Visual Kubernetes console with AI assistant for multi-cluster ops
Skuber Client centralizes Kubernetes workflows with visual resource management, multi-cluster context switching, and an integrated natural-language assistant for cluster troubleshooting. Developed by Wondermove Co. Ltd., the tool runs on Windows desktops and connects to clusters via kubeconfig files. It shows real-time metrics, logs, and security scans while exposing Helm chart release histories, making it useful for DevOps engineers, SREs, and cloud architects who manage hybrid and public-cloud clusters.
What Skuber Client does for cluster operators
The client turns command-line tasks into a graphical workflow by exposing Pods, Deployments, Services, and Helm releases in a single interface. It supports multi-cluster management and context switching, and displays real-time monitoring data and event streams. The DAIVE AI assistant accepts natural-language instructions for troubleshooting and routine queries, so users can ask for cluster health checks or log patterns without composing complex kubectl commands.
How it interacts with your environment and system
The tool connects to clusters using standard kubeconfig files and an internet connection, which means it reads remote API servers and streams logs and metrics into the desktop session. Real-time monitoring and security scans run against the connected clusters rather than local disks. The client is available for Windows x64, and the app requires valid cluster credentials before it can display resources or apply changes.
Safety, security checks, and operational safeguards
Security scanning is built into the workflow through integrated Trivy and Kubescape scanners that run against container images and resource configurations. The client surfaces scan results alongside resource details and keeps Helm release histories for rollback context. Because the app executes operations against live clusters, users should verify kubeconfig scope and role permissions before applying automated optimizations.
Best for operators who want GUI control with AI assistance
The client suits DevOps engineers and cloud architects who manage multiple clusters and prefer a visual control plane plus an AI troubleshooting layer. It requires kubeconfig credentials and an internet connection, so use it from a secured workstation and verify role permissions before automated actions. Recommended.
