Agent skill · data analytics · datadrivenconstruction

cwicr-value-engineering

Perform value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.

Why this skill is useful

Provides domain-specific analysis methods and data handling for CWICR data 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 Value Engineering Business Case Problem Statement Projects often exceed budget: Where can costs be reduced? What alternatives exist? How to maintain quality? Document VE decisions Solution Systematic value engineering using CWICR data to identify cost-effective alternatives, analyze trade-offs, and document decisions. Business Value Cost savings - Identify reduction opportunities Quality maintenance - Function-based analysis Documentation - VE proposal records Client value - Optimize value for cost Technical Implementation Quick Start Common Use Cases 1. Identify VE Opportunities 2. Create VE Proposal 3. Generate VE Report Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.2 - Value Engineering

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills datadrivenconstruction/cwicr-value-engineering

View the source on GitHub

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