Can I compare logs from two different environments?

Yes, the 'diff' and 'compare' commands allow you to see unique events and shared field differences between two separate log files.

Does it support latency and performance tracking?

Yes, the 'perf' command identifies operations exceeding time thresholds and calculates latency statistics like P95 and P99 for different operation types.

How do I get started with a new log format?

You can use the 'generate-config' command to automatically infer parser hints and session levels from your existing logs to create a custom profile.

What log formats does the Log Analyzer support?

It is optimized for structured logs and can be customized via TOML profiles to support specific organizational log schemas and component hierarchies.

How does this skill help with very large log files?

It uses specialized commands like 'llm' and 'errors' to filter noise, cluster repetitive patterns, and extract only relevant data, preventing context window overflow.

Log Analyzer

Name: Log Analyzer
Author: eirenik0

byeirenik0

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Analytics & Monitoring

Analyzes, compares, and debugs structured logs to identify failures and performance bottlenecks using LLM-optimized tools.

The Log Analyzer skill provides a powerful suite of tools for inspecting structured logs directly within Claude. It enables developers to perform complex operations like diffing log files, clustering recurring error patterns, tracing session lifecycles, and extracting specific payload fields. Designed to be LLM-friendly, it transforms large, noisy log files into digestible formats, making it easier for Claude to help diagnose root causes, monitor performance latencies, and reconstruct operational timelines without manual searching or grepping.

Key Features

01Identify performance bottlenecks with p50/p95/p99 latency statistics.

02Compare log files to detect configuration changes or execution differences.

03Generate LLM-optimized log summaries for easier context processing.

04Cluster recurring ERROR/WARN patterns and assess session-level impact.

051 GitHub stars

06Trace specific operation or session lifecycles across multiple log files.

Use Cases

01Debugging failed test runs by identifying the first point of divergence between passing and failing logs.

02Investigating intermittent performance lags in distributed systems by profiling operation latencies.

03Reconstructing a specific user or request journey across rotated or split log files.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eirenik0/log-analyzer analyze-logs

For use in Claude.ai and ChatGPT

Download Skill