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process-evolution-chart

Render a dark-themed Recharts scatterplot of monthly subgrouped cycle times with XmR analysis.

15|3|Updated Jan 24, 2026
Search Tags:#react#visualization#recharts#cycle-time#scatterplot#xmR#process-evolution
One-click install
npx skills add https://github.com/bbak/mcs-mcp --skill process-evolution-chart
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: process-evolution-chart
Source: https://github.com/bbak/mcs-mcp/tree/main/docs/skills/Strategic-Process-Evolution-recharts
Command: npx skills add https://github.com/bbak/mcs-mcp --skill process-evolution-chart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill produces a dark-themed Recharts scatterplot that exposes long-term changes in cycle time distributions by grouping historical cycle times into monthly subgroups and applying XmR analysis to subgroup averages, making process shifts, outliers, and subgroup-level trends visible and actionable.

Core Features & Use Cases

  • Renders a Three-Way Control Chart: jittered individual item scatter points per month and disconnected horizontal average bars for each monthly subgroup.
  • Highlights process shifts with shaded shift zones, flags points and bars above the UNPL, and draws X̄ and UNPL reference lines with proper color/dash semantics.
  • Supports a linear versus log scale toggle, allowDataOverflow for clipped renderings, custom AvgBarShape pairing logic, header stat cards and badges, legend groups, and a three-section footer for interpretation guidance.
  • Use case: analyze 60 months of cycle-time history to detect sustained process shifts, identify months with elevated averages, and surface outlier items that distort capacity planning.

Quick Start

Create a Strategic Process Evolution chart from analyze_process_evolution output for board 123 with a 60-month window.

Frequently Asked Questions about process-evolution-chart

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

FAQPage Schema
How do I visualize long-term cycle-time shifts using a scatterplot?▼

Monthly subgrouped cycle times are rendered as a dark-themed Recharts scatterplot to reveal process shifts, outliers, and subgroup averages. Jittered scatter points display individual items, while disconnected horizontal bars show monthly averages.

How does XmR analysis work for detecting process shifts in cycle time?▼

XmR analysis calculates subgroup averages and an upper natural process limit (UNPL) to detect sustained shifts. The chart highlights points and bars above the UNPL, draws X̄ and UNPL reference lines, and annotates shift zones.

Can I use Recharts to build a Three-Way Control Chart with log scale toggling?▼

Yes, Recharts supports rendering this Three-Way Control Chart with a linear versus log scale toggle and allowDataOverflow for clipped renderings. It includes custom AvgBarShape pairing logic for disconnected average bars.

What is the best way to chart 60 months of cycle-time history for outlier detection?▼

Grouping 60 months of cycle-time history into monthly subgroups exposes elevated averages and outlier items distorting capacity planning. The visualization surfaces jittered item placements and shift zone annotations.

Do I need analyze_process_evolution output to render the process evolution chart?▼

Yes, rendering requires analyze_process_evolution output containing evolution.subgroups and average_chart with mean, UNPL, and signals for monthly XmR analysis. This data drives the shift zones and reference lines.

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