Individual skill

monitoring-error-rates

Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like "monitor error rates", "track application errors", or "analyze error patterns".

plugins/performance/error-rate-monitor/skills/monitoring-error-rates/SKILL.md

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Last checked: Nov 12, 2026

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Repository stars (not skill ratings): 2,917
Repository last updated: Nov 12, 2026
License: MIT

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ai Repository topic
automation Repository topic
claude-code Repository topic
devops Repository topic
mcp Repository topic
ai-agents Repository topic
anthropic Repository topic
claude-code-plugins Repository topic
developer-tools Repository topic
llm Repository topic
performance Declared skill tag
database Declared skill tag
monitoring Declared skill tag
data Derived category
data-databases Derived category

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SKILL.mdcore · 4,704 bytes
assets/README.mddoc · 57 bytes
references/README.mddoc · 61 bytes
scripts/README.mddoc · 456 bytes
scripts/analyze_errors.pyruns · 4,781 bytes
scripts/generate_error_report.pyruns · 3,681 bytes

Read excerpt

# Error Rate Monitor

Monitor and analyze application error rates across HTTP endpoints, database queries, external APIs, and background jobs with threshold-based alerting and error budget tracking.

## Overview

This skill automates the process of setting up comprehensive error monitoring and alerting for various components of an application. It helps identify, track, and analyze different types of errors, enabling proactive identification and resolution of issues before they impact users.

## How It Works

1. **Analyze Error Sources**: Identifies potential error sources within the application architecture, including HTTP endpoints, database queries, external APIs, background jobs, and client-side code.
2. **Define Monitoring Criteria**: Establishes specific error types and thresholds for each source, such as HTTP status codes (4xx, 5xx), exception types, query timeouts, and API response failures.
3. **Configure Alerting**: Sets up alerts to trigger when error rates exceed defined thresholds, notifying relevant teams or individuals for investigation and remediation.

## When to Use This Skill