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work-item-age-chart

Visualize WIP item aging and outliers from analyze_work_item_age data.

15|3|Updated Jan 24, 2026
Search Tags:#recharts#data-visualization#mcs-mcp#work-item-age-chart#wip aging#throughput-analysis
One-click install
npx skills add https://github.com/bbak/mcs-mcp --skill work-item-age-chart
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: work-item-age-chart
Source: https://github.com/bbak/mcs-mcp/tree/main/docs/skills/Work-Item-Age-recharts
Command: npx skills add https://github.com/bbak/mcs-mcp --skill work-item-age-chart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

WIP aging information is often hidden in raw data; this skill provides a focused, visual way to track aging, identify outliers, and drive proactive delivery decisions.

Core Features & Use Cases

  • WIP age chart per item showing age since commitment
  • Outlier detection using historical P85 threshold with color cues
  • Views: Age Ranking, By Status (stacked), By Type (stacked), plus an always-visible outlier table
  • Little's Law stability index to gauge system health

Quick Start

Trigger the work-item-age-chart analysis when analyze_work_item_age data is present, then select AGE RANKING to view per-item aging.

Frequently Asked Questions about work-item-age-chart

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

FAQPage Schema
How do I visualize WIP aging and identify outliers in Jira work items?▼

You can visualize WIP aging by analyzing work items from Jira-like pipelines in MCS-MCP, producing per-item aging by commitment date and an outlier table for quick triage. The chart uses a historical P85 threshold to flag aging risk with color cues.

What is a WIP aging chart and how does it quantify delivery risk?▼

A WIP aging chart tracks the age of work items since their commitment date to quantify aging risk. It applies a historical P85 threshold to identify outliers and uses Little's Law stability index to gauge overall system health for delivery planning.

Do I need analyze_work_item_age data to generate a work item age chart?▼

Yes, the visualization requires analyze_work_item_age outputs containing specific fields like age_since_commitment_days, age_in_current_status_days, percentile, and summary.p85_threshold_days to drive the visuals and thresholds.

Can I break down WIP aging by status and work item type?▼

Yes, you can view WIP aging using stacked chart views broken down by status and by type. These views accompany the Age Ranking view and an always-visible outlier table to inform proactive delivery decisions.

What is the best way to track throughput analysis and system stability for work items?▼

Tracking throughput analysis and system stability is best achieved by visualizing WIP aging with a Little's Law stability index. This approach identifies aging outliers using historical P85 thresholds to inform delivery planning.

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