integration
- Use `.dockerignore` to exclude `node_modules`, `.git`, tests
## Kubernetes Deployment Manifest
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-server
labels:
app: api-server
spec:
replicas: 3
selector:
matchLabels:
app: api-server
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
template:
metadata:
labels:
app: api-server
spec:
containers:
- name: api
image: registry.example.com/api:v1.2.3
ports:
- containerPort: 3000
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
readinessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 15
periodSeconds: 20
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: api-secrets
key: database-url
```
Always set resource requests and limits. Always define readiness and liveness probes. Use `maxUnavailable: 0` for zero-downtime deploys.
## Helm Chart Structure
```
chart/
Chart.yaml
values.yaml
values-staging.yaml
values-production.yaml
templates/
deployment.yaml
service.yaml
ingress.yaml
hpa.yaml
_helpers.tpl
```
```yaml
# values.yaml
replicaCount: 2
image:
repository: registry.example.com/api
tag: latest
pullPolicy: IfNotPresent
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
ingress:
enabled: true
host: api.example.com
autoscaling:
enabled: true
minReplicas: 2
maxReplicas: 10
targetCPUUtilization: 70
```
Use `values-{env}.yaml` overrides per environment. Lint charts with `helm lint`. Test with `helm template` before deploying.
## ArgoCD GitOps Pattern
```yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: api-server
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/k8s-manifests
targetRevision: main
path: apps/api-server
destination:
server: https://kubernetes.default.svc
namespace: production
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=true
```
GitOps principles:
- Git is the single source of truth for cluster state
- All changes go through PRs (no `kubectl apply` in production)
- ArgoCD auto-syncs from Git to cluster
- Enable `selfHeal` to revert manual cluster changes
- Separate app code repos from deployment manifest repos
## Monitoring Stack
```yaml
# Prometheus ServiceMonitor
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: api-server
spec:
selector:
matchLabels:
app: api-server
endpoints:
- port: metrics
interval: 15s
path: /metrics
```
Key metrics to expose:
- `http_request_duration_seconds` (histogram) - request latency by route and status
- `http_requests_total` (counter) - request count by route and status
- `process_resident_memory_bytes` (gauge) - memory usage
- `db_query_duration_seconds` (histogram) - database query latency
Alert on: error rate >1%, P99 latency >2s, memory >80% of limit, pod restarts >3 in 10 minutes.
## Pipeline Best Practices
1. Keep CI under 10 minutes (parallelize jobs, cache aggressively)
2. Run linting and type checking before tests
3. Use ephemeral environments for PR previews
4. Pin all action versions to SHA, not tags
5. Store secrets in GitHub Secrets, never in workflow files
6. Use OIDC for cloud provider authentication (no long-lived keys)
7. Tag images with git SHA, not `latest`
8. Run security scans (Trivy, Snyk) on container images in CI
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.