Agile Metrics Calculator
SkillMonitoring & opsCalculate 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.
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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
- Sprint Planning: Use velocity for capacity planning
- Release Planning: Forecast release dates with confidence
- Flow Optimization: Analyze CFD to identify bottlenecks
- 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
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