intelligent-debugger

Analyze stack traces, logs, and performance data to identify root causes across frontend, API, and database layers.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/sitechfromgeorgia/georgian-distribution-system --skill intelligent-debugger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intelligent-debugger
Source: https://github.com/sitechfromgeorgia/georgian-distribution-system/tree/main/.claude/skills/intelligent-debugger
Command: npx skills add https://github.com/sitechfromgeorgia/georgian-distribution-system --skill intelligent-debugger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires psutil, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Intelligent Debugger provides a methodical, cross-stack debugging framework that helps developers reproduce issues, gather diagnostic data, identify root causes, and document fixes across frontend, API, and database layers.

Core Features & Use Cases

  • 7-step debugging process guiding reproduction, information gathering, system understanding, hypothesis testing, solution implementation, verification, and postmortem.
  • Cross-stack analysis that traces errors from the browser to the API and database, ensuring end-to-end visibility.
  • Automated tooling integration with scripts for log analysis, performance checks, and stack-trace explanations to accelerate root-cause investigations.
  • Pattern recognition and standardized debugging templates to produce transparent progress reports and learnings for teams.
  • Learnings and postmortems generation to prevent recurrence and improve future debugging efficiency.

Quick Start

  • ZIP this entire folder (intelligent-debugger)
  • In Claude Desktop: Settings → Capabilities → Upload Skill
  • Select the ZIP file
  • Enable the skill

Frequently Asked Questions about intelligent-debugger

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

FAQPage Schema
What is cross-stack root-cause analysis and how does it help with debugging web applications?

Cross-stack root-cause analysis systematically traces errors across frontend, API, and database layers. It ensures end-to-end visibility during debugging sessions, helping developers reproduce issues, identify underlying causes, and document fixes across modern web applications.

How do I debug stack traces and application logs systematically?

Debug stack traces and logs systematically using a 7-step process: reproduce the issue, gather diagnostic data, understand the system, test hypotheses, implement solutions, verify, and generate postmortems. Automated scripts for log analysis and stack-trace parsing accelerate this methodical investigation.

Can I use this debugging framework for performance investigations across API and database layers?

Yes, you can use this framework for performance investigations across API and database layers. It includes automated performance checking scripts that integrate with cross-stack analysis to identify bottlenecks and reveal root causes in modern web applications.

Do I need Python and specific dependencies to run these debugging scripts?

Yes, you need Python to run the debugging scripts. The framework relies on Python-based tooling and requires the psutil and requests dependencies to execute log analysis, performance checks, and stack-trace parsing scripts.

What's the best way to document debugging fixes and prevent recurring issues?

The best way to document debugging fixes is by generating postmortems and learnings. This framework applies pattern recognition and standardized debugging templates to produce transparent progress reports, preventing recurrence and improving future debugging efficiency for teams.