Kubernetes

ArgoCD application management, sync operations, and GitOps troubleshooting

Diagnose Ingress failures (rules not matching, backend unreachable, TLS errors, no address assigned). Checks Ingress resources, IngressClass, backend Services, and controller health to identify why external traffic is not routed correctly.

Deploy or redeploy the Kagenti Kind cluster using the Python installer - quick redeploy, manual steps, and troubleshooting

Deploy Kubernetes workloads to real cloud providers. Use when provisioning managed Kubernetes (DOKS, AKS, GKE, EKS, Civo) or self-managed clusters (Hetzner + K3s). Covers CLI tools, cluster creation, LoadBalancers, DNS, TLS, and cost optimization.

Master Kubernetes cluster administration, from initial setup through production management. Learn cluster installation, scaling, upgrades, and HA strategies.

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

Expertise in deployment automation, container orchestration, and infrastructure as code. Activates when working with "deploy", "kubernetes", "docker", "terraform", "helm", "k8s", "container", or cloud infrastructure.

Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing declarative infrastructure with Git as single source of truth, (3) Setting up continuous deployment pipelines with ArgoCD/Flux/Kargo, (4) Establishing branching strategies and repository structures, (5) Troubleshooting drift, sync failures, or reconciliation issues, (6) Evaluating GitOps tooling decisions, (7) Teaching or explaining GitOps concepts and best practices, (8) Deploying ArgoCD on Azure Arc-enabled Kubernetes or AKS with workload identity. Covers the 4 pillars of GitOps (OpenGitOps), patterns, anti-patterns, tooling ecosystem, Azure Arc integration, and operational guidance.

PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.

Infrastructure guidelines for A4C-AppSuite. Covers idempotent Supabase SQL migrations with RLS policies, Kubernetes deployments for Temporal workers, CQRS projections with PostgreSQL triggers, and AsyncAPI contract-first event design. Emphasizes safety, idempotency, and SQL-first development.

Expert-level Kubernetes cluster management, deployment strategies, networking, and production operations

Complete patterns for creating and managing Helm charts: chart structure, templates, values, dependencies, and deployment workflows for packaging Kubernetes applications.

GitOps workflows and CI/CD pipeline integration for Kubernetes and OpenShift. Use this skill when: (1) Setting up ArgoCD or Flux for GitOps deployment (2) Creating CI/CD pipelines for K8s workloads (GitHub Actions, GitLab CI, Tekton) (3) Implementing progressive delivery (Canary, Blue-Green, A/B testing) (4) Configuring Kustomize overlays for multi-environment deployments (5) Creating Helm charts or managing Helm releases (6) Setting up image automation and promotion workflows (7) Implementing policy-as-code (Kyverno, OPA Gatekeeper) (8) Secret management in GitOps (Sealed Secrets, External Secrets, SOPS) (9) Multi-cluster GitOps configurations (10) OpenShift Pipelines (Tekton) and GitOps Operator setup

Best practices for running GitHub Actions ARC runners on Rackspace Spot Kubernetes. Covers spot instance management, preemption handling, cost optimization, and resilience strategies. Activates on "rackspace spot", "spot instances", "preemption", "cost optimization", or "spot interruption".

Interactive narrative learning session that teaches Kubernetes through a Space Station adventure at intermediate level. Use this session when you want to learn Kubernetes through immersive story-driven chapters, hands-on exercises, and tasks grounded in real, up-to-date documentation.

Comprehensive Kubernetes and OpenShift cluster health analysis and troubleshooting based on Popeye's issue detection patterns. Use this skill when: (1) Proactive cluster health assessment and security analysis (2) Analyzing pod/container logs for errors or issues (3) Interpreting cluster events (kubectl get events) (4) Debugging pod failures: CrashLoopBackOff, ImagePullBackOff, OOMKilled, etc. (5) Diagnosing networking issues: DNS, Service connectivity, Ingress/Route problems (6) Investigating storage issues: PVC pending, mount failures (7) Analyzing node problems: NotReady, resource pressure, taints (8) Troubleshooting OCP-specific issues: SCCs, Routes, Operators, Builds (9) Performance analysis and resource optimization (10) Security vulnerability assessment and RBAC validation (11) Configuration best practices validation (12) Reliability and high availability analysis

Comprehensive GitOps with ArgoCD skill for automating Kubernetes deployments from hello world to professional production pipelines. Use when deploying, managing, and operating applications on Kubernetes using GitOps principles with ArgoCD for declarative, automated, and auditable infrastructure and application management.

Expert knowledge for Azure Kubernetes Service (AKS) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Kubernetes Service (AKS) applications. Not for Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), Azure Container Apps (use azure-container-apps), Azure Container Instances (use azure-container-instances), Azure Red Hat OpenShift (use azure-redhat-openshift).

MASTER DEPLOY: CI/CD Pipelines, Docker, K8s, GitOps (Flux/ArgoCD), Progressive Delivery (Canary). Use for Infra setup, pipelines, and releases.

Cert Manager Setup - Auto-activating skill for DevOps Advanced. Triggers on: cert manager setup, cert manager setup Part of the DevOps Advanced skill category.

Argocd App Deployer - Auto-activating skill for DevOps Advanced. Triggers on: argocd app deployer, argocd app deployer Part of the DevOps Advanced skill category.

Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.

Enterprise-grade system development with microservices, Kubernetes, and Terraform. Includes AI Native methodology and Monorepo architecture patterns. Handles high traffic, high availability, and complex architecture requirements. Project initialization with "init enterprise" or "enterprise init". Use proactively when user needs high traffic, microservices, custom infrastructure, or AI-native development patterns. Triggers: microservices, kubernetes, terraform, k8s, AWS, monorepo, AI native, 10-day, init enterprise, enterprise init, 마이크로서비스, 모노레포, マイクロサービス, モノレポ, 微服务, 单仓库, microservicios, estrategia empresarial, arquitectura, CTO, nativo de IA, microservices, stratégie d'entreprise, architecture, CTO, natif IA, Microservices, Unternehmensstrategie, Architektur, CTO, KI-nativ, microservizi, strategia aziendale, architettura, CTO, AI nativo Do NOT use for: simple websites, MVPs, or projects without infrastructure requirements.

Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.

Harness CD (Continuous Delivery) for Kubernetes, Helm, Terraform, ECS, and serverless deployments with GitOps, approval gates, rollback strategies, and multi-environment promotion

Configure Kubernetes autoscaling with HPA, VPA, and KEDA. Use for horizontal/vertical pod autoscaling, event-driven scaling, and capacity management.

Virtual machine management with KubeVirt on Kubernetes. Use when creating, managing, or troubleshooting VMs running on Kubernetes clusters.

Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.

Production-grade Helm 4 chart development, release management, and debugging. This skill should be used when users ask to create Helm charts, deploy with Helm, manage releases (install/upgrade/rollback), push charts to OCI registries, debug failed deployments, configure chart dependencies, create umbrella charts, set up GitOps with ArgoCD/Flux, or troubleshoot Helm issues. Auto-detects from Dockerfile/code, generates production-hardened charts with library patterns. Complements kubernetes skill.

Comprehensive Kubernetes deployment and scaling for containerized applications from hello world to professional production systems. Use this skill when deploying, managing, and scaling containerized applications on Kubernetes clusters, particularly with Minikube for local development and testing.

kubectl-localmeshにおけるEnvoy HTTPプロトコル設定の実装パターンとトラブルシューティング

Kubernetes storage management for PVCs, storage classes, and persistent volumes. Use when provisioning storage, managing volumes, or troubleshooting storage issues.

Optimize Kubernetes costs through resource right-sizing, unused resource detection, and cluster efficiency analysis. Use for cost optimization, resource analysis, and capacity planning.

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design.

Comprehensive toolkit for validating, linting, and testing Kubernetes YAML resources. Use this skill when validating Kubernetes manifests, debugging YAML syntax errors, performing dry-run tests on clusters, or working with Custom Resource Definitions (CRDs) that require documentation lookup.

Design and implement production-grade Kubernetes clusters with best practices for reliability, security, and scalability. Use when planning cluster architecture, designing K8s network models, or implementing multi-cluster strategies.

Automatic activation for ALL Google Cloud Agent Development Kit (ADK) and Agent Starter Pack operations - multi-agent systems, containerized deployment, RAG agents, and production orchestration. **TRIGGER PHRASES:** - "adk", "agent development kit", "agent starter pack", "multi-agent", "build agent" - "cloud run agent", "gke deployment", "agent engine", "containerized agent" - "rag agent", "react agent", "agent orchestration", "agent templates" **AUTO-INVOKES FOR:** - Agent creation and scaffolding - Multi-agent system design - Containerized agent deployment - RAG (Retrieval-Augmented Generation) implementation - CI/CD pipeline setup for agents - Agent evaluation and monitoring

Container and Kubernetes security patterns including Docker hardening, image scanning, pod security standards, network policies, RBAC, secrets management, and runtime protection. Use when securing containerized applications, building secure images, or configuring Kubernetes security controls.

IAM Roles for Service Accounts (IRSA) for EKS pod-level AWS permissions. Use when configuring pod IAM access, setting up AWS service integrations, implementing least-privilege security, troubleshooting OIDC trust relationships, or deploying AWS controllers.

Use this skill when you need to deploy HyperShift clusters on bare metal, edge environments, or disconnected infrastructures using pre-provisioned agents

Expert DevOps engineer specializing in secure CI/CD pipelines, infrastructure automation, container orchestration, and developer experience optimization. Covers GitHub Actions, Docker, Kubernetes, cloud platforms (AWS/Azure/GCP), monitoring, secrets management, and infrastructure as code. Security-first approach following DevSecOps principles. Use for pipeline design, deployment automation, infrastructure setup, monitoring configuration, or improving developer workflows.

Use when building event-driven systems with Apache Kafka on Kubernetes. Triggers include EDA patterns, Kafka producers/consumers, Strimzi operator deployment, Schema Registry, transactions, exactly-once semantics. NOT for general messaging (use Dapr pub/sub for abstraction).

Troubleshoot Terway CNI issues in Kubernetes using Kubernetes events and Terway logs. Use when diagnosing "cni plugin not initialized", Pod create/delete failures, or ENI/IPAM problems in Terway (centralized or non-centralized IPAM).

Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.

Execute use when constructing GitOps workflows using ArgoCD or Flux. Trigger with phrases like "create GitOps workflow", "setup ArgoCD", "configure Flux", or "automate Kubernetes deployments". Generates production-ready configurations, implements best practices, and ensures security-first approach for continuous deployment.

Execute use when managing Kubernetes network policies and firewall rules. Trigger with phrases like "create network policy", "configure firewall rules", "restrict pod communication", or "setup ingress/egress rules". Generates Kubernetes NetworkPolicy manifests following least privilege and zero-trust principles.

Advanced GCP patterns for Cloud Run, Vertex AI, BigQuery, and GKE

Senior DevOps Engineer with 12+ years cloud infrastructure experience. Use when setting up cloud infrastructure, writing Terraform configurations, creating Kubernetes manifests, building CI/CD pipelines with GitHub Actions, configuring Docker, or managing secrets.

Use when building cloud-native apps. Keywords: kubernetes, k8s, docker, container, grpc, tonic, microservice, service mesh, observability, tracing, metrics, health check, cloud, deployment, 云原生, 微服务, 容器

AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.