Agent skill · product strategy · datadrivenconstruction
cwicr-crew-optimizer
Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.
Why this skill is useful
Provides domain-specific algorithms and data structures for optimizing construction crew compositions based on labor norms and productivity metrics.
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 Crew Optimizer Business Case Problem Statement Crew planning challenges: Right mix of workers? Optimal crew size? Balance cost vs productivity? Match skills to work? Solution Optimize crew composition using CWICR labor productivity data to balance cost, output, and skill requirements. Business Value Optimal productivity - Right-sized crews Cost efficiency - No overstaffing Skill matching - Proper worker mix Schedule support - Meet deadlines Technical Implementation Quick Start Common Use Cases 1. Meet Schedule with Overtime 2. Compare Crews 3. Custom Crew Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.1 - Crew Productivity Analysis
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-crew-optimizer