Agent skill · data analytics · datadrivenconstruction
productivity-analyzer
Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.
Why this skill is useful
Provides domain-specific analysis methods and benchmarks for construction productivity 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
Productivity Analyzer Business Case Problem Statement Understanding productivity requires: Tracking actual output rates Comparing to planned rates Identifying problem areas Forecasting project completion Solution Analyze labor productivity data to identify trends, compare to benchmarks, and provide actionable insights. Technical Implementation Quick Start Common Use Cases 1. Identify Problems 2. Forecast Completion 3. Compare to Benchmarks Resources DDC Book: Chapter 4.1 - Productivity Management
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/productivity-analyzer