Does it support specific programming languages?

Yes, it includes tailored debugging configurations and patterns for JavaScript, TypeScript, Python, and Go, including debugger setup and logging best practices.

Can it help with memory leaks?

Absolutely. It includes techniques for memory leak detection using Chrome DevTools, Node.js heap snapshots, and automated leak detection in test suites.

What is the recommended process for a new bug?

The skill follows a four-phase approach: Reproduce the issue, Gather information, Form a hypothesis using the scientific method, and finally, Test and Verify the fix.

How does this skill help with production bugs?

It provides a structured checklist for gathering evidence, reproducing issues locally with anonymized data, and implementing safe investigation techniques like feature flags.

Does it include tools for performance optimization?

Yes, it covers profiling tools like cProfile for Python, Delve for Go, and the Performance tab in Browser DevTools to identify bottlenecks.

Debugging Strategies

Name: Debugging Strategies
Author: Microck

byMicrock

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Security & Testing

Master systematic debugging techniques and root cause analysis to efficiently resolve bugs across any codebase or tech stack.

About

This Claude Code skill transforms debugging from trial-and-error into a methodical, scientific process. It provides structured frameworks for reproducing elusive bugs, gathering environmental data, and forming testable hypotheses. With language-specific guidance for JavaScript, Python, and Go, plus advanced techniques like binary search debugging and memory leak detection, this skill empowers developers to isolate issues faster and implement permanent fixes rather than temporary patches. It is ideal for teams looking to reduce mean-time-to-resolution (MTTR) and improve code reliability.

Key Features

Comprehensive checklists for reproducing and documenting elusive bugs
Advanced root cause analysis and binary search techniques
Scientific method framework for systematic bug investigation
Performance profiling and memory leak detection strategies
81 GitHub stars
Language-specific debugging patterns for JavaScript, Python, and Go

Use Cases

Investigating intermittent 'flaky' bugs in production environments
Onboarding onto unfamiliar codebases by tracing execution flow and state
Profiling applications to resolve performance regressions and bottlenecks

About

Key Features

Comprehensive checklists for reproducing and documenting elusive bugs
Advanced root cause analysis and binary search techniques
Scientific method framework for systematic bug investigation
Performance profiling and memory leak detection strategies
81 GitHub stars
Language-specific debugging patterns for JavaScript, Python, and Go

Use Cases

Investigating intermittent 'flaky' bugs in production environments
Onboarding onto unfamiliar codebases by tracing execution flow and state
Profiling applications to resolve performance regressions and bottlenecks