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log-analyzer

Parse log files to filter entries by level or keyword and generate statistics.

84|15|Updated Dec 31, 2025
Search Tags:#debugging#monitoring#troubleshooting#logs#analysis#errors
One-click install
npx skills add https://github.com/AIDotNet/MoYuCode --skill log-analyzer-aidotnet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: log-analyzer
Source: https://github.com/AIDotNet/MoYuCode/tree/main/skills/tools/log-analyzer
Command: npx skills add https://github.com/AIDotNet/MoYuCode --skill log-analyzer-aidotnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you quickly parse, analyze, and understand log files, making it easier to identify patterns, filter specific information, and pinpoint errors.

Core Features & Use Cases

  • Log Parsing: Understand the structure of log entries, extracting timestamps, levels, and messages.
  • Filtering & Searching: Narrow down logs by specific log levels (e.g., ERROR) or search for keywords using grep.
  • Statistics: Get an overview of log distribution by level.
  • Tail Mode: View the most recent log entries for real-time monitoring.
  • Use Case: When your application is crashing, use this Skill to analyze the app.log file, filter for ERROR messages, and search for keywords like "database connection" to quickly diagnose the issue.

Quick Start

Analyze the attached log file 'application.log' and show me all the ERROR messages.

Frequently Asked Questions about log-analyzer

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

FAQPage Schema
How do I filter log files to find specific error messages?▼

To filter log files for specific error messages, you can parse the logs and narrow down entries by log levels like ERROR, or search for specific keywords using grep to pinpoint issues.

What is the best way to analyze application log distribution by level?▼

Analyzing application log distribution by level involves parsing log entries to extract levels and generating statistics, providing a clear overview of how many INFO, WARN, or ERROR entries exist.

Can I monitor recent log entries in real-time for debugging?▼

You can monitor recent log entries in real-time for debugging by using a tail mode feature, which views the most recent log entries to help track application behavior and detect issues as they occur.

How do I parse log entries to extract timestamps and messages?▼

Parsing log entries to extract timestamps and messages requires scripts that understand the structure of log files, allowing you to systematically pull out when an event occurred and what the specific message was.

Does log analysis work without installing extra dependencies?▼

Log analysis works without installing extra dependencies because it relies on built-in Python scripts to process log data, identify critical information, and generate statistics directly from the files.

Why does my application crash without showing clear errors in the logs?▼

If an application crashes without clear errors, analyzing the log file to identify patterns and filtering for specific keywords like database connection can help diagnose hidden issues causing the failure.

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