Built for HR teams who want to move past headcount reporting into real workforce analytics. You get turnover prediction with flight risk scoring, pay equity regression templates, and a structured workflow that walks from stakeholder framing through validation and bias checks. The maturity model is helpful for setting expectations with leadership about what's actually possible given your data quality. Ships with Python code for RandomForest turnover models and segmentation analysis, plus formulas for the standard metrics like regrettable turnover and eNPS. Honestly most valuable for the analytical rigor it brings to squishy people questions, the privacy checkpoints are non-negotiable when you're working with employee data, and it forces you to separate statistical significance from business significance before making recommendations.
npx skills add https://github.com/borghei/claude-skills --skill people-analytics