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scrum-master

Analyze sprint exports to forecast velocity, score health, and review retrospectives.

Updated Apr 6, 2026
Search Tags:#data-analysis#scrum#team-health#retrospectives#sprint-analysis#velocity-forecasting#agile-coaching
One-click install
npx skills add https://github.com/duyle10xba1901/train-agent --skill scrum-master-duyle10xba1901
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scrum-master
Source: https://github.com/duyle10xba1901/train-agent/tree/main/project-management/scrum-master
Command: npx skills add https://github.com/duyle10xba1901/train-agent --skill scrum-master-duyle10xba1901

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Provides a data-driven Scrum Master workflow that translates sprint exports into actionable forecasts, health grades, and retrospective coaching guidance so teams can plan reliably and resolve blockers before they derail cadence.

Core Features & Use Cases

  • Monte Carlo velocity forecasting with scripts/velocity_analyzer.py surfaces confidence intervals for sprint commitments while highlighting volatility and anomalies to share with stakeholders.
  • Sprint health scoring via scripts/sprint_health_scorer.py aggregates commitment reliability, scope stability, blocker resolution, ceremony engagement, story completion, and predictability into a single grade, referencing assets/sample_sprint_data.json and templates for reporting.
  • Retrospective intelligence using scripts/retrospective_analyzer.py tracks action-item completion, recurring themes, and team maturity, supported by framework references (references/team-dynamics-framework.md) and facilitation formats (references/retro-formats.md).

Quick Start

Request sprint health coaching by sharing sprint_data.json and asking for velocity forecasts, health grades, and retrospective action 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 Jira sprint data?▼

Sprint health scoring aggregates commitment reliability, scope stability, blocker resolution, ceremony engagement, and predictability into a single grade. It references sample sprint data and reporting templates to track team performance.

How do I track action items and recurring themes from agile retrospectives?▼

Track retrospective action items by running the retrospective analyzer script against validated retrospective JSON payloads. It monitors action-item completion, recurring themes, and team maturity using facilitation formats and team dynamics frameworks.

Can I use this for sprint planning with volatile team velocity?▼

Yes, sprint planning with volatile velocity is supported. The Monte Carlo forecasting surfaces confidence intervals for commitments while highlighting anomalies, allowing teams to plan reliably despite fluctuations in historical sprint data.

What data format is needed to generate agile health insights and health grades?▼

Validated sprint and retrospective JSON payloads are required to generate agile health insights. You must provide sprint data exports covering planning, standups, reviews, and retrospectives to run the health scorer and analyzer scripts.

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