hardware-control

Manage power, cooling, and performance settings for multi-GPU and CPU systems.

Updated Jul 1, 2026
One-click install
npx skills add https://github.com/reverb256/hermes-skills --skill hardware-control-reverb256
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hardware-control
Source: https://github.com/reverb256/hermes-skills/tree/main/hardware-control
Command: npx skills add https://github.com/reverb256/hermes-skills --skill hardware-control-reverb256

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nvidia-smi, rocm-smi, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the management of GPU and CPU hardware for mining and AI workloads, offering control over fans, power limits, temperature, and more, ensuring optimal performance and resource allocation.

Core Features & Use Cases

  • Hardware Control: Adjust power limits, set fan speeds, check GPU status, and manage mining operations.
  • Workload Mode Switching: Toggle between mining and AI modes efficiently.
  • Monitoring: Keep track of temperatures, power usage, and hashrate.
  • Use Case: When the user needs to quickly check the status of their mining rig and adjust power settings or switch to AI work mode.

Quick Start

Use the hardware-control skill to check the GPU status on the 'zephyr' host.

Frequently Asked Questions about hardware-control

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage GPU power limits and fan speeds for mining workloads?

To manage GPU power limits and fan speeds for mining workloads, you can use this skill to adjust hardware settings, control cooling, and monitor temperature and hashrate across multi-GPU systems. It requires nvidia-smi or rocm-smi for GPU control.

Can I switch between cryptocurrency mining and AI workload modes on the same hardware?

Yes, you can switch between cryptocurrency mining and AI workload modes on the same hardware. The skill provides workload mode switching to efficiently toggle power, cooling, and performance settings for resource-intensive tasks.

Does GPU hardware control work with both NVIDIA and ROCm environments?

Yes, GPU hardware control works with both NVIDIA and ROCm environments. The skill requires nvidia-smi and rocm-smi dependencies to manage multi-GPU systems, check GPU status, and adjust power settings in high-performance computing environments.

What is the best way to monitor GPU temperature and power usage for high-performance computing?

The best way to monitor GPU temperature and power usage for high-performance computing is using this skill's monitoring features. It tracks temperatures, power usage, and hashrate, ensuring optimal performance and resource allocation for AI workloads and mining.

Do I need nvidia-smi installed to check my mining rig status and adjust settings?

Yes, you need nvidia-smi or rocm-smi installed to check your mining rig status and adjust settings. These dependencies are required for the skill to control GPU power limits, fan speeds, and manage mining operations effectively.

Why are my GPU hardware settings not applying when switching to AI mode?

Your GPU hardware settings may not apply when switching to AI mode if nvidia-smi or rocm-smi dependencies are missing or improperly configured. Ensure these services are running to enable control over power, cooling, and performance settings.