motor

What This Skill Does

The motor skill for OpenClaw is a robust command-line utility designed to streamline the specification, cataloging, and selection process for electrical motors. Whether you are an engineer working on robotics projects or a procurement specialist managing inventory, this tool provides a centralized hub to track motor metrics. It leverages a JSONL-based storage system that ensures your data is both human-readable and machine-parseable. By interacting with scripts/script.sh, users can add, remove, search, and export motor data, making it an essential component of any hardware development pipeline that requires precision and organization.

Installation

To integrate this utility into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/bytesagain1/motor

Once installed, ensure you have the necessary permissions to write to your home directory, as the skill defaults to storing data in ~/.motor/. If you need to change this location, you can utilize the internal config command: scripts/script.sh config MOTOR_DIR /path/to/your/custom/directory.

Use Cases

1. Hardware Engineering: Quickly catalog motor specifications like torque, RPM, voltage, and current draw during the prototyping phase to compare different hardware candidates.
2. Inventory Management: Maintain a searchable database of motors currently in stock or available in the workshop to avoid duplicate purchases.
3. Performance Analysis: Use the stats command to generate high-level insights regarding your current motor inventory, helping to identify gaps in power output or efficiency needs.

Example Prompts

• "OpenClaw, please add a new motor entry with 24V voltage, 5000 RPM, and 2Nm torque."
• "Search my motor database for any entries that have a torque greater than 1.5Nm and list them for me."
• "Export my entire current motor database to a file so I can share it with the engineering team."

Tips & Limitations

• Data Structure: Because the tool uses JSONL, be mindful that each entry must be a valid JSON object on its own line. Attempting to manually edit the file while the script is running may lead to data corruption.
• Performance: While excellent for mid-sized collections, searching through thousands of entries via command-line flags might show slight latency. Use the export functionality to perform deep analysis in third-party software like Excel or Pandas if your dataset grows exponentially.
• Exit Codes: Always verify the output of your commands; the tool is designed to return an exit code of 0 only when the operation is fully successful, allowing for reliable automation in shell scripts.