job-costing-analyzer

Analyzing job costing data involves comparing actual project costs against budgeted estimates to identify overruns by trade or phase. This Skill automates that process by calculating earned value metrics and producing variance reports with trend analysis.

Project cost data needs to be in CSV or JSON format for budget variance analysis. The input file must contain specific fields including cost code, description, budget, committed, actual, and forecast to accurately identify cost overruns.

Calculating earned value metrics like CPI and SPI is done by comparing your budgeted, committed, and actual costs. This Skill automatically computes these indices from your CSV or JSON data to measure project cost performance.

Yes, you can use this for month-end project cost reporting and final cost forecasting. It compares budgeted amounts with committed and actual costs, identifies top overruns, and helps project managers control spending and forecast final costs.

The best way to generate a markdown variance report is to feed your project_costs.csv file directly into the Skill. It analyzes the data, identifies cost overruns, calculates earned value, and outputs an actionable markdown report detailing budget deviations.