Agile Metrics Calculator

SkillMonitoring & ops

Calculate and analyze Agile delivery metrics including velocity, burndown, and flow metrics

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Agile Metrics Calculator skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/project-management/skills/agile-metrics-calculator/SKILL.md and read by ahel’s review.

Overview

The Agile Metrics Calculator skill provides comprehensive calculation and analysis of Agile delivery metrics. It supports Scrum, Kanban, and hybrid methodologies with velocity tracking, burndown/burnup charts, flow metrics, and predictive forecasting using statistical methods.

Capabilities

Velocity Metrics

  • Calculate team velocity with running averages
  • Track velocity trends and stability
  • Compute velocity range (min, max, average)
  • Factor in team capacity changes
  • Calculate normalized velocity per team member

Burndown and Burnup Charts

  • Generate sprint burndown charts
  • Generate release burnup charts
  • Calculate ideal trendlines
  • Show scope change impact
  • Project completion dates

Flow Metrics (Kanban)

  • Calculate cycle time and lead time
  • Analyze throughput trends
  • Calculate flow efficiency
  • Generate cumulative flow diagrams (CFD)
  • Identify bottlenecks and blockers

Forecasting

  • Perform Monte Carlo forecasting
  • Calculate probability distributions for completion
  • Generate confidence intervals
  • Compute predictability metrics
  • Support "how many" and "when" forecasts

Usage

Input Requirements

  • Sprint/iteration data with story points
  • Work item history with state transitions
  • Team capacity information
  • Backlog with estimates
  • Optional: Historical velocity data

Output Deliverables

  • Velocity charts and statistics
  • Burndown/burnup visualizations
  • Flow metrics report (cycle time, throughput)
  • Cumulative flow diagram
  • Monte Carlo forecast with confidence levels

Example Use Cases

  1. Sprint Planning: Use velocity for capacity planning
  2. Release Planning: Forecast release dates with confidence
  3. Flow Optimization: Analyze CFD to identify bottlenecks
  4. Team Improvement: Track predictability trends

Process Integration

This skill integrates with the following processes:

  • agile-metrics-velocity.js
  • Sprint Planning and Backlog Refinement
  • Kanban Flow Optimization
  • Release Forecasting

Dependencies

  • Statistical analysis libraries
  • Time series analysis
  • Probability calculations
  • Visualization libraries

Related Skills

  • SK-010: Sprint Planning Calculator
  • SK-015: Retrospective Facilitator
  • SK-016: Kanban Board Analyzer

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
agile-metrics-calculator
Source
github.com/a5c-ai/babysitter