Can it identify specific performance bottlenecks?

Yes, it specifically scans for requests exceeding latency thresholds and aggregates data to show you exactly where response times are lagging.

Does this tool require specific log directories?

By default, it looks for logs in the {baseDir}/logs/ directory, but it can be pointed to other locations with appropriate read permissions.

Does it support log rotation?

While the tool analyzes existing files, it provides best practice recommendations for configuring log rotation to ensure your analysis remains efficient and your disk space is managed.

What log formats can this tool analyze?

The tool is versatile and can analyze various formats, including standard plain-text logs and structured formats like JSON, using built-in Unix parsing utilities.

How do I start a log analysis with Claude?

You can trigger the skill by using natural language phrases like 'analyze logs for slow requests' or 'find error patterns in the last hour'.

Log Analysis Tool

Name: Log Analysis Tool
Author: BbgnsurfTech

byBbgnsurfTech

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분석 및 모니터링

Analyzes application logs to detect performance bottlenecks, recurring error patterns, and resource usage anomalies.

소개

The Log Analysis Tool is a specialized skill for Claude Code designed to automate the tedious process of manual log inspection. By leveraging powerful shell utilities like grep and awk, it empowers Claude to parse large volumes of log data to identify slow requests exceeding latency thresholds, group frequent exceptions, and detect resource exhaustion trends. This skill is invaluable for developers and DevOps engineers during post-mortems or real-time debugging, providing structured insights and actionable optimization recommendations to improve application reliability and performance.

주요 기능

Automated identification of slow requests and latency bottlenecks
Generation of comprehensive analysis reports with optimization suggestions
Resource usage monitoring and anomaly detection from log entries
3 GitHub stars
Intelligent grouping of recurring error patterns and exceptions
Support for parsing both structured (JSON) and unstructured log formats

사용 사례

Monitoring system health and request patterns following new deployments
Troubleshooting intermittent performance spikes in production environments
Identifying and prioritizing high-frequency application errors for bug fixing

소개

주요 기능

Automated identification of slow requests and latency bottlenecks
Generation of comprehensive analysis reports with optimization suggestions
Resource usage monitoring and anomaly detection from log entries
3 GitHub stars
Intelligent grouping of recurring error patterns and exceptions
Support for parsing both structured (JSON) and unstructured log formats

사용 사례

Monitoring system health and request patterns following new deployments
Troubleshooting intermittent performance spikes in production environments
Identifying and prioritizing high-frequency application errors for bug fixing