Back to Skills

implement-gitops-workflow

pjt222
Updated 2 days ago
6 views
17
2
17
View on GitHub
Designautomationdesign

About

This skill implements a GitOps workflow for Kubernetes using Argo CD or Flux, featuring the app-of-apps pattern, automated sync, and drift detection. It manages deployments declaratively from Git with multi-environment promotion. Use it to migrate from imperative `kubectl` commands to Git-driven deployments and to set up auditable promotion workflows.

Quick Install

Claude Code

Recommended
Primary
npx skills add pjt222/agent-almanac -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternative
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/implement-gitops-workflow

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

Documentation

Implement GitOps Workflow

Deploy + manage Kubernetes applications with GitOps principles. Argo CD or Flux for automated, auditable, repeatable deployments.

When Use

  • Implement declarative infrastructure + application management
  • Migrate from imperative kubectl/helm commands to Git-driven deployments
  • Set up multi-environment promotion workflows (dev → staging → prod)
  • Enforce code review + approval gates for production deployments
  • Achieve compliance + audit requirements with Git history
  • Implement disaster recovery with Git as single source of truth

Inputs

  • Required: Kubernetes cluster with admin access (EKS, GKE, AKS, or self-hosted)
  • Required: Git repository for Kubernetes manifests + Helm charts
  • Required: Argo CD or Flux CLI installed
  • Optional: Sealed Secrets or External Secrets Operator for secrets management
  • Optional: Image Updater for automated image promotion
  • Optional: Prometheus for monitoring sync status

Steps

See Extended Examples for complete configuration files + templates.

Step 1: Install Argo CD + Configure Repository Access

Deploy Argo CD to cluster + connect to Git repository.

# Create namespace
kubectl create namespace argocd

# Install Argo CD
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

# Wait for pods to be ready
kubectl wait --for=condition=ready pod -l app.kubernetes.io/name=argocd-server -n argocd --timeout=300s

# Install Argo CD CLI
curl -sSL -o argocd-linux-amd64 https://github.com/argoproj/argo-cd/releases/latest/download/argocd-linux-amd64
sudo install -m 555 argocd-linux-amd64 /usr/local/bin/argocd
rm argocd-linux-amd64

# Port-forward to access UI
kubectl port-forward svc/argocd-server -n argocd 8080:443 &

# Get initial admin password
ARGOCD_PASSWORD=$(kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d)
echo "Argo CD Admin Password: $ARGOCD_PASSWORD"

# Login via CLI
argocd login localhost:8080 --username admin --password "$ARGOCD_PASSWORD" --insecure

# Change admin password
argocd account update-password

# Add Git repository (HTTPS with token)
argocd repo add https://github.com/USERNAME/gitops-repo \
  --username USERNAME \
  --password "$GITHUB_TOKEN" \
  --name gitops-repo

# Or add via SSH
ssh-keygen -t ed25519 -C "argocd@cluster" -f argocd-deploy-key -N ""
# Add argocd-deploy-key.pub to GitHub repository deploy keys
argocd repo add [email protected]:USERNAME/gitops-repo.git \
  --ssh-private-key-path argocd-deploy-key \
  --name gitops-repo

# Verify repository connection
argocd repo list

# Configure Ingress for UI (optional)
cat <<EOF | kubectl apply -f -
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: argocd-server-ingress
  namespace: argocd
  annotations:
    cert-manager.io/cluster-issuer: letsencrypt-prod
    nginx.ingress.kubernetes.io/ssl-passthrough: "true"
    nginx.ingress.kubernetes.io/backend-protocol: "HTTPS"
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - argocd.example.com
    secretName: argocd-tls
  rules:
  - host: argocd.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: argocd-server
            port:
              number: 443
EOF

Got: Argo CD installed in argocd namespace. UI accessible via port-forward or Ingress. Admin password changed from default. Git repository added with SSH or token authentication. Repository connection verified.

If fail: Pod CrashLoopBackOff? Check logs with kubectl logs -n argocd -l app.kubernetes.io/name=argocd-server. Repository connection failures? Verify token has repo access or SSH key added to deploy keys. Ingress SSL issues? Ensure cert-manager issued certificate successfully. Login failures? Retrieve password again or reset via kubectl delete secret argocd-initial-admin-secret -n argocd + restart server.

Step 2: Create Application Manifest + Deploy First Application

Define Argo CD Application resource with sync policies + health checks.

# Create Git repository structure
mkdir -p gitops-repo/{apps,infra,projects}
cd gitops-repo

# Create sample application
mkdir -p apps/myapp/overlays/{dev,staging,prod}
mkdir -p apps/myapp/base

# Base Kustomization
cat > apps/myapp/base/kustomization.yaml <<EOF
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
resources:
- deployment.yaml
- service.yaml
EOF

cat > apps/myapp/base/deployment.yaml <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
      - name: myapp
        image: ghcr.io/username/myapp:v1.0.0
        ports:
        - containerPort: 8080
EOF

cat > apps/myapp/base/service.yaml <<EOF
apiVersion: v1
kind: Service
metadata:
  name: myapp
spec:
  selector:
    app: myapp
  ports:
  - port: 80
    targetPort: 8080
EOF

# Production overlay
cat > apps/myapp/overlays/prod/kustomization.yaml <<EOF
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
namespace: production
resources:
- ../../base
replicas:
- name: myapp
  count: 5
images:
- name: ghcr.io/username/myapp
  newTag: v1.0.0
EOF

# Commit to Git
git add .
git commit -m "Add myapp application manifests"
git push

# Create Argo CD Application
cat > argocd-apps/myapp-prod.yaml <<EOF
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: myapp-prod
  namespace: argocd
  finalizers:
  - resources-finalizer.argocd.argoproj.io
spec:
  project: default
  source:
    repoURL: https://github.com/USERNAME/gitops-repo
    targetRevision: main
    path: apps/myapp/overlays/prod
  destination:
    server: https://kubernetes.default.svc
    namespace: production
  syncPolicy:
    automated:
      prune: true      # Delete resources removed from Git
      selfHeal: true   # Auto-sync on drift detection
      allowEmpty: false
    syncOptions:
    - CreateNamespace=true
    - PruneLast=true
    retry:
      limit: 5
      backoff:
        duration: 5s
        factor: 2
        maxDuration: 3m
  revisionHistoryLimit: 10
EOF

# Apply Application via kubectl
kubectl apply -f argocd-apps/myapp-prod.yaml

# Or create via CLI
argocd app create myapp-prod \
  --repo https://github.com/USERNAME/gitops-repo \
  --path apps/myapp/overlays/prod \
  --dest-server https://kubernetes.default.svc \
  --dest-namespace production \
  --sync-policy automated \
  --auto-prune \
  --self-heal

# Watch sync status
argocd app get myapp-prod --watch

# Verify application
kubectl get all -n production
argocd app sync myapp-prod  # Manual sync if automated disabled

Got: Application synced automatic from Git. Resources created in production namespace. Argo CD UI shows healthy status. Automated sync policies enable prune + self-heal. Sync succeeds within retry limits.

If fail: Sync failures? Check application events with argocd app get myapp-prod + kubectl get events -n production. Kustomize build errors? Test locally with kustomize build apps/myapp/overlays/prod. Namespace errors? Verify namespace exists or enable CreateNamespace sync option. Pruning issues? Check finalizers + owner references with kubectl get <resource> -o yaml.

Step 3: Implement App-of-Apps Pattern for Multi-Environment Management

Create root application managing child applications across environments.

# Create app-of-apps structure
mkdir -p argocd-apps/{projects,infra,apps}

# Define projects for RBAC
cat > argocd-apps/projects/production.yaml <<EOF
apiVersion: argoproj.io/v1alpha1
# ... (see EXAMPLES.md for complete configuration)

Got: Root app manages all child applications. New applications automatic deployed when added to Git. Infrastructure applications deployed before app applications (via sync waves if needed). Projects enforce RBAC boundaries. App tree shows parent-child relationships.

If fail: Circular dependencies? Use sync waves to control order. Project permission errors? Verify sourceRepos + destinations match application requirements. Recursive directory issues? Ensure YAML files valid + don't conflict. Missing child apps? Check root app status with argocd app get root-app.

Step 4: Configure Image Updater for Automated Deployments

Set up Argo CD Image Updater to automatically promote new image versions.

# Install Argo CD Image Updater
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj-labs/argocd-image-updater/stable/manifests/install.yaml

# Configure image update strategy via annotations
cat > argocd-apps/myapp-prod-autoupdate.yaml <<EOF
apiVersion: argoproj.io/v1alpha1
# ... (see EXAMPLES.md for complete configuration)

Got: Image Updater monitors registry for new images matching tag patterns. Semantic versioning strategy updates to latest stable release. Git commits created automatic with new image tags. Applications sync with updated images. Staging uses digest strategy for immutable deployments.

If fail: Registry access errors? Verify image-updater has pull credentials via secret or ServiceAccount. Write-back failures? Check git-creds secret has push permissions. No updates detected? Verify tag regex matches actual tags with argocd-image-updater test ghcr.io/username/myapp. Authentication issues? Check image-updater logs for detailed error messages.

Step 5: Implement Progressive Delivery with Argo Rollouts

Enable canary + blue-green deployments with automated rollback.

# Install Argo Rollouts controller
kubectl create namespace argo-rollouts
kubectl apply -n argo-rollouts -f https://github.com/argoproj/argo-rollouts/releases/latest/download/install.yaml

# Install Rollouts kubectl plugin
curl -LO https://github.com/argoproj/argo-rollouts/releases/latest/download/kubectl-argo-rollouts-linux-amd64
# ... (see EXAMPLES.md for complete configuration)

Got: Rollout progressive shifts traffic to canary. Analysis runs at each step, validating success rate. Automated promotion on success, rollback on failure. Argo CD syncs Rollout resources. Dashboard shows real-time rollout progress.

If fail: Analysis failures? Verify Prometheus accessible + query returns valid results. Traffic routing issues? Check Ingress annotations + canary service endpoints. Stuck rollouts? Manually promote or abort. Revision mismatch? Ensure Argo CD sync policy doesn't conflict with Rollouts controller updates.

Step 6: Configure Drift Detection + Webhook Notifications

Monitor for manual changes + send alerts to Slack/email.

# Configure drift detection in Application
cat > argocd-apps/myapp-strict.yaml <<EOF
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: myapp-prod
# ... (see EXAMPLES.md for complete configuration)

Got: Self-heal automatic reverts manual kubectl changes. Notifications sent to Slack on sync failures + successful deployments. Webhooks trigger external systems (PagerDuty, monitoring, ITSM). Drift alerts show what changed + who made changes (via Git history).

If fail: Self-heal not triggering? Verify automated sync policy enabled + refresh interval not too long (default 3m). Notification failures? Test Slack token with curl + verify bot added to channels. Ignored differences not working? Check JSON pointer syntax matches resource structure. Webhook errors? Check endpoint accessibility + authentication headers.

Checks

  • Argo CD or Flux installed + accessible via UI/CLI
  • Git repository connected with proper authentication
  • Applications sync automatic from Git on commit
  • Manual kubectl changes reverted by self-heal
  • App-of-apps pattern deploys multiple applications
  • Image Updater promotes new images based on tag patterns
  • Argo Rollouts perform progressive canary deployments
  • Notifications sent to Slack/email on sync events
  • Drift detection alerts on out-of-band changes
  • RBAC enforces project-level access controls

Pitfalls

  • Automatic prune disabled: Resources removed from Git remain in cluster. Enable prune: true in sync policy.

  • No sync waves: Infrastructure applications deployed after apps that depend on them. Use argocd.argoproj.io/sync-wave annotations to control order.

  • Ignoring HPA-managed replicas: Sync fails because HPA changed replica count. Add /spec/replicas to ignoreDifferences.

  • Write-back conflicts: Image Updater commits conflict with manual commits. Use separate branch or fine-grained RBAC for image updater.

  • Missing finalizers: Application deletion leaves orphaned resources. Add resources-finalizer.argocd.argoproj.io to Application metadata.

  • No analysis templates: Rollouts promote automatic without validation. Implement AnalysisTemplates with metrics queries.

  • Secrets in Git: Plaintext secrets committed to repository. Use Sealed Secrets or External Secrets Operator.

  • Self-heal too aggressive: Self-heal reverts legitimate emergency changes. Use annotations to temporarily disable or implement approval gates.

See Also

  • configure-git-repository - Setting up Git repository structure for GitOps
  • manage-git-branches - Branch strategies for environment promotion
  • deploy-to-kubernetes - Understanding Kubernetes resources managed by GitOps
  • manage-kubernetes-secrets - Sealed Secrets integration with Argo CD
  • build-ci-cd-pipeline - CI builds images, GitOps deploys them
  • setup-container-registry - Image promotion between registries

GitHub Repository

pjt222/agent-almanac
Path: i18n/caveman/skills/implement-gitops-workflow
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

Related Skills

executing-plans

Design

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

View skill

requesting-code-review

Design

This skill dispatches a code-reviewer subagent to analyze code changes against requirements before proceeding. It should be used after completing tasks, implementing major features, or before merging to main. The review helps catch issues early by comparing the current implementation with the original plan.

View skill

connect-mcp-server

Design

This skill provides a comprehensive guide for developers to connect MCP servers to Claude Code using HTTP, stdio, or SSE transports. It covers installation, configuration, authentication, and security for integrating external services like GitHub, Notion, and custom APIs. Use it when setting up MCP integrations, configuring external tools, or working with Claude's Model Context Protocol.

View skill

web-cli-teleport

Design

This skill helps developers choose between Claude Code Web and CLI interfaces based on task analysis, then enables seamless session teleportation between these environments. It optimizes workflow by managing session state and context when switching between web, CLI, or mobile. Use it for complex projects requiring different tools at various stages.

View skill