Can this skill help with performance issues?

Yes, it includes specialized strategies for profiling, identifying common bottlenecks like N+1 queries, and using memory profilers to detect leaks.

Does it include configuration for IDE debuggers?

Yes, the skill provides specific configurations for VS Code's launch.json, as well as command-line tools like pdb for Python and Delve for Go.

How does it handle production-specific bugs?

It provides a framework for safe investigation, including evidence gathering from error trackers, local reproduction with anonymized data, and testing fixes via feature flags.

What is the 'Scientific Method' in debugging?

It is a 5-step process used by this skill: Observe the actual behavior, Hypothesize the cause, Experiment to test the theory, Analyze the results, and Repeat until the root cause is found.

Which programming languages does this skill support?

While the core methodologies apply to any language, the skill provides specific, ready-to-use debugging patterns and configurations for JavaScript, TypeScript, Python, and Go.

Advanced Debugging Strategies

Name: Advanced Debugging Strategies
Author: HermeticOrmus

byHermeticOrmus

セキュリティとテスト

Applies systematic diagnostic methodologies and profiling tools to identify and resolve complex software defects across any technology stack.

概要

This skill transforms the debugging process from disorganized guesswork into a structured, scientific workflow. It guides Claude to meticulously reproduce bugs, gather environmental data, form testable hypotheses, and utilize language-specific diagnostic tools for JavaScript, Python, and Go. Whether tackling elusive race conditions, memory leaks, or production performance bottlenecks, the skill provides a comprehensive framework for root cause analysis, differential debugging, and verified fixes to ensure long-term codebase stability.

主な機能

Memory leak detection and performance bottleneck identification
Implementation of the five-step scientific debugging method
0 GitHub stars
Language-specific profiling and debugger configurations for JS, Python, and Go
Specialized strategies for intermittent, flaky, and production-only bugs
Advanced binary search debugging using Git bisect and differential analysis

ユースケース

Performing root cause analysis on production crashes using stack traces and logs
Identifying and fixing memory leaks or CPU bottlenecks in high-scale applications
Isolating non-deterministic 'flaky' bugs in distributed systems or async code

概要

主な機能

Memory leak detection and performance bottleneck identification
Implementation of the five-step scientific debugging method
0 GitHub stars
Language-specific profiling and debugger configurations for JS, Python, and Go
Specialized strategies for intermittent, flaky, and production-only bugs
Advanced binary search debugging using Git bisect and differential analysis

ユースケース

Performing root cause analysis on production crashes using stack traces and logs
Identifying and fixing memory leaks or CPU bottlenecks in high-scale applications
Isolating non-deterministic 'flaky' bugs in distributed systems or async code