Kubernetes Deployment

Kubernetes Deployment Workflow

Overview

Specialized workflow for deploying applications to Kubernetes including container orchestration, Helm charts, service mesh configuration, and production-ready K8s patterns.

When to Use This Workflow

Use this workflow when:

• Deploying to Kubernetes
• Creating Helm charts
• Configuring service mesh
• Setting up K8s networking
• Implementing K8s security

Workflow Phases

Phase 1: Container Preparation

Skills to Invoke

• docker-expert - Docker containerization
• k8s-manifest-generator - K8s manifests

Actions

1. Create Dockerfile
2. Build container image
3. Optimize image size
4. Push to registry
5. Test container

Copy-Paste Prompts

Use @docker-expert to containerize application for K8s

Phase 2: K8s Manifests

Skills to Invoke

• k8s-manifest-generator - Manifest generation
• kubernetes-architect - K8s architecture

Actions

1. Create Deployment
2. Configure Service
3. Set up ConfigMap
4. Create Secrets
5. Add Ingress

Copy-Paste Prompts

Use @k8s-manifest-generator to create K8s manifests

Phase 3: Helm Chart

Skills to Invoke

• helm-chart-scaffolding - Helm charts

Actions

1. Create chart structure
2. Define values.yaml
3. Add templates
4. Configure dependencies
5. Test chart

Copy-Paste Prompts

Use @helm-chart-scaffolding to create Helm chart

Phase 4: Service Mesh

Skills to Invoke

• istio-traffic-management - Istio
• linkerd-patterns - Linkerd
• service-mesh-expert - Service mesh

Actions

1. Choose service mesh
2. Install mesh
3. Configure traffic management
4. Set up mTLS
5. Add observability

Copy-Paste Prompts

Use @istio-traffic-management to configure Istio

Phase 5: Security

Skills to Invoke

• k8s-security-policies - K8s security
• mtls-configuration - mTLS

Actions

1. Configure RBAC
2. Set up NetworkPolicy
3. Enable PodSecurity
4. Configure secrets
5. Implement mTLS

Copy-Paste Prompts

Use @k8s-security-policies to secure Kubernetes cluster

Phase 6: Observability

Skills to Invoke

• grafana-dashboards - Grafana
• prometheus-configuration - Prometheus

Actions

1. Install monitoring stack
2. Configure Prometheus
3. Create Grafana dashboards
4. Set up alerts
5. Add distributed tracing

Copy-Paste Prompts

Use @prometheus-configuration to set up K8s monitoring

Phase 7: Deployment

Skills to Invoke

• deployment-engineer - Deployment
• gitops-workflow - GitOps

Actions

1. Configure CI/CD
2. Set up GitOps
3. Deploy to cluster
4. Verify deployment
5. Monitor rollout

Copy-Paste Prompts

Use @gitops-workflow to implement GitOps deployment

Quality Gates

• Containers working
• Manifests valid
• Helm chart installs
• Security configured
• Monitoring active
• Deployment successful

Related Workflow Bundles

• cloud-devops - Cloud/DevOps
• terraform-infrastructure - Infrastructure
• docker-containerization - Containers

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Kubernetes Deployment"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags kubernetes-deployment workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.