log-analyze

Analyze log files or stdin to identify errors, patterns, and anomalies.

11|Updated Apr 16, 2026

Search Tags:#performance #logs #patterns #errors #analyze #root-cause #anomalies

Ready to run

npx skills add https://github.com/berkcangumusisik/claude-code-practices --skill log-analyze-berkcangumusisik

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: log-analyze
Source: https://github.com/berkcangumusisik/claude-code-practices/tree/main/skills/log-analyze
Command: npx skills add https://github.com/berkcangumusisik/claude-code-practices --skill log-analyze-berkcangumusisik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes log output or a log file to find errors, patterns, and anomalies

Core Features & Use Cases

Errors & Exceptions: Identify stack traces, error codes, and recurring error patterns.
Performance Signals: Flag slow requests, timeouts, and resource warnings.
Anomalies: Detect spikes, unusual request patterns, and correlation with deployments.

Quick Start

Provide a log file path or stream logs to standard input and let the analysis produce a concise report.

Frequently Asked Questions about log-analyze

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

FAQPage Schema

How do I analyze application logs to find errors and anomalies?▼

Analyzing application logs for errors and anomalies involves providing a log file path or streaming logs to standard input. The tool identifies stack traces, error codes, and unusual patterns, outputting a concise investigation with actionable next steps.

What is the best way to perform root-cause analysis from system logs?▼

The best way to perform root-cause analysis from system logs is to analyze error patterns and timing correlations. This process detects spikes, flags slow requests, and correlates anomalies with recent deployments to pinpoint the underlying issue.

Can I detect performance issues like slow requests and timeouts in service logs?▼

Yes, you can detect performance issues like slow requests and timeouts in service logs. The analysis flags resource warnings and performance signals, helping you monitor application health and identify bottlenecks quickly.

Does this log analysis approach work with standard input streams?▼

Yes, this log analysis approach works with standard input streams. You can stream logs directly to standard input instead of providing a file path, and the tool will analyze error patterns and output a concise report.

How do I identify recurring error patterns in my application logs?▼

To identify recurring error patterns in application logs, run an analysis on your log file or input stream. The process scans for stack traces, error codes, and timing correlations to surface repeating issues and anomalies.