landing-forecast
OfficialForecast 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 requiredComponents
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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