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Process Manager Skill

Community
zeenie-ai
process-manager-skill

Start, stop, and manage long-running processes with full system PATH. Use for npm, python, node, dev servers, watchers, build tools. Destructive file commands blocked.

Overview

Publisherzeenie-ai
RepositoryOpenCompany
Skill nameprocess-manager-skill
Stars
995
Forks
151
Bundled files
Instructions only
LicenseMIT
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 zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Process Manager Skill 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/zeenie-ai/OpenCompany/tree/main/server/skills/terminal/process-manager-skill
  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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/terminal/process-manager-skill .claude/skills/process-manager-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Process Manager Skill 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 Manager Skill 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 Manager Skill 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 Manager Tool

Manage long-running processes with full system PATH access. Use this for anything that needs npm, python, node, or runs as a persistent server/watcher.

Security

The process manager blocks destructive file commands to prevent accidental deletion outside the agent's workspace. Use shell_execute for file operations instead (sandboxed, no PATH, confined to workspace).

Blocked commands: rm, rmdir, del, rd, Remove-Item, format, mkfs, dd, shred, chmod 777

Allowed: npm, python, node, pip, cargo, go, servers, build tools, installers

Operations

start

Launch a process. Output streams to the Terminal tab and is saved to log files.

json
{"operation": "start", "name": "dev-server", "command": "python -m http.server 8080"}

stop

Kill a process and its entire process tree.

json
{"operation": "stop", "name": "dev-server"}

restart

Stop then re-launch with the same command.

json
{"operation": "restart", "name": "dev-server"}

list

Show all running processes for this workflow.

json
{"operation": "list"}

get_output

Read output from a process's log file. Use tail to get last N lines, stream to choose stdout or stderr.

json
{"operation": "get_output", "name": "dev-server", "stream": "stdout", "tail": 20}

Returns {"lines": [...], "total": 150, "file": "/path/to/stdout.log"}.

send_input

Write text to a process's stdin (newline appended automatically).

json
{"operation": "send_input", "name": "dev-server", "text": "quit"}

Shell vs Process Manager

NeedToolWhy
ls, cat, find, grepshell_executeSandboxed, fast, no PATH
rm, mv, cp, file opsshell_executeSandboxed, confined to workspace
npm install, pip installprocess_managerNeeds PATH
python script.pyprocess_managerNeeds PATH
npm run dev, flask runprocess_managerLong-running, streams output
Dev servers, watchersprocess_managerPersistent, log files

Output Log Files

Each process writes to its own log files in the agent's workspace:

{workspace}/{agent_node_id}/.processes/{process_name}/
  stdout.log    # Standard output
  stderr.log    # Error output

Use get_output to read them selectively. The agent can also read these files directly with the file_read tool.

OS-Specific Commands

Commands differ by platform. Refer to:

  • bash-skill -- Linux/macOS (apt, brew, lsof, kill, curl)
  • powershell-skill -- Windows (Get-Process, Stop-Process, Invoke-WebRequest)
  • wsl-skill -- Running Linux tools on Windows (prefix with wsl)

Detect the OS first:

json
{"operation": "start", "name": "os", "command": "python -c \"import platform; print(platform.system())\""}

Returns Windows, Linux, or Darwin (macOS).

Guidelines

  • Always give processes a meaningful name so you can stop/check them later
  • Use get_output after starting to verify the process launched correctly
  • Use stop to clean up processes when done -- don't leave servers running
  • Do NOT use process_manager for file deletion -- use shell_execute instead
  • Processes are automatically killed when the server shuts down
  • Max concurrent processes: configurable in Settings (default: 10)
  • Output streams to the Terminal tab in real-time

Frequently asked questions

What does the Process Manager Skill AI skill do?

Start, stop, and manage long-running processes with full system PATH. Use for npm, python, node, dev servers, watchers, build tools. Destructive file commands blocked.

Why use Process Manager Skill on TypingMind?

Because you install it once and use it with any model. Process Manager Skill 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 Manager Skill in TypingMind?

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

Which AI models can use Process Manager Skill?

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 Manager Skill?

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

Is the Process Manager Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai under the MIT 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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