How does it help with debugging?

It automatically extracts errors with surrounding context (file and line numbers) and aggregates similar findings to help you identify the root cause of recurring issues.

Can Log Analyzer handle archived logs?

Yes, the skill is designed to process both local and archived logs to provide comprehensive historical analysis and insights.

What types of logs can it analyze?

It uses specific templates for session logs, test results, and build logs to provide the most relevant metrics, such as exit codes or pass/fail metrics, for each type.

Does it track development time?

Yes, it can parse session duration fields from schemas to calculate total time spent on specific issues, features, or refactoring tasks.

Log Analyzer

Name: Log Analyzer
Author: fractary

byfractary

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Analytics & Monitoring

Extracts actionable insights, patterns, and errors from operational logs using type-specific analysis templates.

About

Log Analyzer is a specialized tool for Claude that automates the tedious process of parsing and interpreting operational logs. By leveraging type-specific templates for builds, tests, and sessions, it provides high-level summaries and granular error extraction with precise source references. It helps developers identify recurring system issues, track development time across various task categories, and quickly understand historical session contexts, making it an essential companion for debugging, project auditing, and performance monitoring.

Key Features

Type-aware error extraction with source file and line references
2 GitHub stars
Automated time analysis categorized by feature, bug, or refactor
Detailed session summaries including key decisions and files modified
Frequency-based pattern detection to identify recurring system issues
Support for both local and archived log formats

Use Cases

Onboarding onto existing tasks by reviewing historical session decisions and encountered issues
Debugging complex production errors by identifying common patterns across multiple logs
Generating automated development summaries and time-tracking reports for project management

About

Key Features

Type-aware error extraction with source file and line references
2 GitHub stars
Automated time analysis categorized by feature, bug, or refactor
Detailed session summaries including key decisions and files modified
Frequency-based pattern detection to identify recurring system issues
Support for both local and archived log formats

Use Cases

Onboarding onto existing tasks by reviewing historical session decisions and encountered issues
Debugging complex production errors by identifying common patterns across multiple logs
Generating automated development summaries and time-tracking reports for project management