Zum Hauptinhalt springen
Dieser Inhalt ist noch nicht in Ihrer Sprache verfügbar und wird auf Englisch angezeigt.

Scrum Master Expert

Skill Verifiziert Aktiv
Teil von:Pm Skills

Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.

Zweck

To enable data-driven analysis and coaching for Scrum teams, providing insights into velocity, team health, and retrospective outcomes.

Funktionen

  • Velocity trend analysis and Monte Carlo forecasting
  • Sprint health scoring across key dimensions
  • Retrospective analysis for themes and action items
  • Automated data processing via Python scripts
  • Actionable recommendations for team improvement

Anwendungsfälle

  • Forecasting sprint and release completion based on historical velocity
  • Assessing team health and identifying areas for improvement
  • Analyzing retrospective feedback to track progress and recurring issues
  • Improving sprint planning and commitment accuracy
  • Providing data-driven insights to stakeholders

Nicht-Ziele

  • Replacing a dedicated project management tool
  • Providing real-time Jira data integration
  • Managing sprint backlogs or tasks directly
  • Acting as a generic data visualization tool

Praktiken

  • Data-driven analysis
  • Agile metrics
  • Team performance
  • Continuous improvement

Installation

Zuerst Marketplace hinzufügen

/plugin marketplace add alirezarezvani/claude-skills
/plugin install project-management@claude-code-skills

Qualitätspunktzahl

Verifiziert
100 /100
Analysiert about 24 hours ago

Vertrauenssignale

Letzter Commit1 day ago
Sterne14.6k
LizenzMIT
Status
Quellcode ansehen

Ähnliche Erweiterungen

Plan Sprint

99

Plan a sprint by refining backlog items, defining a sprint goal, calculating team capacity, selecting items, and decomposing them into tasks. Produces a SPRINT-PLAN.md with goal, selected items, task breakdown, and capacity allocation. Use when starting a new sprint in a Scrum or agile project, re-planning after significant scope change, transitioning from ad-hoc work to structured sprint cadence, or after backlog grooming when items are ready for inclusion.

Skill
pjt222

Sprint Plan

100

Plan a sprint with capacity estimation, story selection, dependency mapping, and risk identification. Use when preparing for sprint planning, estimating team capacity, selecting stories, or balancing sprint scope against velocity.

Skill
phuryn

Shape Up

100

Escape the build trap and endless backlogs. Use Basecamp's methodology to ship meaningful work in 6-week cycles with fixed time, variable scope. Use when: **Product planning** to replace endless backlogs; **Feature development** with clear time boundaries; **Team autonomy** when you want self-directed teams; **Scope management** when projects tend to balloon; **Startup development** with limited resources

Skill
guia-matthieu

Fit Drift Diffusion Model

100

Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision time), model comparison, and parameter recovery validation. Use when modeling binary decision-making with reaction time data, estimating cognitive parameters from experimental data, comparing sequential sampling model variants, or decomposing speed-accuracy tradeoff effects into latent cognitive components.

Skill
pjt222

Pipeline Forecasting

100

Generate predictive pipeline forecasts with confidence intervals and scenario modeling for revenue planning

Skill
guia-matthieu

TimesFM Forecasting

100

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

Skill
K-Dense-AI