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Found 376 Skills
Use when writing and deploying Kubernetes manifests for container orchestration.
Kubernetes deployment, management, and troubleshooting. Activate for k8s, kubectl, pods, deployments, services, ingress, namespaces, and container orchestration tasks.
Use for kubectl, CNPG, and kustomize/helm operations in this repo, including rollouts and cluster debugging.
Use this skill when containerizing applications, writing Dockerfiles, deploying to Kubernetes, creating Helm charts, or configuring service mesh. Triggers on Docker, Kubernetes, k8s, containers, pods, deployments, services, ingress, Helm, Istio, container orchestration, and any task requiring container or cluster management.
Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations
Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker). Use when testing Kubernetes applications locally or developing cloud-native workloads.
Kubernetes Ingress Config - Auto-activating skill for DevOps Advanced. Triggers on: kubernetes ingress config, kubernetes ingress config Part of the DevOps Advanced skill category.
Use when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.
Provides production-ready Kubernetes manifest guidance including resource management, security, high availability, and configuration best practices. This skill should be used when working with Kubernetes YAML files, deployments, pods, services, or when users mention k8s, container orchestration, or cloud-native applications.
Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.
Master Kubernetes with pods, deployments, services, ingress, ConfigMaps, secrets, and production cluster management.
Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.