error-detective

Name: error-detective
Availability: InStock
Author: d0whc3r

Analyze logs and stack traces to identify root causes across distributed systems.

Updated Mar 21, 2026

Search Tags:#debugging #monitoring #root-cause #log-analysis #stack-trace #incident-response #error-detection

Ready to run

npx skills add https://github.com/d0whc3r/hackaton-cubepath --skill error-detective-d0whc3r

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: error-detective
Source: https://github.com/d0whc3r/hackaton-cubepath/tree/main/.agents/skills/error-detective
Command: npx skills add https://github.com/d0whc3r/hackaton-cubepath --skill error-detective-d0whc3r

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps engineers quickly identify root causes by analyzing logs, stack traces, and error patterns across distributed systems.

Core Features & Use Cases

Log parsing and error extraction using regex patterns
Cross-service stack trace correlation and anomaly detection
Root-cause hypothesis generation with evidence and remediation steps
Targeted monitoring queries and incident-resolution playbooks

Quick Start

Provide error symptoms or logs you want analyzed and I will generate a root-cause hypothesis with actionable steps.

Frequently Asked Questions about error-detective

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

FAQPage Schema

How do I find the root cause of errors across distributed system logs and traces?▼

Root-cause analysis for distributed system errors involves parsing logs and distributed traces to correlate cross-service stack traces. This generates a root-cause hypothesis with evidence and actionable remediation steps to resolve the incident.

What is the best way to correlate stack traces from different services during an incident?▼

Correlating cross-service stack traces requires applying cross-language stack trace analysis to identify anomaly patterns across distributed systems. This surfaces correlated events across your architecture to pinpoint the exact failure point.

Can I generate an incident response playbook from raw log data?▼

Yes, you can generate an incident response playbook from raw log data by extracting error symptoms and parsing log patterns. This analysis produces targeted monitoring queries and actionable resolution steps for your specific incident.

Does this error detection approach work with deployment-related anomalies?▼

Yes, this error detection approach works with deployment-related anomalies by correlating deployment events with cross-system failures. It analyzes error patterns and stack traces to determine if a recent deployment introduced the anomaly.

Why does my cross-system failure analysis not surface actionable fixes?▼

Cross-system failure analysis fails to surface actionable fixes when log parsing and trace correlation are not applied across all affected services. Generating a root-cause hypothesis requires extracting error patterns from both logs and distributed traces.