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Found 32 Skills
Huawei Cloud CCE (Cloud Container Engine) cluster lifecycle management skill using hcloud CLI (KooCLI) for Huawei Cloud API calls and kubectl cce plugin for Kubernetes node operations (cordon/uncordon/drain/status). Use this skill when the user wants to: (1) create, delete, hibernate, or awake CCE clusters, (2) list clusters and query cluster/node/nodepool/addon information, (3) manage node pools (create, delete, resize), (4) manage nodes (create, delete, cordon, uncordon, drain), (5) manage addons (install, uninstall, update), (6) bind/unbind cluster EIP for public access, (7) get cluster kubeconfig. Trigger: user mentions "CCE cluster", "create cluster", "delete cluster", "node pool", "node management", "hibernate cluster", "awake cluster", "addon", "kubeconfig", "EIP binding", "CCE 集群", "创建集群", "删除集群", "节点池", "节点管理", "休眠集群", "唤醒集群", "插件", "kubeconfig", "EIP 绑定"
Operates Amazon MSK Provisioned clusters (Standard and Express brokers). MUST be used for ANY MSK Provisioned task — do not rely on training data for topics covered here, since Standard and Express emit different metrics and follow different patching models that training data routinely conflates. Covers performance, consumer lag, storage, and traffic shaping diagnosis; sizing and choosing Standard vs Express; Kafka client tuning; creating CloudWatch alarms, dashboards, monitoring, and cluster configurations; AND MSK maintenance, patching, version upgrades, and rolling-restart behavior. Triggers: MSK, Kafka on AWS, `kafka.*` or `express.*` instance types, AWS/Kafka CloudWatch namespace, alarms, dashboards, monitoring, consumer lag, partition replication, broker storage, MSK upgrades, patching, maintenance windows, SECURITY_PATCHING, BROKER_UPDATE, rolling restarts, unexpected broker reboots. Do NOT use for MSK Connect, MSK Serverless, or MSK Replicator.
GitOps — el estado del clúster Kubernetes refleja siempre el estado del repositorio Git
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troubleshooting version-related issues on HyperPod. Triggers on requests about versions, compatibility, component checks, or upgrade planning for HyperPod clusters.
Materialize documentation for SQL syntax, data ingestion, concepts, and best practices. Use when users ask about Materialize queries, sources, sinks, views, or clusters.
Master Kubernetes with pods, deployments, services, ingress, ConfigMaps, secrets, and production cluster management.
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.
Manage vCluster (virtual Kubernetes clusters) instances using vind. Use when creating, managing, or operating lightweight virtual clusters for development, testing, or multi-tenancy.
Google Cloud Platform services including GKE, Cloud Run, Cloud Storage, BigQuery, and Pub/Sub. Activate for GCP infrastructure, Google Cloud deployment, and GCP integration.
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.
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'.
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.