An AI-powered fleet management skill for querying machine data, logging maintenance, and tracking expenses via the FieldFix API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fieldfix
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fieldfix 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 fieldfix?
FieldFix is a specialized integration designed to bring heavy equipment management into the world of AI-driven automation. By utilizing this skill, developers and fleet managers can programmatically interact with their machinery data, ensuring that every excavator, skid steer, and tractor is accounted for within their digital workspace. The implementation of Openclaw Skills like this allows for a more responsive and data-informed approach to physical asset management.
This skill enables a seamless connection between the FieldFix platform and AI agents, providing a robust interface for monitoring machine health and financial performance. Whether you are managing a small fleet or an enterprise-level operation, incorporating this tool into your Openclaw Skills library streamlines the process of keeping equipment operational and profitable.
fieldfix Use Cases
- Monitoring fleet-wide health alerts and machine status in real-time.
- Automating the logging of service entries like oil changes and filter replacements.
- Tracking fuel and repair expenses to calculate total cost per hour for specific machines.
- Updating hour meters remotely to maintain accurate maintenance schedules.
How fieldfix Works
- The skill connects to the FieldFix API using a secure developer API key.
- Users issue commands through a CLI or AI agent interface to request specific fleet data.
- The backend scripts process these requests and fetch data from the FieldFix cloud endpoints.
- Write operations allow the agent to push new maintenance logs or expense reports directly to the fleet database.
- The integrated Openclaw Skills logic interprets the returned data to provide diagnostics or financial summaries to the user.
fieldfix Setup
To get started with this skill, follow these installation steps:
- Obtain your API key from the FieldFix Settings.
- Set the required environment variable in your terminal:
export FIELDFIX_API_KEY=ff_sk_live_your_key_here
- Ensure your environment has Node.js installed to run the provided fieldfix.js scripts.
fieldfix Data Schema & Taxonomy
The skill organizes fleet data into several key entities to provide a clear overview of operations through Openclaw Skills:
| Data Object | Description | Key Fields |
|---|---|---|
| Machines | Core equipment data | ID, Name, Hour Meter, Status |
| Expenses | Financial tracking | Machine ID, Category, Amount, Description |
| Service | Maintenance history | Task, Cost, Notes, Date |
| Alerts | Fleet notifications | Alert Type, Severity, Machine Reference |
fieldfix Advanced Features
- Support for AI-driven diagnostics to identify potential machine failures before they occur.
- Multi-machine expense aggregation for complex fleet-wide financial reporting.
- Direct integration with MCP servers for use within Claude Desktop via Openclaw Skills.
- Automated hour-meter threshold alerts for preventative maintenance planning.
SKILL.md
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