Is it suitable for debugging a single crashing pod?

No, this skill is designed for high-level health overviews across many clusters. For deep-dives into specific workloads, you should use specialized debugging tools.

Can I use this with vanilla Kubernetes clusters?

Yes. While it optimizes for OpenShift by default, you can include standard Kubernetes clusters by specifying 'include all clusters' in your prompt.

Can this skill modify my cluster configuration?

No, this is a read-only reporting skill designed to collect and aggregate status data without making any destructive changes.

How does it handle clusters that are offline?

The skill performs a verification step at the start; unreachable clusters are identified and excluded from the report to prevent execution errors.

Does this skill require special permissions?

It requires a valid KUBECONFIG and sufficient RBAC permissions to list nodes, pods, and namespaces across the target clusters.

Multi-Cluster Health Reporter

Name: Multi-Cluster Health Reporter
Author: RHEcosystemAppEng

byRHEcosystemAppEng

•

分析与监控

Generates consolidated health and resource utilization reports across multiple OpenShift and Kubernetes clusters.

The Multi-Cluster Health Reporter provides a unified fleet-wide view of your infrastructure by aggregating critical metrics from multiple clusters into a single comparison report. It automatically discovers clusters via your KUBECONFIG, verifies OpenShift versions, and collects data on node resources (CPU, RAM, GPUs), project/namespace counts, and pod statuses. This skill is ideal for capacity planning, infrastructure audits, and high-level health monitoring without needing to manually switch contexts and run individual commands for every environment.

主要功能

01Real-time resource utilization aggregation (CPU, Memory, GPU)

025 GitHub stars

03Intelligent filtering for OpenShift vs. vanilla Kubernetes clusters

04Cross-cluster comparison of project and pod health statuses

05Automated multi-cluster discovery and environment verification

06Parallel data collection for high-performance reporting across large fleets

使用场景

01Performing a fleet-wide health check before scheduled maintenance windows

02Generating infrastructure summary reports for capacity planning and audits

03Comparing resource utilization across production, staging, and dev environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rhecosystemappeng/agentic-collections cluster-report

For use in Claude.ai and ChatGPT

主要功能

01Real-time resource utilization aggregation (CPU, Memory, GPU)

025 GitHub stars

03Intelligent filtering for OpenShift vs. vanilla Kubernetes clusters

04Cross-cluster comparison of project and pod health statuses

05Automated multi-cluster discovery and environment verification

06Parallel data collection for high-performance reporting across large fleets

使用场景

01Performing a fleet-wide health check before scheduled maintenance windows

02Generating infrastructure summary reports for capacity planning and audits

03Comparing resource utilization across production, staging, and dev environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rhecosystemappeng/agentic-collections cluster-report

For use in Claude.ai and ChatGPT