landing-forecast

Official

Forecast delivery with Monte Carlo accuracy.

AuthorSenzoStack
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Replaces gut-feel delivery estimates with probabilistic forecasts derived from historical throughput data, enabling data-driven planning.

Core Features & Use Cases

  • Monte Carlo-based delivery forecasting using historical sprint data
  • Tracker-agnostic analysis for Jira or Linear projects, epics, or releases
  • Generates a landing window with 50%, 70%, and 90% confidence dates to inform priorities and risk
  • Provides safeguards for sparse history and detects throughput variability to adjust confidence

Quick Start

Connect Jira or Linear, then ask for a landing forecast for your target epic or project.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: landing-forecast
Download link: https://github.com/SenzoStack/product-delivery-skills/archive/main.zip#landing-forecast

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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