pc-monitor-cn

name: pc-monitor-cn

3,891 stars
Complexity: easy

About this skill

This AI agent skill, `pc-monitor-cn`, offers real-time monitoring of critical system resources. It tracks CPU utilization, memory usage, available disk space, and current network activity. Designed for quick health checks, it helps users and AI agents understand the immediate performance posture of a system. By providing an an instant snapshot of resource consumption, it enables proactive identification of potential bottlenecks or unusual activity. The skill is particularly useful for developers debugging applications, system administrators needing quick diagnostics, or any user experiencing sluggish performance. It eliminates the need to open dedicated monitoring tools, allowing an AI agent to quickly fetch and report system health directly within a conversational workflow. It supports both a shell script and a Python version for flexibility.

Best use case

The primary use case is to perform quick system health checks and diagnose immediate performance issues. Developers, system administrators, and users running resource-intensive applications will benefit most by getting instant insights into their machine's operational status without switching contexts.

name: pc-monitor-cn

A clear, concise report detailing the current CPU usage, memory consumption, disk space utilization, and network activity of the system.

Practical example

Example input

Check my system's current resource usage.

Example output

CPU Usage: 35% (4 cores)
Memory Usage: 7.2GB / 16GB (45%)
Disk Usage (/): 150GB / 500GB (30%)
Network Activity: Tx: 5 MB/s, Rx: 2 MB/s

When to use this skill

  • To get a real-time overview of CPU, memory, disk, or network usage.
  • When diagnosing performance bottlenecks or unexpected system slowdowns.
  • Before running resource-intensive tasks to ensure sufficient capacity.
  • To quickly verify system health after software installations or updates.

When not to use this skill

  • When needing long-term historical data, trends, or advanced analytics.
  • For enterprise-grade monitoring systems with complex alerting and visualization needs.
  • If remote monitoring of multiple servers from a central dashboard is required.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/pc-monitor-cn/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1173910773/pc-monitor-cn/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/pc-monitor-cn/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How pc-monitor-cn Compares

Feature / Agentpc-monitor-cnStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityeasyN/A

Frequently Asked Questions

What does this skill do?

name: pc-monitor-cn

How difficult is it to install?

The installation complexity is rated as easy. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# pc-monitor-cn
name: pc-monitor-cn
version: 1.0.0

监控系统资源状态(CPU、内存、磁盘、网络)。

## 描述

提供系统资源的实时监控功能,包括:
- CPU 使用率
- 内存使用率
- 磁盘空间
- 网络状态

## 使用方式

```bash
# 查看所有系统状态
~/.openclaw/workspace/skills/system-monitor/scripts/monitor.sh

# 或者使用 Python 版本
~/.openclaw/workspace/skills/system-monitor/scripts/monitor.py
```

## 依赖

- Python 3.6+
- psutil (可选,用于更详细的监控)

## 配置

无特殊配置要求。

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