Can it help find the root cause of a 500 Internal Server Error?

Yes, it extracts the exception class, error message, and application-level stack trace to pinpoint exactly where the failure occurred in your business logic.

Does it work with large log files?

Yes, the skill employs smart reading strategies, such as analyzing the last 1000 lines for recent errors or using targeted grep commands for specific timestamps in files larger than 1MB.

Can it differentiate between my code and framework code?

Yes, its heuristic analysis identifies 'application frames' by filtering out paths containing vendor directories or framework internals, allowing you to focus on actionable code.

Which PHP frameworks does this skill support?

It provides native support for Laravel, Symfony, and any framework using PSR-3 or Monolog, as well as plain PHP error_log files and PHP-FPM slow logs.

PHP Log Analyzer

Name: PHP Log Analyzer
Author: dykyi-roman

bydykyi-roman

•

Analytics & Monitoring

Parses and analyzes PHP application logs across PSR-3, Monolog, Laravel, and Symfony formats to identify root causes and performance bottlenecks.

The PHP Log Analyzer is a specialized diagnostic skill for Claude Code designed to streamline debugging in modern PHP environments. It automatically detects and parses multiple log formats—including JSON Monolog, Laravel-specific logs, and PHP-FPM slow logs—to extract actionable insights such as stack traces, exception frequencies, and request contexts. By correlating related errors and filtering out vendor-specific noise, it helps developers quickly identify the root cause of failures, monitor error spikes, and optimize application performance without manual log parsing.

Key Features

01Intelligent error correlation based on time proximity, IDs, and causal chains

0245 GitHub stars

03Automated stack trace analysis that distinguishes between application and vendor code

04Extraction of request context including URLs, methods, user IDs, and correlation IDs

05Supports Monolog (JSON/Line), Laravel, Symfony, and PHP-FPM slow log formats

06Error frequency and trend analysis to detect sudden spikes in application failures

Use Cases

01Rapidly diagnosing production bugs by analyzing recent application exceptions

02Identifying performance bottlenecks using PHP-FPM slow logs

03Monitoring application health during deployments to detect error frequency spikes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dykyi-roman/awesome-claude-code analyze-php-logs

For use in Claude.ai and ChatGPT

Download Skill