Loading...
Loading...
Found 30 Skills
Materialize documentation for SQL syntax, data ingestion, concepts, and best practices. Use when users ask about Materialize queries, sources, sinks, views, or clusters.
Expert Kubernetes Specialist with deep expertise in container orchestration, cluster management, and cloud-native applications. Proficient in Kubernetes architecture, Helm charts, operators, and multi-cluster management across EKS, AKS, GKE, and on-premises deployments.
Provides comprehensive guidance for Kubernetes including pods, services, deployments, ingress, and cluster management. Use when the user asks about Kubernetes, needs to deploy applications to Kubernetes, configure Kubernetes resources, or manage Kubernetes clusters.
Manage multiple Kubernetes clusters, switch contexts, and perform cross-cluster operations. Use when working with multiple clusters, comparing environments, or managing cluster lifecycle.
Google Cloud Platform services including GKE, Cloud Run, Cloud Storage, BigQuery, and Pub/Sub. Activate for GCP infrastructure, Google Cloud deployment, and GCP integration.
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
Complete ArgoCD cluster bootstrapping skill for multi-repository GitOps environments. Use when provisioning new Kubernetes clusters, registering clusters with ArgoCD, configuring ApplicationSets, setting up cluster secrets, or troubleshooting cluster connectivity issues.
Manage Tencent Cloud TKE (Tencent Kubernetes Engine) clusters and workloads. Use when the user asks to: list clusters, check cluster / node health, list pods or services, scale a Deployment, do a rolling restart, fetch kubeconfig, view recent K8s events, manage node pools. Combines the official tencentcloud-sdk-python TKE client (cluster metadata) with kubectl for in-cluster operations.
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
Kubernetes container orchestration with Helm, operators, and service mesh. Use for cluster management.
Databricks CLI operations: auth, profiles, Unity Catalog, data exploration, jobs, pipelines, clusters, model serving, bundles and more. Contains up-to-date guidelines for all Databricks CLI tasks, useful for all Databricks-related tasks.
Use this skill whenever the user needs to manage VMs in VMware/vSphere/ESXi — it's the entry point for all VM operations. Directly handles: power on/off, clone, snapshot, migrate, deploy from OVA or templates, run commands inside VMs, batch operations, cluster management, and vCenter alarm acknowledgment. Always use this skill for any "power on", "clone", "deploy", "migrate", "batch", "guest exec", "alarm", or VM lifecycle task when the context is explicitly VMware, vSphere, or ESXi. Do NOT use for read-only queries (use vmware-monitor), NSX networking (use vmware-nsx), storage/iSCSI/vSAN (use vmware-storage), or Kubernetes cluster lifecycle (use vmware-vks). For multi-step workflows use vmware-pilot. For load balancing/AVI/AKO use vmware-avi.