uipath-insights

Analyzes UiPath Orchestrator job data to produce performance metrics and failure diagnostics.

1|Updated Jul 24, 2026
One-click install
npx skills add https://github.com/viinearaujo/UiPathEngineeringMCP --skill uipath-insights
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uipath-insights
Source: https://github.com/viinearaujo/UiPathEngineeringMCP/tree/main/.agents/skills/uipath-insights
Command: npx skills add https://github.com/viinearaujo/UiPathEngineeringMCP --skill uipath-insights

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides deep visibility into automation health by aggregating job execution metrics, identifying failure patterns, and tracking process performance, removing the need for manual log inspection.

Core Features & Use Cases

  • Job Health Monitoring: Track success rates, processing times, and job counts across your entire automation fleet.
  • Failure Analysis: Automatically rank processes by failure frequency and categorize errors by reason to prioritize debugging efforts.
  • Trend Reporting: Visualize job completion timelines and identify stuck or long-running processes to optimize robot utilization.

Quick Start

Use the uipath-insights skill to generate a summary report of all job failures and their root causes from the last twenty-four hours.

Frequently Asked Questions about uipath-insights

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

FAQPage Schema
How do I monitor UiPath job execution metrics and success rates across my automation fleet?

Monitor UiPath job execution by analyzing Orchestrator data to track success rates, processing times, and job counts across your automation fleet. This removes the need for manual log inspection by aggregating performance metrics automatically.

What is the best way to analyze UiPath Orchestrator failure patterns and rank processes by error frequency?

Analyze UiPath Orchestrator failure patterns by ranking processes by failure frequency and categorizing errors by reason to prioritize debugging efforts. This approach automatically identifies failure patterns to provide deep visibility into automation health.

Can I track UiPath job completion timelines and identify stuck or long-running processes across different folders?

Track UiPath job completion timelines across different folders and machines to identify stuck or long-running processes. Visualizing these timelines helps optimize robot utilization by highlighting processes that require performance tuning.

Do I need the UiPath CLI to query aggregated job metrics and return structured JSON insights?

You need the UiPath CLI to query aggregated job metrics and return structured JSON insights for operational health assessment. The CLI queries Orchestrator execution data, which is then analyzed to provide performance metrics and failure diagnostics.

How do I generate a summary report of all UiPath job failures and their root causes from the last twenty-four hours?

Generate a summary report of UiPath job failures by analyzing the last twenty-four hours of Orchestrator job execution data. The skill categorizes errors by reason and ranks processes by failure frequency to highlight root causes automatically.