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Process Management

Community
chaterm
process-management

Linux process management and control

Overview

Publisherchaterm
Repositoryterminal-skills
Skill nameprocess-management
Stars
59
Forks
12
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by chaterm on GitHub. Read the source before you install it.

Installation

Install the Process Management AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/chaterm/terminal-skills/tree/main/linux/process-management
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chaterm/terminal-skills.git /tmp/terminal-skills
mkdir -p .claude/skills
cp -r /tmp/terminal-skills/linux/process-management .claude/skills/process-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Process Management in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Process Management on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Process Management is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Process Management

Overview

Linux process viewing, signal handling, resource limiting and other management skills.

Process Viewing

ps Command

bash
# Common formats
ps aux                              # All process details
ps -ef                              # Full format
ps -eo pid,ppid,cmd,%mem,%cpu       # Custom columns

# Find specific process
ps aux | grep nginx
ps -C nginx                         # By command name

# Process tree
ps auxf
pstree
pstree -p                           # Show PID

top/htop

bash
# top interactive commands
top
# P - Sort by CPU
# M - Sort by memory
# k - Kill process
# q - Quit

# htop (more user-friendly)
htop

Other Tools

bash
# Sort by resource
ps aux --sort=-%cpu | head -10      # Highest CPU
ps aux --sort=-%mem | head -10      # Highest memory

# View process details
cat /proc/PID/status
cat /proc/PID/cmdline
ls -la /proc/PID/fd                 # Open file descriptors

Signal Handling

Common Signals

bash
# Signal list
kill -l

# Common signals
# SIGTERM (15) - Graceful termination (default)
# SIGKILL (9)  - Force termination
# SIGHUP (1)   - Reload configuration
# SIGSTOP (19) - Pause process
# SIGCONT (18) - Continue process

kill Command

bash
# Terminate process
kill PID                            # Send SIGTERM
kill -9 PID                         # Force terminate
kill -HUP PID                       # Reload config

# Terminate by name
pkill nginx
pkill -9 -f "python script.py"

# Terminate all processes of a user
pkill -u username

# killall
killall nginx
killall -9 nginx

Background Tasks

Job Control

bash
# Run in background
command &
nohup command &                     # Ignore hangup signal
nohup command > output.log 2>&1 &

# Job management
jobs                                # View jobs
fg %1                               # Foreground
bg %1                               # Background
Ctrl+Z                              # Pause current process

screen/tmux

bash
# screen
screen -S session_name              # Create session
screen -ls                          # List sessions
screen -r session_name              # Resume session
Ctrl+A D                            # Detach session

# tmux
tmux new -s session_name
tmux ls
tmux attach -t session_name
Ctrl+B D                            # Detach session

Resource Limits

ulimit

bash
# View limits
ulimit -a

# Set limits
ulimit -n 65535                     # Max file descriptors
ulimit -u 4096                      # Max processes
ulimit -v unlimited                 # Virtual memory

# Permanent settings /etc/security/limits.conf
# * soft nofile 65535
# * hard nofile 65535

cgroups

bash
# View cgroup
cat /proc/PID/cgroup

# Limit CPU (systemd)
systemctl set-property service.service CPUQuota=50%

# Limit memory
systemctl set-property service.service MemoryLimit=512M

Common Scenarios

Scenario 1: Find and Kill Zombie Processes

bash
# Find zombie processes
ps aux | awk '$8=="Z" {print}'

# Find parent process
ps -o ppid= -p ZOMBIE_PID

# Kill parent process
kill -9 PARENT_PID

Scenario 2: Find Process Using Port

bash
# Find process using port 80
lsof -i :80
ss -tlnp | grep :80
netstat -tlnp | grep :80

# Kill process
fuser -k 80/tcp

Scenario 3: Monitor Process Resources

bash
# Real-time monitor single process
top -p PID
watch -n 1 "ps -p PID -o %cpu,%mem,cmd"

# View files opened by process
lsof -p PID

Troubleshooting

ProblemSolution
Process unresponsivestrace -p PID to view system calls
CPU 100%top, perf top to analyze hotspots
Memory leakpmap -x PID, /proc/PID/smaps
Zombie processFind parent process, restart or kill parent
Process OOM killed`dmesg

Frequently asked questions

What does the Process Management AI skill do?

Linux process management and control

Why use Process Management on TypingMind?

Because you install it once and use it with any model. Process Management is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Process Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chaterm/terminal-skills/tree/main/linux/process-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Process Management?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Process Management?

As many as you like. As long as a model supports skills, you can use Process Management with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Process Management AI skill free?

Yes. It is published on GitHub by chaterm under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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