Does it support memory leak detection?

Absolutely. It features a Memory Leak Detector that tracks process memory usage over specified iterations to identify growth patterns and potential circular references.

Is this skill limited to Python code?

While the built-in implementation patterns are optimized for Python, the systematic debugging strategies and logic can be applied to any programming language supported by Claude.

How does this skill help with root cause analysis?

It uses systematic techniques like the '5 Whys' and Error Tree Analysis to drill down from surface symptoms to the underlying architectural or logic source of a bug.

Can I use this for performance optimization?

Yes, it includes specialized tools for CPU profiling, line-by-line execution analysis, and execution time monitoring via integrated decorators.

Advanced Systematic Debugging

Name: Advanced Systematic Debugging
Author: eroslifestyle

byeroslifestyle

0•

Analytics & Monitoring

Automates root cause analysis, performance profiling, and memory leak detection to resolve complex software issues efficiently.

This skill provides a comprehensive suite of debugging tools for Claude, enabling systematic troubleshooting through stack trace analysis, execution path tracing, and real-world performance monitoring. It simplifies the resolution of elusive bugs by implementing industry-standard strategies like the '5 Whys' and Error Tree Analysis, alongside automated memory leak detection and CPU profiling. It is particularly useful for developers needing to identify bottlenecks, memory regressions, or intermittent logic errors in complex codebases by providing structured visualization and automated diagnostic workflows.

Key Features

010 GitHub stars

02Automated memory leak detection and RSS usage tracking

03Real-time performance profiling with CPU and line-by-line analysis

04Visual debug reporting and automated logging decorators

05Systematic root cause analysis using '5 Whys' and Error Tree techniques

06Comprehensive error execution path tracing and stack analysis

Use Cases

01Identifying performance bottlenecks in complex algorithms using cProfile and line profiling

02Diagnosing intermittent runtime errors in production logs via automated trace analysis

03Detecting memory regressions in long-running applications by monitoring resource trends

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eroslifestyle/claude-orchestrator-plugin debugging

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Automated memory leak detection and RSS usage tracking

03Real-time performance profiling with CPU and line-by-line analysis

04Visual debug reporting and automated logging decorators

05Systematic root cause analysis using '5 Whys' and Error Tree techniques

06Comprehensive error execution path tracing and stack analysis

Use Cases

01Identifying performance bottlenecks in complex algorithms using cProfile and line profiling

02Diagnosing intermittent runtime errors in production logs via automated trace analysis

03Detecting memory regressions in long-running applications by monitoring resource trends

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eroslifestyle/claude-orchestrator-plugin debugging

For use in Claude.ai and ChatGPT