auto-troubleshooter

Analyze log files to diagnose system issues and document new problems.

26|5|Updated Feb 19, 2026

Search Tags:#automation #debugging #troubleshooting #logs #error analysis #system monitoring

Ready to run

npx skills add https://github.com/kunwl123456/zeroclaw-skills-collection --skill auto-troubleshooter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: auto-troubleshooter
Source: https://github.com/kunwl123456/zeroclaw-skills-collection/tree/main/auto-troubleshooter
Command: npx skills add https://github.com/kunwl123456/zeroclaw-skills-collection --skill auto-troubleshooter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dotenv, and includes scripts (resource) components.

What problem does it solve?

This Skill automatically identifies and suggests solutions for common system problems by analyzing log files and error patterns, reducing manual debugging time.

Core Features & Use Cases

Log Analysis: Scans wrapper_lifecycle.log and daily memory logs for errors.
Pattern Recognition: Normalizes errors into unique signatures to detect recurring issues.
Automated Documentation: Appends newly identified, undocumented issues to TROUBLESHOOTING.md.
Notification: Sends alerts for new issues via a messaging tool if available.
Use Case: When the system experiences unexpected crashes, this skill can automatically pinpoint the error in the logs, add it to a central troubleshooting document, and notify the development team.

Quick Start

Run the auto-troubleshooter skill to scan logs for new issues.

Frequently Asked Questions about auto-troubleshooter

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

FAQPage Schema

How do I automate troubleshooting and error analysis for system logs?▼

To automate troubleshooting, you can use a tool that scans log directories, normalizes error patterns into signatures, and appends undocumented issues to a central file. This reduces manual debugging time by automatically identifying problems in logs like wrapper_lifecycle.log.

What is the best way to detect recurring errors in daily memory logs?▼

Detecting recurring errors in daily memory logs is done by normalizing error messages into unique signatures. This pattern recognition mechanism identifies recurring issues by comparing new log entries against previously documented problems.

How does automated log analysis document new system crashes?▼

Automated log analysis documents new system crashes by scanning logs for errors, extracting unique signatures, and appending newly identified, undocumented issues directly to a central TROUBLESHOOTING.md file for future reference.

Can I send notifications for new issues detected during log scanning?▼

You can send notifications for new issues detected during log scanning if a messaging tool is available. The analysis process optionally integrates with a notification tool to alert the development team when new problems are found.

Do I need dotenv to run automated error pattern recognition?▼

Yes, dotenv is a required dependency to run this automated error pattern recognition. You need it installed in your environment to execute the scripts that scan log files and normalize error signatures.

Why are my normalized error signatures not matching existing troubleshooting entries?▼

Normalized error signatures may not match existing troubleshooting entries if the issue is newly identified and undocumented. The system is designed to append these unrecognized patterns to your central troubleshooting file for future matching.