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Found 63 Skills
Traefik v3 cloud-native reverse proxy. Covers providers, entrypoints, routers, middlewares, services, Docker labels, TLS/ACME, dashboard, and metrics. USE WHEN: user mentions "traefik", "traefik v3", "traefik docker", "traefik labels", "traefik middleware", "traefik dashboard", "traefik tls", "traefik acme", "traefik router", "traefik entrypoint", "traefik reverse proxy", "traefik cloudflare", "traefik let's encrypt", "traefik rate limit" DO NOT USE FOR: Caddy-based setups - use `caddy` skill, Nginx load balancing - use `load-balancer` skill, Kubernetes ingress with nginx-ingress - use `kubernetes` skill, Application-level TLS inside app code
Use when deploying or managing Kubernetes workloads requiring cluster configuration, security hardening, or troubleshooting. Invoke for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization.
Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.
Kubernetes and Helm patterns - use for deployment configs, service definitions, ConfigMaps, Secrets, and Helm chart management
Expert-level Microsoft Azure cloud platform, services, and architecture
Go (Golang) with goroutines, channels, interfaces, and idiomatic patterns. Use for .go files.
Expert guidance for GraalVM native image development with Java frameworks, build optimization, and high-performance application deployment
Kubernetes operations including deployment, management, troubleshooting, kubectl mastery, and cluster stability. Covers K8s workloads, networking, storage, and debugging pods. Use when user mentions Kubernetes, K8s, kubectl, pods, deployments, services, ingress, ConfigMaps, Secrets, or cluster operations.
Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Arc clusters, Arc connectivity, IoT/OPC/ONVIF workloads, TPM/AI deployments, or gMSA, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
Architecture pattern for Lambda handlers. Env vars validated at module level, AWS clients at module scope, pure business logic with injected dependencies. Apply when creating or modifying any Lambda function.
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.
Deploys .NET containers. Kubernetes probes, Docker Compose for local dev, CI/CD integration.