Which operators can this skill automatically detect?

The skill currently features specialized agents for ArgoCD, Crossplane, Cert-Manager, and Prometheus, in addition to core Kubernetes components.

How does this skill save AI tokens?

It utilizes local Python scripts to parse and condense verbose kubectl output into optimized JSON formats, preventing the AI from processing unnecessary raw text.

Does this skill modify my cluster resources?

No, the skill follows strict rules to use only read-only commands such as get, describe, and logs, ensuring no resources are modified during diagnostics.

What are the technical requirements to use this skill?

You need a configured kubectl context with cluster access, Python 3.11 or higher, and the 'uv' package runner installed on your system.

Kubernetes Cluster Health Diagnostics

Name: Kubernetes Cluster Health Diagnostics
Author: nodnarbnitram

bynodnarbnitram

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分析と監視

Performs automated, discovery-driven health assessments and troubleshooting for Kubernetes clusters and installed operators.

概要

This skill empowers Claude to perform deep, intelligent health checks on Kubernetes clusters by dynamically discovering installed APIs and operators. Instead of manual kubectl exploration, it automatically identifies and assesses core components and popular tools like ArgoCD, Crossplane, and Prometheus using specialized sub-agents. By aggregating findings into a unified report with a weighted scoring system, it provides a comprehensive overview of cluster stability while reducing token usage by up to 70% compared to raw command-line interrogation.

主な機能

Specialized health agents for ArgoCD, Crossplane, and Prometheus
Token-optimized scripts for condensed diagnostic output
1 GitHub stars
Dynamic API discovery for automated operator detection
Weighted health scoring (Healthy, Degraded, Critical)
Read-only execution safety for production environments

ユースケース

Routine cluster health assessments and automated sanity checks
Troubleshooting complex resource issues across multiple namespaces and operators
Validating cluster readiness and configuration after updates or migrations

概要

主な機能

Specialized health agents for ArgoCD, Crossplane, and Prometheus
Token-optimized scripts for condensed diagnostic output
1 GitHub stars
Dynamic API discovery for automated operator detection
Weighted health scoring (Healthy, Degraded, Critical)
Read-only execution safety for production environments

ユースケース

Routine cluster health assessments and automated sanity checks
Troubleshooting complex resource issues across multiple namespaces and operators
Validating cluster readiness and configuration after updates or migrations