monte-carlo-duration-chart

Generate an 8-bar percentile histogram from forecast_monte_carlo duration data.

15|3|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/bbak/mcs-mcp --skill monte-carlo-duration-chart
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monte-carlo-duration-chart
Source: https://github.com/bbak/mcs-mcp/tree/main/docs/skills/Monte-Carlo-Duration-recharts
Command: npx skills add https://github.com/bbak/mcs-mcp --skill monte-carlo-duration-chart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Visualize Monte Carlo duration forecasts to quantify time-to-completion uncertainty using an 8-bar percentile histogram.

Core Features & Use Cases

  • Renders eight percentile bars (P10–P98) to illustrate expected delivery timelines.
  • Highlights the P85 SLE reference and provides date projections based on the current date.
  • Integrates with the mcs-charts-base UI primitives for consistent styling and interaction.

Quick Start

Use forecast_monte_carlo with mode: "duration" to generate the duration histogram and render it in the dashboard.

Frequently Asked Questions about monte-carlo-duration-chart

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

FAQPage Schema
How do I visualize Monte Carlo duration forecasts for project delivery?

Monte Carlo duration forecasts are visualized using an 8-bar percentile histogram that renders P10 through P98 bars to illustrate expected delivery timelines. The chart highlights the P85 Service Level Expectation reference and derives date projections from the current date.

What is the P85 Service Level Expectation reference in a duration histogram?

The P85 Service Level Expectation reference is a highlighted percentile bar within the Monte Carlo duration histogram that serves as the commitment threshold for delivery-date projections. It is rendered alongside other percentile details to quantify time-to-completion uncertainty.

How do I generate a Monte Carlo duration chart using Recharts?

To generate a Monte Carlo duration chart, you process forecast_monte_carlo data with mode set to duration and render it using Recharts. The skill implements a dedicated duration-chart workflow aligned with mcs-charts-base components to produce the 8-bar percentile histogram.

Can I use Monte Carlo simulation for backlog sizing and capacity assessment?

Monte Carlo duration forecasting applies directly to backlog sizing, capacity assessment, and delivery-date commitments. The histogram provides percentile-based date projections derived from today's date to support these planning tasks.

Does the Monte Carlo duration chart work with React and mcs-charts-base components?

The Monte Carlo duration chart integrates with React and mcs-charts-base UI primitives to render the percentile histogram. This integration ensures consistent styling and interaction across the forecast visualization components.

Why use an 8-bar percentile histogram instead of a single date forecast?

An 8-bar percentile histogram visualizes the full probability distribution of Monte Carlo duration forecasts from P10 to P98, exposing time-to-completion uncertainty. This reveals the range of expected delivery timelines rather than relying on a single misleading date.