# kube-medic

> kube-medic — tkuehnl-kube-medic. Use this tool when you need to quickly diagnose and troubleshoot issues in your Kubernetes cluster, as it provides instant AI-powered incident triage via kubectl, solving problems related to cluster performance, node failures, and deployment errors, and accepts cluster logs and configuration as inputs to produce actionable insights and recommendations as outputs. It is ideal for use in production environments where rapid incident response is critical. This tool streamlines cluster troubleshooting, reducing downtime and improving overall system reliability.

Canonical page: https://skillsregistry.net/skills/tkuehnl-kube-medic  
JSON: https://api.skillsregistry.net/v1/skills/tkuehnl-kube-medic

## Description

Kubernetes Cluster Triage & Diagnostics — instant AI-powered incident triage via kubectl.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** cloud-infra
- **Updated:** 2026-09-17

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tkuehnl-kube-medic)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tkuehnl-kube-medic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tkuehnl-kube-medic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tkuehnl-kube-medic/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt