process-stability-chart

Create dark-themed cycle time scatterplots with XmR statistics and annotated signals.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts raw analyze_process_stability outputs into a publication-quality, dark-themed cycle time scatterplot so teams can quickly spot outliers, process shifts, and overall system health without manual chart assembly.

Core Features & Use Cases

  • Cycle Time Scatterplot with XmR: Plots individual completed-item cycle times by completion date with XmR mean and UNPL reference lines and annotated signals (outliers and shifts).
  • Stratified Views and Summaries: Toggle Overall/Story/Activity/Bug, show per-type XmR limits, Stability Index, expected P50, and mini-type scatterplots for comparative analysis.
  • Readable UI Elements: Includes SI-based status badges, outlier/shift count badges, stat cards, custom tooltips with Jira keys, and a manual legend optimized for a dark theme.
  • Use case: A delivery lead loads analyze_process_stability results to visually confirm whether a recent process change produced sustained improvement or introduced instability.

Quick Start

Generate a Process Stability chart using analyze_process_stability results for board_id 42 and project_key PROJ.

Frequently Asked Questions about process-stability-chart

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

FAQPage Schema
How do I visualize Jira cycle time stability with XmR charts?

It plots individual item cycle times by completion date in a dark-themed scatterplot, applying XmR mean and UNPL reference lines with annotated outliers and process shifts to reveal cycle time stability.

What is a cycle time scatterplot with XmR statistics used for?

It is used to monitor process health by plotting completion dates against individual cycle times, highlighting statistical outliers, process shifts, and expected P50 values for completed items.

Can I break down cycle time scatterplots by Jira issue type?

Yes, you can toggle Overall, Story, Activity, and Bug views to display per-issue-type XmR limits, Stability Index, expected P50, and mini-type scatterplots for comparative cycle time analysis.

Does the process stability chart require specific data inputs to render?

Yes, it requires scatterplot-ready data including completion dates, cycle times, XmR constants, stratified XmR limits, and signal indices from analyze_process_stability outputs for Recharts-compatible rendering.

How do I identify process shifts and outliers in cycle time data?

You identify them through annotated signals on the scatterplot, which apply XmR statistics to detect values beyond UNPL limits or sustained trends indicating shifts in cycle time performance.