Erp Data Extractor

What This Skill Does

The ERP Data Extractor is a specialized OpenClaw agent skill designed to bridge the gap between complex construction ERP databases and actionable business intelligence. It provides a structured framework for interacting with heavy-duty construction software, allowing users to query, extract, and format project-critical data. By abstracting away the complexity of schema navigation and interconnected module dependencies, this skill enables seamless data retrieval for project management, financial monitoring, and operational reporting. Whether you are tracking budget variances, labor hours across job sites, or material procurement status, the tool serves as a reliable pipeline to normalize raw ERP output into clean data formats ready for downstream analytics or automated cross-system integration.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/datadrivenconstruction/erp-data-extractor

Use Cases

• Project Budgeting: Automate the retrieval of cost items vs. actual spending to generate real-time health reports for stakeholders.
• Procurement Optimization: Pull pending procurement transactions to identify potential material delivery delays before they impact the construction schedule.
• Cross-System Synchronization: Feed extracted payroll or HR data into third-party reporting platforms to calculate labor productivity metrics.
• Auditing and Compliance: Extract standardized historical project records to ensure documentation alignment with contract requirements.

Example Prompts

1. "OpenClaw, use the ERP Data Extractor to pull all active project phases for the 'North Tower' project and export them to a summary table."
2. "Compare the budgeted costs against actual expenditures for all procurement items added in the last 30 days and flag any items over budget."
3. "Extract current resource allocation data from the HR and Equipment modules and calculate the total daily burn rate for the current site."

Tips & Limitations

• Pre-defined Modules: Leverage the built-in ERPModule enum to quickly narrow your scope to specific data domains like 'cost' or 'subcontract'.
• Data Volume: For large-scale enterprise databases, consider implementing additional filtering in your queries to prevent memory overflow during extraction.
• Access Permissions: Ensure your ERP service account possesses read-only permissions for the tables you intend to access to maintain data integrity.
• Standardization: While this tool is built for construction ERPs, minor schema mapping may be required if your specific ERP implementation utilizes non-standard naming conventions.