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Found 32 Skills
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.
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level 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.
Manage multiple Kubernetes clusters, switch contexts, and perform cross-cluster operations. Use when working with multiple clusters, comparing environments, or managing cluster lifecycle.
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
Comprehensive Kubernetes and OpenShift cluster management skill covering operations, troubleshooting, manifest generation, security, and GitOps. Use this skill when: (1) Cluster operations: upgrades, backups, node management, scaling, monitoring setup (2) Troubleshooting: pod failures, networking issues, storage problems, performance analysis (3) Creating manifests: Deployments, StatefulSets, Services, Ingress, NetworkPolicies, RBAC (4) Security: audits, Pod Security Standards, RBAC, secrets management, vulnerability scanning (5) GitOps: ArgoCD, Flux, Kustomize, Helm, CI/CD pipelines, progressive delivery (6) OpenShift-specific: SCCs, Routes, Operators, Builds, ImageStreams (7) Multi-cloud: AKS, EKS, GKE, ARO, ROSA operations
Expert knowledge for Azure Service Fabric development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Service Fabric clusters, Reliable Actors/Collections, reverse proxy, remoting, or Azure-integrated apps, and other Azure Service Fabric related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service), Azure Container Apps (use azure-container-apps), Azure Red Hat OpenShift (use azure-redhat-openshift).
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.
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.
Manage the full lifecycle of Alibaba Cloud E-MapReduce (EMR) ECS clusters—creation, scaling, renewal, and status queries. Use this Skill when users want to set up big data clusters, view cluster status, add nodes, release nodes, configure auto-scaling, check cluster and node states, or diagnose creation failures. Also applicable for scenarios like "create a Hadoop cluster", "data lake cluster", "running out of resources", "check my cluster", "renew", etc. NOTE: This Skill does NOT support cluster deletion, release, or termination under any circumstances. Any request to delete or terminate a cluster will be refused and redirected to the EMR console.
Use when contributing to the GLIDE client - Rust core internals, language bindings (PyO3/JNI/NAPI/CGO/FFI), protocol layer, PubSub synchronizer, cluster topology, and build system. For using GLIDE in apps, see valkey-glide instead.