Agent skill · data analytics · datadrivenconstruction
cwicr-historical-cost
Track and analyze historical cost data using CWICR. Compare actual vs estimated costs, build project cost database, and improve future estimates.
Why this skill is useful
Provides domain-specific knowledge for tracking and analyzing historical cost data with CWICR, including project cost summaries and variance calculations.
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 Historical Cost Tracker Business Case Problem Statement Improving estimates requires: Actual cost feedback Historical comparisons Trend analysis Lessons learned Solution Track actual costs against CWICR estimates, build historical database, and use data to improve future estimating accuracy. Business Value Accuracy improvement - Learn from actuals Benchmarking - Project comparisons Trend analysis - Cost movement patterns Organizational knowledge - Cost database Technical Implementation Quick Start Common Use Cases 1. Accuracy Analysis 2. Adjustment Factors 3. Work Item History Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.2 - Historical Cost Analysis
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-historical-cost