davila7--claude-code-templates/cli-tool/components/commands/team/team-velocity-tracker.md

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allowed-tools: Read, Bash, Glob, Grep argument-hint: [analysis-period] | --sprint | --monthly | --quarterly | --trend-analysis description: Track and analyze team velocity with predictive forecasting and performance optimization recommendations

Team Velocity Tracker

Track team velocity patterns with predictive forecasting and performance optimization: $ARGUMENTS

Current Velocity Context

• Sprint velocity: !git log --oneline --since='2 weeks ago' | wc -l commits per current sprint
• Team consistency: Analysis of velocity stability across recent sprints
• Linear tracking: Sprint point completion rates and story delivery metrics
• Capacity factors: Team size changes, availability, and skill development impact

Task

Execute comprehensive velocity tracking with predictive analytics and optimization recommendations:

Analysis Period: Use $ARGUMENTS to focus on sprint velocity, monthly trends, quarterly patterns, or comprehensive trend analysis

Velocity Tracking Framework:

1. Historical Velocity Analysis - Extract sprint completion data, analyze story point delivery, calculate team throughput, identify performance patterns
2. Consistency Assessment - Measure velocity stability, identify variance patterns, assess predictability factors, evaluate planning accuracy
3. Capacity Correlation - Analyze team size impact, assess skill level effects, evaluate availability constraints, measure external factor influence
4. Predictive Forecasting - Generate velocity projections, predict sprint outcomes, estimate delivery timelines, calculate confidence intervals
5. Performance Optimization - Identify improvement opportunities, recommend capacity adjustments, suggest process enhancements, optimize team composition
6. Quality Integration - Correlate velocity with quality metrics, assess technical debt impact, evaluate sustainable pace, measure team satisfaction

Advanced Features: Monte Carlo forecasting, velocity trend decomposition, capacity planning optimization, performance anomaly detection, sustainable pace analysis.

Predictive Analytics: Sprint outcome predictions, delivery timeline forecasting, capacity requirement planning, performance trend analysis.

Output: Comprehensive velocity analysis with predictive forecasts, optimization recommendations, capacity planning insights, and sustainable performance strategies.