System Commander for Openclaw

A high-efficiency skill that prioritizes native Linux and Python commands over AI inference for file processing and data manipulation.

nelohenriq
v1.0.0
Mar 5, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install system-commander

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install system-commander using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is System Commander?

System Commander is a performance-oriented skill designed for the Openclaw Skills ecosystem. Its primary goal is to minimize AI inference costs by leveraging the native power of system-level tools. Instead of asking an LLM to reason through text or data, this skill identifies tasks that can be solved with bash one-liners, Python scripts, or standard Unix utilities. It embodies a System First, AI Last philosophy, ensuring that your agent operates with maximum speed and token efficiency.

By integrating System Commander into your Openclaw Skills library, you enable your AI agent to perform complex file operations, data extraction, and text manipulation using industry-standard tools like awk, sed, and grep. This approach not only provides faster results but also ensures high accuracy for deterministic tasks that do not require natural language understanding.

System Commander Use Cases

  • Extracting specific data like email addresses or IP addresses from large log files.
  • Performing batch file operations such as renaming, moving, or resizing.
  • Parsing and transforming structured data formats including JSON, CSV, and XML.
  • Monitoring system resources or counting occurrences of specific patterns in directories.
  • Automating repetitive text manipulation tasks using regex and stream editors.

How System Commander Works

  1. The user provides a task description related to file or data processing.
  2. System Commander analyzes the request to determine if it can be solved with a system-level command.
  3. The skill prioritizes pure Linux tools like awk, sed, and grep before moving to advanced utilities.
  4. If shell tools are insufficient, it generates a concise Python one-liner for complex logic.
  5. The skill returns a ready-to-use command, an explanation of its parameters, and the expected output format.

System Commander Setup

To maximize the utility of these Openclaw Skills, ensure your environment has the necessary utilities installed. Run the following command in your terminal:

# Install essential data and text processing tools
sudo apt-get update && sudo apt-get install jq csvkit parallel silversearcher-ag

No additional API keys are required as this skill utilizes local system resources and standard Python 3 environments.

System Commander Data Schema & Taxonomy

System Commander organizes its logic and output based on task categories and tool requirements to maintain clean Openclaw Skills standards.

Component Description
Task Type Categorized as File Operations, Data Processing, or Text Manipulation.
Tool Tier Hierarchical selection: Pure Linux -> Extended Tools -> Python One-liners.
Command Pattern Pre-defined templates for copy-paste ready bash executions.
Efficiency Rules Standards for using pipes over loops and batching operations for speed.

System Commander Advanced Features

  • Parallel processing support using GNU parallel to handle massive datasets across multiple CPU cores.
  • Token-optimized integration using built-in inclusion methods to prevent unnecessary AI re-generation of output.
  • Cross-skill orchestration allowing command results to serve as inputs for the agent-orchestrator.
  • Support for complex multi-line text transformation patterns using advanced sed and awk scripts.
  • Integrated dry-run safety patterns for file-destructive operations like batch renaming or mass deletions.

SKILL.md


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