Agent skill · data analytics · datadrivenconstruction
historical-cost-analyzer
Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.
Why this skill is useful
Provides domain-specific knowledge for analyzing historical construction costs and trends 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
Historical Cost Analyzer for Construction Overview Analyze historical construction cost data for benchmarking, escalation tracking, and estimating calibration. Compare similar projects, identify cost drivers, and improve future estimates. Business Case Historical cost analysis enables: Benchmarking: Compare current estimates to past projects Calibration: Improve estimating accuracy using actual data Trends: Track cost escalation and market changes Risk Assessment: Identify cost drivers and overrun patterns Technical Implementation Quick Start Dependencies
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/historical-cost-analyzer