Manage multi-tier AI inference clusters for homelabs. Health monitoring, expert MoE routing,
automatic node recovery, and model deployment across Ollama and llama.cpp nodes. Covers GPU
memory planning, Docker volume strategies for large models, sequential startup patterns to
avoid CUDA deadlocks, and unified API gateways via LiteLLM.
Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.
1
Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.
2
Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.
3
Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.
I just installed the Homelab Cluster Management skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.
