error-detective

Name: error-detective
Availability: InStock
Author: belokonm

Analyze distributed system errors to identify patterns, correlations, and root causes.

8|11|Updated Feb 15, 2026

Search Tags:#monitoring #analyze #root-cause-analysis #incident-management #log-correlation #distributed-errors

Ready to run

npx skills add https://github.com/belokonm/claude-supercode-skills --skill error-detective-belokonm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: error-detective
Source: https://github.com/belokonm/claude-supercode-skills/tree/main/error-detective-skill
Command: npx skills add https://github.com/belokonm/claude-supercode-skills --skill error-detective-belokonm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The error-detective skill analyzes distributed system errors to identify patterns, correlate failures across services, and determine root causes to enable proactive prevention and reliability improvements.

Core Features & Use Cases

Error Pattern Analysis across multiple services to identify frequent failure modes
Log Correlation and Distribution Tracing to map error propagation
Anomaly Detection and Cascaded Failure Prevention for proactive reliability
Impact assessment and incident preparedness for post-incident reviews

Quick Start

Provide your log data to start automated error pattern discovery and cross-service correlation.

Frequently Asked Questions about error-detective

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

FAQPage Schema

How do I analyze distributed system errors to find root causes across microservices?▼

You can correlate logs and traces across microservices by providing your distributed system data for automated error pattern discovery, which maps error propagation and maps cascaded failures across cloud-native architectures.

Can I use this for incident management and post-incident reviews in cloud-native architectures?▼

Yes, this supports incident management by generating actionable reports and alerts from correlated distributed logs, enabling impact assessment and incident preparedness for post-incident reviews in cloud-native architectures.

What data formats do I need for log correlation and distributed tracing?▼

Log correlation and distributed tracing require structured formats for your logs, traces, and metrics to accurately identify patterns, correlate failures, and map error propagation across services.

What's the best way to detect cascaded failures before they impact production reliability?▼

To detect cascaded failures, apply anomaly detection and log correlation to your distributed system metrics and traces, which identifies failure patterns proactively and prevents cascading reliability impacts.

How do I start automated error pattern discovery across multiple services?▼

You start automated error pattern discovery by providing your structured log data, which triggers cross-service correlation to identify frequent failure modes, map error propagation, and generate actionable reports.