Agent skill · data analytics · datadrivenconstruction
cwicr-location-factor
Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.
Why this skill is useful
Provides location-specific cost adjustment factors that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 5k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
CWICR Location Factor Business Case Problem Statement Construction costs vary by location: Labor rates differ by region Material prices vary geographically Market conditions affect costs Remote locations have premiums Solution Apply location-based cost factors to CWICR estimates, adjusting for regional differences in labor, materials, and overall market conditions. Business Value Regional accuracy - Location-specific estimates Market awareness - Current conditions Comparison support - Normalize across locations Planning - Multi-location projects Technical Implementation Quick Start Common Use Cases 1. Multi-Location Comparison 2. Adjust Estimate 3. Custom Location Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.1 - Location Cost Adjustments
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-location-factor