A specialized database management system for construction professionals to track unit prices, vendor quotes, and location-based cost adjustments.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install unit-price-database-manager
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install unit-price-database-manager using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Unit Price Database Manager is a technical framework designed for construction estimators and project managers who need to maintain high-precision cost data. By leveraging Openclaw Skills, this tool automates the complexities of tracking labor, material, and equipment costs separately while maintaining a historical audit trail of price fluctuations. It serves as a single source of truth for competitive bidding and budget control.
Beyond simple storage, the skill implements sophisticated logic for geographic cost indexing. It allows users to store national average prices and automatically convert them into local market rates for cities like New York, San Francisco, or Houston. This ensures that every estimate generated through Openclaw Skills is grounded in localized, up-to-date market reality.
To integrate this functionality into your environment, install the required dependencies and initialize the manager. Use the following command to set up the environment:
pip install pandas
Once installed, you can utilize the UnitPriceDatabaseManager class to start managing your construction data within the Openclaw Skills ecosystem.
The skill organizes data using a structured schema to ensure consistency across large datasets:
| Data Object | Description | Key Attributes |
|---|---|---|
| UnitPrice | Core cost record | Code, description, unit, base_price, labor_cost, material_cost, equipment_cost |
| VendorQuote | Supplier pricing | Vendor_name, item_code, quoted_price, valid_until, quantity_break |
| PriceUpdate | Change history | Code, old_price, new_price, change_pct, updated_at, reason |
| LocationFactors | Geographic index | City name and its corresponding multiplier relative to national average |
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