Which programming languages are supported?

While the core principles apply to any stack, the skill includes specialized patterns and configurations for JavaScript, TypeScript, Python, and Go.

What is 'Rubber Duck Debugging' in this context?

It is a technique where you explain the code and logic out loud to simplify the problem, which often reveals the bug by forcing a clear mental model of the execution.

Can it help with production-only bugs that don't happen locally?

Yes, it provides specific workflows for production investigation, including safe data usage, error tracking analysis, and evidence gathering from logs and metrics.

How does this skill improve the debugging process?

It replaces trial-and-error with a rigorous scientific framework consisting of reproduction, information gathering, hypothesis formation, and verification to ensure root causes are actually found.

Does it include tools for performance issues?

Absolutely. It covers performance profiling, flame graphs, and memory snapshot analysis to find bottlenecks and leaks systematically.

Debugging Strategies

Name: Debugging Strategies
Author: Microck

byMicrock

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110

보안 및 테스팅

Implements systematic debugging techniques and profiling tools to identify and resolve complex software bugs across any technology stack.

소개

This skill transforms software troubleshooting from frustrating guesswork into a methodical science by applying a disciplined framework to problem-solving. It equips Claude with advanced strategies for reproducing elusive bugs, gathering environmental data, forming testable hypotheses, and utilizing professional-grade tools like memory profilers and Git bisect. Whether you are dealing with performance bottlenecks, memory leaks, or intermittent production failures, this skill provides the systematic guidance needed to identify root causes and implement robust, permanent fixes.

주요 기능

Systematic four-phase debugging workflow: Reproduce, Gather, Hypothesize, and Test
Language-specific patterns for JavaScript, TypeScript, Python, and Go debugging
Performance profiling and memory leak detection strategies for high-load apps
110 GitHub stars
Advanced troubleshooting techniques including Binary Search and Differential Debugging
Checklists for investigating flaky bugs, race conditions, and production incidents

사용 사례

Methodically analyzing unfamiliar codebases to map execution flow and state changes
Troubleshooting elusive race conditions or intermittent 'flaky' bugs in distributed systems
Identifying and resolving memory leaks or CPU bottlenecks using profiling tools

소개

주요 기능

Systematic four-phase debugging workflow: Reproduce, Gather, Hypothesize, and Test
Language-specific patterns for JavaScript, TypeScript, Python, and Go debugging
Performance profiling and memory leak detection strategies for high-load apps
110 GitHub stars
Advanced troubleshooting techniques including Binary Search and Differential Debugging
Checklists for investigating flaky bugs, race conditions, and production incidents

사용 사례

Methodically analyzing unfamiliar codebases to map execution flow and state changes
Troubleshooting elusive race conditions or intermittent 'flaky' bugs in distributed systems
Identifying and resolving memory leaks or CPU bottlenecks using profiling tools