Agent skill · data analytics · datadrivenconstruction
schedule-forecaster
Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.
Why this skill is useful
Adds a machine learning model for predicting project completion dates, which provides capabilities beyond standard forecasting methods.
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
Schedule Forecaster for Construction Overview Predict project completion dates using machine learning models trained on historical data. Forecast delays based on current progress, weather patterns, resource availability, and project characteristics. Business Case Accurate schedule forecasting enables: Early Warning: Identify potential delays before they impact milestones Resource Planning: Adjust staffing based on predicted needs Client Communication: Provide reliable completion estimates Risk Management: Proactively address schedule risks 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/schedule-forecaster