scrum-master

Forecasts velocity, scores sprint health, and analyzes retrospectives for Scrum teams.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/theandyalvarez7-ruby/claude-skills --skill scrum-master-theandyalvarez7-ruby
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scrum-master
Source: https://github.com/theandyalvarez7-ruby/claude-skills/tree/main/project-management/scrum-master
Command: npx skills add https://github.com/theandyalvarez7-ruby/claude-skills --skill scrum-master-theandyalvarez7-ruby

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Scrum teams struggle to make data-informed decisions about delivery and health, leading to suboptimal velocity and retro outcomes.

Core Features & Use Cases

  • Data-driven velocity forecasting, sprint health scoring, and retrospective analysis for agile teams.
  • Actionable recommendations and templates that drive continuous improvement.
  • Use Case: A Scrum Master uses this skill to forecast Sprint outcomes and highlight risks before planning.

Quick Start

Run a sprint health assessment on your team data to reveal opportunities for improvement.

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 agile data analysis?

Forecast sprint velocity by applying data-driven analysis to your team's historical agile metrics. This Skill analyzes sprint data to predict future outcomes, enabling Scrum Masters to estimate delivery speed and highlight potential risks before sprint planning begins.

What is sprint health scoring and how does it monitor agile team health?

Sprint health scoring evaluates agile team performance by analyzing metrics like velocity and delivery patterns. It generates a quantitative health score, helping teams monitor well-being, identify bottlenecks, and reveal opportunities for continuous improvement during retrospectives.

How do I run a data-driven retrospective analysis for my software engineering team?

Run a data-driven retrospective analysis by feeding sprint metrics into the retrospective analyzer to evaluate team performance. This process moves beyond subjective feedback, providing actionable recommendations and templates that guide agile teams toward continuous improvement.

Can I use this for product teams or is it limited to software engineering?

You can apply this across both software engineering and product teams. It provides data-driven Scrum mastery insights to forecast velocity, monitor health, and guide retrospectives, making it adaptable for any agile team seeking to improve delivery outcomes.

Do I need specific integrations or dependencies to analyze agile team velocity?

No specific integrations or dependencies are required to analyze agile team velocity. The Skill operates standalone using provided scripts and assets, allowing you to run a sprint health assessment on your team data immediately to reveal opportunities for improvement.

Why does my agile team struggle with data-informed delivery decisions?

Agile teams struggle with data-informed delivery decisions when lacking insights into velocity and health, leading to suboptimal outcomes. This Skill solves the problem by providing actionable recommendations, templates, and analytical tools to guide continuous improvement.