error-monitor

Monitor application logs and stderr to detect errors, crashes, and exceptions.

5|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/JansenAnalytics/claudex --skill error-monitor-jansenanalytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error-monitor
Source: https://github.com/JansenAnalytics/claudex/tree/main/skills/error-monitor
Command: npx skills add https://github.com/JansenAnalytics/claudex --skill error-monitor-jansenanalytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Monitor application logs and stderr in real-time to detect errors, crashes, and exceptions, with auto-captured stack traces and proactive pattern alerts.

Core Features & Use Cases

  • Real-time log monitoring: watch application logs and stderr for new errors as they appear.
  • Auto-capture stack traces: collect and store stack traces for debugging.
  • Error pattern alerts: detect predefined patterns and raise timely alerts.
  • Error-rate tracking: compute error rates over time to identify spikes.
  • Use Case: Maintain production services with continuous visibility into failures and crashes.

Quick Start

Start error-monitor to watch your application logs and alert on new errors in real time.

Frequently Asked Questions about error-monitor

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

FAQPage Schema
How do I monitor application logs for errors and exceptions in real time?

Real-time error monitoring continuously watches your application logs and stderr to detect errors, crashes, and exceptions as they appear. It auto-captures stack traces to provide immediate visibility into production failures and testing pipelines.

Can I automatically capture stack traces when my application crashes?

Yes, automatic stack trace capture is a core feature of real-time error tracking. When a crash or exception is detected in your application logs, the monitoring process collects and stores the stack traces for debugging.

What is the best way to track error rates and detect new error patterns?

Tracking error rates involves computing the frequency of errors over time to identify sudden spikes. Error monitoring tools detect predefined patterns in application logs, raising timely alerts when new failures or anomalies emerge.

Does real-time log monitoring work for both production systems and testing pipelines?

Real-time log monitoring applies to production systems, testing pipelines, and active development environments. It provides continuous error detection and alerting across various stages of your application lifecycle.

How do I get alerts for new error patterns in my application logs?

Alerting on new error patterns is achieved by continuously watching application logs and matching them against predefined rules. When a new error or crash matches a pattern, the monitoring system raises a proactive alert.