How does it prevent 'shotgun debugging'?

By enforcing a structured 'Document Hypotheses' phase and a systematic 6-step workflow, it ensures that every change is evidence-based and tracked.

Can this help with production-level performance issues?

Yes, it includes specific guidance on using eBPF and the Linux perf tool for low-overhead monitoring and bottleneck identification in live environments.

Is it suitable for memory leak detection?

Yes, it provides specific workflows for memory profiling using Valgrind, massif, and language-specific memory profilers to find and fix leaks.

What makes this debugging skill unique?

It combines classic logical frameworks like Occam's Razor with modern, high-performance tools like eBPF for production-safe system tracing and analysis.

Does it support multiple programming languages?

Absolutely, it provides specialized debugging patterns and tool recommendations for Python, JavaScript, TypeScript, and Rust.

Debugging Methodology

Name: Debugging Methodology
Author: laurigates

bylaurigates

•

Security & Testing

Implements a systematic approach to diagnosing and resolving complex software bugs using advanced system tracing and memory analysis tools.

The Debugging Methodology skill equips Claude with a structured framework for troubleshooting software issues, ranging from simple logic errors to complex system-level performance bottlenecks. It integrates core debugging principles like Occam's Razor and Binary Search with modern diagnostic tools such as eBPF, Valgrind, and language-specific profilers. By providing a standardized workflow—Understand, Reproduce, Locate, Diagnose, Fix, and Verify—it ensures that developers can identify root causes efficiently while avoiding common anti-patterns like shotgun debugging.

Key Features

01Language-specific debugging patterns for Python, JS/TS, and Rust

02Systematic 6-step debugging workflow for consistent results

03Identification of common bug patterns and anti-pattern prevention

043 GitHub stars

05Modern eBPF tracing recommendations for production-safe diagnostics

06Memory and performance profiling integration using Valgrind and perf

Use Cases

01Diagnosing intermittent production issues using low-overhead eBPF tracing

02Systematically isolating race conditions and timing issues in async codebases

03Identifying memory leaks and heap corruption in C++ or Rust applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add laurigates/claude-plugins debugging-methodology

For use in Claude.ai and ChatGPT

Download Skill