Containers

Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.

This skill should be used when the user asks to "build multiple Dockerfiles", "compile varios dockerfiles", "multi-container build", "multiple Docker images in GitLab", "parallel Docker builds", "monorepo Docker builds", "build frontend backend worker containers", or needs to build multiple Docker images from different Dockerfiles in a single GitLab project using To-Be-Continuous Docker template.

Symfony framework mastery - Doctrine, DI container, Messenger, and enterprise architecture

Manages local Kubernetes clusters using Minikube for development and testing. This skill should be used when setting up local K8s environments, enabling addons, configuring networking, and deploying applications locally. Use this skill for Phase IV local Kubernetes deployments before cloud deployment.

Game server deployment with Docker, Kubernetes, and global distribution strategies

Enforces Head Shakers integration testing conventions for facades, server actions, and database operations using Testcontainers with real PostgreSQL.

Run local system diagnostics and model benchmarks across CPU, memory, GPU, NPU, Docker, and Kubernetes; use when asked to benchmark, health-check, or collect environment diagnostics, and store a summary in memory.

Spring Boot 4 testing strategies and patterns. Use when writing unit tests, slice tests (@WebMvcTest, @DataJpaTest), integration tests, Testcontainers with @ServiceConnection, security testing (@WithMockUser, JWT), or Modulith event testing with Scenario API. Covers the critical @MockitoBean migration from @MockBean.

Docker containerization for Go applications

Comprehensive Kubernetes cluster management skill. Use this skill when working with Kubernetes resources, kubectl operations, Helm charts, container orchestration, debugging pods, managing deployments, or any Kubernetes-related infrastructure tasks.

Set up multi-container applications with Docker Compose including services, networks, and volumes

AI-powered Kubernetes operations using kubectl-ai from Google Cloud Platform. This skill should be used when managing Kubernetes clusters with natural language commands, generating manifests, troubleshooting issues, and performing AI-assisted DevOps. Use this skill for Phase IV AIOps integration with Minikube and cloud clusters.

Generates optimized Dockerfiles for various languages and frameworks with best practices (multi-stage builds, layer caching, security). Use when user asks to "create dockerfile", "dockerize app", "containerize", or "docker setup".

Containerizes applications with Docker, docker-compose, and Helm charts.Use when creating Dockerfiles, docker-compose configurations, or Helm charts for Kubernetes.Includes Docker Hardened Images (95% fewer CVEs), multi-stage builds, and 15+ battle-tested gotchas.

Scaffold and automate Grafana plugin projects using @grafana/create-plugin. Use when creating panel plugins, data source plugins, app plugins, or backend plugins. Handles project scaffolding, Docker dev environment setup, and plugin configuration.

Validate Kubernetes deployments before execution. Run pre-flight checks for password generation, environment variables, database authentication, CORS configuration, and docker-compose parity. Use this skill BEFORE every Helm install/upgrade to prevent deployment failures.

Bootstrap a new node for Kubernetes without joining it to the cluster. Use when preparing nodes in advance, testing setup, or staging hardware.

Generates Kubernetes manifests (Deployments, Services, Ingress, ConfigMaps, Secrets) with best practices for production workloads. Use when user asks to "create k8s manifest", "generate Kubernetes deployment", "setup k8s service", or "create Kubernetes resources".

Master Docker with containers, images, multi-stage builds, Docker Compose, networking, and production-ready containerization.

Use when starting or scaling the development environment, deploying to production Proxmox LXC, using patch deployments for preprod fixes, managing Docker Compose services, or running CLI commands.