scrum-master

Analyze sprint data with velocity, health, and retrospective analyses.

Updated Mar 16, 2026

Search Tags:#agile #forecasting #data-analysis #scrum #velocity #team-health #retrospectives

Ready to run

npx skills add https://github.com/javiertelioz/my-personal-marketplace --skill scrum-master-javiertelioz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scrum-master
Source: https://github.com/javiertelioz/my-personal-marketplace/tree/main/plugins/project-management/skills/scrum-master
Command: npx skills add https://github.com/javiertelioz/my-personal-marketplace --skill scrum-master-javiertelioz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables data-driven coaching for agile teams by combining sprint analytics, health scoring, and retrospective insights to guide evidence-based improvements.

Core Features & Use Cases

Velocity analysis: Monte Carlo forecasts and trend detection to inform sprint planning.
Sprint health scoring: Multi-dimensional health assessment across commitment, scope, blockers, ceremonies, and velocity.
Retrospective insights: Action-item tracking, recurring themes, and maturity progression to drive continuous improvement.

Quick Start

Run the analysis pipeline on a sprint_data.json file to generate velocity forecasts, health metrics, and retrospective insights.

Frequently Asked Questions about scrum-master

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I forecast sprint velocity using historical agile data?▼

Sprint velocity forecasting uses Monte Carlo simulations and trend detection on historical sprint data to project future completion rates. This Skill processes your sprint_data.json file to generate structured velocity forecasts for agile sprint planning.

What is sprint health scoring and how does it assess agile team performance?▼

Sprint health scoring evaluates agile team performance across multiple dimensions including commitment, scope changes, blockers, ceremonies, and velocity. It consumes sprint JSON data to produce a structured multi-dimensional health assessment for data-driven coaching.

How do I track retrospective action items and recurring themes across multiple sprints?▼

Retrospective analysis tracks action items, identifies recurring themes, and measures maturity progression across multiple sprints. It processes sprint JSON data to detect retrospective trends that drive continuous improvement in agile teams.

Can I use this Scrum analysis tool with data from Jira or other agile project management platforms?▼

The analysis pipeline requires sprint data formatted as JSON and does not include direct integrations with external platforms. You must export your agile project data into a compatible JSON structure before running the velocity, health, and retrospective scripts.

What data format is required to run agile sprint health and velocity analysis?▼

The analysis requires a JSON file containing sprint data to execute the velocity analyzer, health scorer, and retrospective analyzer scripts. It consumes this JSON input to produce structured outputs for velocity forecasting, health metrics, and retrospective insights.

Does Python need to be installed to run sprint data analysis and forecasting?▼

Python is required to execute the analysis scripts velocity_analyzer.py, sprint_health_scorer.py, and retrospective_analyzer.py. These scripts consume JSON sprint data and produce structured outputs for velocity, health scoring, and retrospective trend analysis.