Which programming languages are supported?

The Debugging Wizard is language-agnostic and provides expert guidance for all major languages including Python, JavaScript, Java, C++, Go, and Rust.

Does it provide the code to fix the bug?

Yes, after identifying the root cause, it provides specific code implementations to resolve the issue along with necessary regression tests.

Can it help with production-level log analysis?

Yes, the skill is specifically designed to parse complex log files and error reports to find the underlying cause of failures in production environments.

Can it handle performance issues?

Absolutely. It includes strategies for profiling, memory analysis, and identifying bottlenecks that cause slow performance or high resource consumption.

How does this skill improve the debugging process?

It enforces a senior-engineer workflow that focuses on reproduction and hypothesis testing, ensuring that fixes are based on evidence rather than trial and error.

Debugging Wizard

Name: Debugging Wizard
Author: franroa

byfranroa

Security & Testing

Applies a systematic, expert-level methodology to isolate and resolve complex software errors, crashes, and performance bottlenecks.

About

Debugging Wizard is a specialized Claude Code skill designed to act as a senior engineer with over 15 years of experience in troubleshooting software issues. It moves beyond guesswork by applying a rigorous scientific methodology—reproduction, isolation, hypothesis testing, and verification—to identify root causes across any programming language or framework. Whether you are dealing with cryptic stack traces, intermittent race conditions, or memory leaks, this skill provides structured analysis, evidence-based fixes, and regression testing strategies to ensure long-term codebase stability.

Key Features

Language-agnostic support for all major frameworks and environments
Expert-level interpretation of stack traces and log files
0 GitHub stars
Automated generation of regression tests to prevent bug recurrence
Identification of race conditions and memory leaks
Systematic root cause analysis and hypothesis testing

Use Cases

Analyzing production logs and distributed tracing to find errors
Investigating intermittent failures and hard-to-reproduce bugs
Isolating performance bottlenecks through profiling and data analysis

About

Key Features

Language-agnostic support for all major frameworks and environments
Expert-level interpretation of stack traces and log files
0 GitHub stars
Automated generation of regression tests to prevent bug recurrence
Identification of race conditions and memory leaks
Systematic root cause analysis and hypothesis testing

Use Cases

Analyzing production logs and distributed tracing to find errors
Investigating intermittent failures and hard-to-reproduce bugs
Isolating performance bottlenecks through profiling and data analysis