# homelab-cluster

> homelab-cluster — mlesnews-homelab-cluster. Use this tool when you need to manage and deploy AI models in a multi-tier inference cluster, solving scalability and resource utilization problems in homelab environments. It streamlines cluster setup and model deployment, taking in AI models and cluster configurations as inputs and outputting optimized inference workflows. Ideal for homelab owners and AI enthusiasts looking to efficiently run AI workloads in a localized setup.

Canonical page: https://skillsregistry.net/skills/mlesnews-homelab-cluster  
JSON: https://api.skillsregistry.net/v1/skills/mlesnews-homelab-cluster

## Description

Manage multi-tier AI inference clusters for homelabs.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/mlesnews-homelab-cluster)

## 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": "mlesnews-homelab-cluster"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mlesnews-homelab-cluster` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mlesnews-homelab-cluster/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