# k8s-memory-tune

> Use this tool when you need to troubleshoot and optimize memory usage in Kubernetes (k8s) containers, solving problems like OOMKilled errors and JVM heap issues. It analyzes container memory limits and usage, providing insights to adjust memory settings and prevent crashes. Input includes container logs and memory metrics, outputting optimized memory configurations and recommendations.

Canonical page: https://skillsregistry.net/skills/2233admin-k8s-memory-tune  
JSON: https://api.skillsregistry.net/v1/skills/2233admin-k8s-memory-tune

## Description

**触发词**: oomkilled, memory_limit, jvm_heap, container_memory, k8s 内存.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** cloud-infra
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/2233admin-k8s-memory-tune)

## 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": "2233admin-k8s-memory-tune"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2233admin-k8s-memory-tune` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2233admin-k8s-memory-tune/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