This is a Scrum Master toolkit that treats agile facilitation like a data problem. You get Python scripts for Monte Carlo velocity forecasting, six-dimension sprint health scoring, retrospective pattern analysis, and capacity planning that accounts for ceremony overhead and focus factors. The velocity analyzer flags high-variance teams (CV over 30%) before you waste time on unreliable forecasts. It maps team behaviors to Tuckman stages and includes psychological safety frameworks, which is more useful than generic agile advice. Best for teams with at least three sprints of data, ideally six. The tooling is solid if you're tired of gut-feel sprint planning and want statistical confidence intervals backing your commitments.
npx skills add https://github.com/borghei/claude-skills --skill scrum-master