Loading...
Loading...
Found 229 Skills
Kubernetes Cluster API v1.12. Covers clusterctl CLI, ClusterClass, GitOps integration. Scripts for health checks, backup, migration, linting. Templates: clusters, DR, Prometheus. Keywords: CAPI, clusterctl, kubeadm, cluster lifecycle.
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.
Comprehensive Kubernetes debugging and troubleshooting toolkit. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network connectivity problems, analyzing resource usage, troubleshooting deployments, or performing cluster health checks.
Deploy applications to Kubernetes with production-ready manifests. Supports Deployments, Services, Ingress, HPA, ConfigMaps, Secrets, StatefulSets, and NetworkPolicies. Includes health checks, resource limits, auto-scaling, and TLS termination.
Guide for Grafana Pyroscope continuous profiling. Use for Kubernetes Helm deployment, Go/Java/Python/.NET/Ruby/Node.js profiling, storage backends, trace-to-profile linking, and troubleshooting.
Automate container image updates for Kubernetes workloads managed by Argo CD. USE WHEN configuring ArgoCD Image Updater, setting up automatic image updates, configuring update strategies (semver, digest, newest-build, alphabetical), implementing git write-back, troubleshooting image update issues, or working with ImageUpdater CRDs. Covers installation, configuration, authentication, and best practices.
Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.
Knative serverless platform for Kubernetes. Use when deploying serverless workloads, configuring autoscaling (scale-to-zero), event-driven architectures, traffic management (blue-green, canary), CloudEvents routing, Brokers/Triggers/Sources, or working with Knative Serving/Eventing/Functions. Covers installation, networking (Kourier/Istio/Contour), and troubleshooting.
Partition-first log analysis methodology. Use for log searches, error analysis, pattern finding across Datadog, CloudWatch, or Kubernetes logs.
Setup and configure Minikube for local Kubernetes development
Master Kubernetes with pods, deployments, services, ingress, ConfigMaps, secrets, and production cluster management.
Deploy and manage Azure Kubernetes Service clusters. Configure node pools, networking, and integrations. Use when running Kubernetes workloads on Azure.