Agent skill · data analytics · datadrivenconstruction
cwicr-subcontractor
Analyze and compare subcontractor bids against CWICR benchmarks. Evaluate pricing, identify outliers, and support negotiation.
Why this skill is useful
Provides specific algorithms and data analysis techniques for evaluating subcontractor bids against CWICR benchmarks that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 4k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
CWICR Subcontractor Analyzer Business Case Problem Statement Evaluating subcontractor bids requires: Fair price benchmarks Bid comparison Outlier identification Negotiation support Solution Compare subcontractor bids against CWICR cost data to identify fair pricing, outliers, and negotiation opportunities. Business Value Fair evaluation - Objective benchmarks Cost savings - Identify overpriced bids Risk detection - Flag unrealistic low bids Negotiation support - Data-driven discussions Technical Implementation Quick Start Common Use Cases 1. Compare Multiple Bids 2. Negotiation Support 3. Export Report Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.2 - Subcontractor Management
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-subcontractor