How does the skill handle missing or malformed data?

It features a built-in fail-safe that generates a specific 'termination' table in the report if required columns or inputs are missing, then exits gracefully.

Does this skill require specific environment configurations?

The skill executes via a PowerShell script, so it requires a PowerShell environment to run the underlying processing logic.

In what format is the KPI report delivered?

The output is generated as a formatted Markdown file saved at reports/weekly_kpi.md.

What input files are required for the kpi-dash skill?

The skill requires two CSV files located in the data directory: shipments.csv and events.csv.

What specific metrics are included in the generated report?

The report includes unique shipment counts, OTIF percentages, average dwell days, and DEM/DET risk flags.

3PL & WMS KPI Dashboard

Name: 3PL & WMS KPI Dashboard
Author: macho715

bymacho715

分析与监控

Generates automated weekly logistics KPI reports from shipment and event data files.

关于

The kpi-dash skill streamlines supply chain reporting by automatically processing 3PL and Warehouse Management System (WMS) data into actionable insights. By analyzing shipment and event CSV files, it calculates critical performance metrics such as On-Time In-Full (OTIF) percentages, average dwell days, and identifies high-risk demurrage or detention (DEM/DET) flags. This skill is ideal for logistics managers who need a consistent, automated way to monitor warehouse throughput and shipping efficiency directly within their development environment.

主要功能

Automated weekly KPI report generation for logistics operations
Robust fail-safe mechanism for missing data or column errors
Calculation of OTIF (On-Time In-Full) performance metrics
Analysis of average dwell days and shipment volume
Demurrage and Detention (DEM/DET) risk flag identification
0 GitHub stars

使用场景

Generating weekly performance summaries for third-party logistics providers
Proactively managing shipping costs by flagging detention and demurrage risks
Monitoring warehouse efficiency and identifying shipping bottlenecks

关于

主要功能

Automated weekly KPI report generation for logistics operations
Robust fail-safe mechanism for missing data or column errors
Calculation of OTIF (On-Time In-Full) performance metrics
Analysis of average dwell days and shipment volume
Demurrage and Detention (DEM/DET) risk flag identification
0 GitHub stars

使用场景

Generating weekly performance summaries for third-party logistics providers
Proactively managing shipping costs by flagging detention and demurrage risks
Monitoring warehouse efficiency and identifying shipping bottlenecks