Debugging Strategies & Root Cause Analysis

About

This skill transforms debugging from a manual, guesswork-driven process into a methodical, scientific practice within Claude. It provides structured frameworks for reproducing elusive bugs, gathering environment-specific data, and forming testable hypotheses. Featuring deep-dive guides for JavaScript, Python, and Go, plus advanced strategies like binary search debugging and memory leak detection, it empowers developers to resolve issues faster and more reliably while improving long-term code stability and performance.

Key Features

• 0 GitHub stars
• Language-specific debugging patterns for JS/TS, Python, and Go
• Advanced memory leak detection and performance profiling workflows
• Regression tracking using git bisect and differential debugging
• Minimal reproduction case checklists and diagnostic templates
• Scientific method framework for systematic bug hunting

Use Cases

• Analyzing and fixing memory leaks or application performance bottlenecks
• Investigating intermittent race conditions or flaky bugs in production
• Onboarding and understanding legacy codebases through execution tracing