forecast-completion

Analyze velocity history and remaining work to forecast P50, P80, and P95 completion dates.

2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/yannmenec/delivery-management-skills --skill forecast-completion
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forecast-completion
Source: https://github.com/yannmenec/delivery-management-skills/tree/main/archive/v1/skills/planning/forecast-completion
Command: npx skills add https://github.com/yannmenec/delivery-management-skills --skill forecast-completion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Forecast sprint completion by analyzing velocity history and remaining work to produce probabilistic completion estimates.

Core Features & Use Cases

  • Velocity-based forecasts for sprint planning and PI planning.
  • Outputs P50, P80, and P95 completion estimates to guide dates.
  • Supports optional target_date to assess likelihood of meeting deadlines.

Quick Start

Input velocity_history and remaining_work, then run the forecast to obtain probabilistic completion dates.

Frequently Asked Questions about forecast-completion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast sprint completion dates using velocity history?

To forecast sprint completion, you input your velocity history and remaining work. The tool analyzes this data to produce probabilistic completion estimates, specifically P50, P80, and P95 dates for your planning needs.

What is a probabilistic forecast for PI planning?

A probabilistic forecast for PI planning estimates completion dates by analyzing velocity history and remaining work. It outputs P50, P80, and P95 confidence intervals to guide stakeholder commitments and deadlines.

Can I assess the likelihood of meeting a target date for a sprint?

Yes, you can assess meeting a target date by providing it as optional input alongside your velocity history and remaining work. The forecast evaluates your deadline likelihood using P50, P80, and P95 probabilistic estimates.

What data do I need to generate a sprint completion forecast?

You need velocity history and remaining work to generate a sprint completion forecast. You also need sprint length in days, and you can optionally provide a target date to assess deadline likelihood.

Does this forecasting approach work for date-driven stakeholder asks?

Yes, this approach works for date-driven stakeholder asks by generating probabilistic completion estimates. By analyzing velocity history and remaining work, it outputs P50, P80, and P95 dates to guide stakeholder communications.