Scrum Master Expert — Productivity

Scrum Master Expert is a data-driven skill that analyzes sprint data from Jira or similar tools using three Python scripts: velocity_analyzer.py for Monte Carlo forecasting, sprint_health_scorer.py for multi-dimensional health scoring, and retrospective_analyzer.py for action-item and theme tracking. It produces confidence-interval forecasts, health grade reports, and improvement-velocity trends to support agile coaching and team development.

project-management claude-code

📂 View skill on GitHub ↗ 🚀 How to use

✨ What it does

Runs Monte Carlo simulation to forecast velocity at 50/70/85/95% confidence intervals.
Scores team health across 6 weighted dimensions (commitment reliability, scope stability, blocker resolution, ceremony e
Tracks action-item completion rates, recurring themes, sentiment trends, and team maturity level.
Generates trend analysis (improving/stable/declining) and anomaly flags with root-cause suggestions.
Provides intervention priority matrix and stage-specific facilitation guidance.
Validates input data and prompts for additional sprints or missing fields when needed.

🎯 When to use it

When you need to analyze sprint velocity and forecast future capacity with confidence intervals.
When you want to assess team health across dimensions like commitment reliability and scope stability.
When you need to track retrospective action items and recurring themes to measure improvement.
When you are planning a sprint and need data-driven recommendations for commitment levels.
When you want to measure team maturity and guide interventions based on agile team dynamics.

🚀 How to use

Trigger the skill by asking for sprint analysis, velocity forecasting, health scoring, or retrospective insights. Provide a JSON file following the schema in assets/sample_sprint_data.json, typically exported from Jira. The skill runs Python scripts (velocity_analyzer.py, sprint_health_scorer.py, retrospective_analyzer.py) with commands like python velocity_analyzer.py sprint_data.json --format text. Example prompts:

Analyze our sprint velocity and forecast next sprint capacity.
Run a health check on our last 6 sprints and give recommendations.

📄 Output: The skill produces text or JSON reports including velocity trends, confidence-interval forecasts, health scores with grades, and retrospective analysis summaries.

📦 Add this skill to Claude Code

# 1. Get the skills repo
git clone --depth 1 https://github.com/alirezarezvani/claude-skills /tmp/claude-skills

# 2. Copy this skill into your project (or ~/.claude/skills for all projects)
mkdir -p .claude/skills
cp -r /tmp/claude-skills/project-management/skills/scrum-master .claude/skills/scrum-master

Skill source: project-management/skills/scrum-master/SKILL.md

⚠️ Good to know

Requires at least 3 sprints for velocity analysis (6+ recommended for statistical significance) and complete data for accurate scoring; recommendations must be interpreted with organizational context and qualitative observation.

❓ FAQ

What is the minimum number of sprints needed for velocity analysis?

Velocity analysis requires at least 3 sprints; otherwise the script stops and prompts for more data. 6+ sprints are recommended for statistically significant Monte Carlo results.

What does the sprint health scorer measure?

It scores team health across 6 weighted dimensions: commitment reliability, scope stability, blocker resolution, ceremony engagement, story completion distribution, and velocity predictability, producing an overall 0-100 grade.

How does the retrospective analyzer determine team maturity?

It tracks action-item completion, recurring themes, and sentiment trends to output a team maturity level (forming/storming/norming/performing) and improvement-velocity trend.

🤖 Overview, features, install steps and FAQ were generated from the project's SKILL.md on Sep 4, 2026. Always check the original source before running commands.