Agent skill · data analytics · datadrivenconstruction
cwicr-bid-analyzer
Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.
Why this skill is useful
Provides domain-specific analysis methods and pricing anomaly detection 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 Bid Analyzer Business Case Problem Statement Evaluating contractor bids requires: Comparing against market benchmarks Identifying unusual pricing Understanding cost composition Documenting evaluation rationale Solution Analyze contractor bids against CWICR-based benchmarks to identify anomalies, compare components, and support objective bid evaluation. Business Value Objective evaluation - Data-driven bid analysis Risk identification - Spot unrealistic pricing Fair comparison - Normalized bid analysis Documentation - Audit trail for decisions Technical Implementation Quick Start Common Use Cases 1. Detect Front-Loading 2. Compare Multiple Bids 3. Unbalanced Bid Detection 4. Export Report Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.1 - Bid Analysis and Evaluation
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-bid-analyzer