skills.rest
Ermianr
ErmianrCOMMUNITY
Explore all skills by this author →
GitHub

analyze-logs

Analyze application log files to diagnose errors and slow requests.

Updated Aug 23, 2026
Search Tags:#performance#debugging#monitoring#logs#error analysis#application
One-click install
npx skills add https://github.com/Ermianr/meteor --skill analyze-logs-ermianr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-logs
Source: https://github.com/Ermianr/meteor/tree/main/.agents/skills/analyze-logs
Command: npx skills add https://github.com/Ermianr/meteor --skill analyze-logs-ermianr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers and DevOps teams analyze application logs to uncover errors, slow requests, and operational patterns, facilitating rapid debugging and performance tuning.

Core Features & Use Cases

  • Error Analysis: Identify recurring errors and understand failure points in the application.
  • Performance Monitoring: Detect slow requests and bottlenecks by analyzing request durations.
  • Behavior Insights: Review request patterns, error rates, and client-side issues for better system understanding.
  • Example: Use this Skill to parse the latest log files and get insights into recent errors or performance degradations.

Quick Start

Read the latest log files in .evlog/logs/ and ask the AI to find errors or slow requests in the recent application logs.

Frequently Asked Questions about analyze-logs

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

FAQPage Schema
How do I analyze application logs to diagnose slow requests and errors?▼

To analyze application logs, you can parse structured log data to identify recurring errors and detect slow requests. This process generates actionable insights and summaries that help software engineers debug production systems and monitor performance.

What is the best way to monitor application performance using log files?▼

Monitoring application performance via log files involves reviewing request durations and operational patterns to detect bottlenecks. This behavior insight reveals error rates and client-side issues, facilitating rapid debugging and performance tuning for DevOps teams.

Can I use this to troubleshoot production system errors from structured log data?▼

Yes, you can troubleshoot production system errors by providing structured log data. The analysis uncovers failure points, reviews request patterns, and helps developers understand operational behaviors to resolve client-side issues quickly.

How do I get started with finding recent errors in my application logs?▼

To get started finding recent errors, read the latest log files stored in the `.evlog/logs/` directory and ask the AI to find errors or slow requests. This quickly parses the recent application logs to uncover performance degradations.

Does this log analysis approach work for understanding client-side issues?▼

Yes, this log analysis approach works for understanding client-side issues by reviewing request patterns and error rates within the application logs. It provides detailed summaries of operational patterns to clarify client-side behaviors.

Related Skills

Explore More Software Engineering Skills→
balkhaevbalkhaev

analyze-logs

Analyze NDJSON application logs to identify errors and performance issues.

Community
Intermediate
billyfranklim1billyfranklim1

monitoring-alerting

Configure Grafana alerts and LogQL queries with Telegram notifications.

Community
Advanced
frankxaifrankxai
7

monitoring-observability

Implement structured logging, metrics, tracing, and alerting for production applications.

Community
Advanced
PostHogPostHog
58

error-tracking-nextjs

Integrate PostHog error tracking into Next.js App Router and Pages Router applications.

Official
Advanced