cwicr-cost-calculator
Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/datadrivenconstruction/cwicr-cost-calculatorWhat This Skill Does
The cwicr-cost-calculator is a specialized OpenClaw agent skill designed to provide granular, transparent construction cost estimation using the DDC CWICR (Construction Work Item Costing & Resource) methodology. Unlike generic estimation tools that rely on opaque markups, this skill calculates costs by breaking down work items into distinct components: labor (hours and rates), materials (quantities and unit prices), and equipment usage. By leveraging a resource-based approach, it separates the physical norms of construction work from volatile market prices. This separation ensures that your estimates are not only accurate based on over 55,000 validated work items but also highly auditable and modular. When a material cost changes due to supply chain fluctuations, the system allows you to update the price without recalibrating the underlying labor or equipment norms, maintaining historical integrity and analytical precision throughout the project lifecycle.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/datadrivenconstruction/cwicr-cost-calculator
Ensure you have the necessary dependencies installed by running pip install pandas numpy in your target environment, as the skill utilizes these libraries for efficient dataframe handling and numerical computations.
Use Cases
This skill is indispensable for project managers, quantity surveyors, and construction estimators. It is ideal for:
- Creating detailed, itemized bids for client proposals that require high levels of transparency.
- Conducting cost-benefit analysis on different construction methods by comparing resource utilization.
- Generating audit-ready documentation for public or regulated projects where every cost component must be justified.
- Updating historical budget estimates against real-time market price adjustments for materials and labor rates.
Example Prompts
- "Calculate the total cost for 500 square feet of reinforced concrete flooring using the CWICR methodology, breaking down labor, equipment, and material costs."
- "Compare the labor cost difference between two different foundation types for the North Site project using the current CWICR resource database."
- "Generate a detailed cost breakdown report for the HVAC installation task, ensuring all overhead and profit percentages are clearly separated from direct costs."
Tips & Limitations
- Accuracy: Always ensure your input quantity data is precise, as the model's accuracy is directly proportional to the quality of the provided work item specifications.
- Pricing Updates: Periodically refresh your external pricing files to ensure that the unit price calculations reflect current market conditions.
- Complexity: This tool is intended for professional construction estimation; casual users may find the granular breakdown excessive for simple home-improvement DIY projects. Always review the generated
CostBreakdownstatus to identify anyMISSING_DATAalerts, which signify that specific resource parameters were not found in the validation database.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-datadrivenconstruction-cwicr-cost-calculator": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: code-execution
Related Skills
data-lineage-tracker
Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.
data-anomaly-detector
Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.
historical-cost-analyzer
Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.
df-merger
Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
dgn-to-excel
Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.