Analyze sprint data to generate team health scores and velocity forecasts.
npx skills add https://github.com/Nuwanda04/Ballen-Fisk --skill scrum-master-nuwanda04
Please help me install this Agent Skill. Skill: scrum-master Source: https://github.com/Nuwanda04/Ballen-Fisk/tree/main/.cursor/skills/scrum-master Command: npx skills add https://github.com/Nuwanda04/Ballen-Fisk --skill scrum-master-nuwanda04
This Skill empowers Scrum Masters and Agile Coaches to move beyond intuition by providing data-driven insights into team health, performance, and development, enabling proactive coaching and continuous improvement.
Analyze the sprint data provided in the attached file 'sprint_data.json' to generate a comprehensive health report.
High-intent search queries and answers about installing and using this skill.
You can analyze sprint data for team health and velocity by providing a file like 'sprint_data.json', which the Skill processes using Python scripts to compute commitment reliability, scope stability, and blocker resolution metrics for a comprehensive health report.
Data-driven retrospective intelligence analyzes retrospective feedback to identify recurring themes and tracks action item completion, enabling Scrum Masters to move beyond intuition and base continuous improvement on quantitative sprint data.
Yes, you can forecast agile team capacity using Python, as the Skill utilizes pandas, numpy, scipy, and scikit-learn to analyze historical velocity trends, predict future capacity, and identify anomalies in sprint performance.
Yes, this approach works for analyzing the last 10 sprints to improve backlog refinement by identifying consistently low scope stability and providing detailed metrics and recommendations to enhance your agile processes.
The best way to get a sprint health score across commitment reliability and scope stability is to run the Skill's deterministic Python scripts against your sprint data, which calculates a comprehensive score across key agile dimensions.
You need to format your sprint data as JSON, specifically using the attached 'sprint_data.json' file structure, to execute the deterministic Python scripts and generate the detailed performance analysis and health report.
amanhsnAnalyze sprint data to score team health and forecast velocity.
devCharuzuAnalyze sprint data to forecast velocity and generate health scores.
Fantasia1999Analyze sprint data with Python scripts for forecasting and health scoring.
tapanshahAnalyzes sprint velocity and team health using Python scripts and Monte Carlo simulations.
