agentleFS
KubementatKubementat/ai_agent_skills/skills/list-most-intensive-processes/SKILL.md

list-most-intensive-processes

Skill2 starsChanged 8 months agoMITView on GitHub

Lists the top N most intensive processes running on the system based on CPU time and memory usage. Uses Python to gather process information from the operating system.

  • Installs packages

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when:

    line 10
  2. Distinctive:

    Read access to system process information

    line 36

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

List Most Intensive Processes

When to use this skill

Use this skill when:

  • The user wants to identify which processes are consuming the most CPU time and memory
  • You need to analyze system performance or find resource-hungry processes for optimization
  • A user requests to see top N processes by CPU and memory usage

How it works

This skill uses Python's psutil library to gather real-time process information from the operating system, including CPU percentage, memory usage, and process names. It then sorts processes by combined CPU + Memory scores to identify the most intensive ones.

Usage

To use this skill, provide:

  1. The number of top processes to return (N)
  2. Optional: A threshold for minimum resource usage (to filter out low-impact processes)

Example:

list-most-intensive-processes 10

This will list the 10 most intensive processes in terms of combined CPU and memory usage.

Requirements

  • Python 3.x installed on the system
  • psutil library (install with pip install psutil)
  • Read access to system process information

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.