What is the scientific method in debugging?

It involves gathering hard evidence, forming falsifiable hypotheses about the cause, testing those hypotheses with minimal reproductions, and rigorously verifying the fix.

How does it handle different programming languages?

The skill includes a context scan that detects your project type—such as Python, Rust, or JavaScript—and loads domain-specific expertise to provide specialized guidance for that ecosystem.

When should I use the Expert Debugging skill?

Use it when standard troubleshooting steps fail or when you encounter complex, elusive issues that require a systematic investigation rather than a quick fix.

Why does it emphasize skepticism toward my own code?

Developers often have cognitive biases about how their own code 'should' work. This skill enforces objectivity to find implementation errors that your mental model might be overlooking.

Expert Debugging Mode

Name: Expert Debugging Mode
Author: Eric-Ness

byEric-Ness

开发者工具

Activates a methodical, senior-engineer-level debugging protocol using scientific investigation and rigorous evidence gathering.

关于

This skill transforms Claude into a senior debugging expert, moving beyond quick fixes to perform deep-dive root cause analysis. It implements a systematic protocol that includes evidence gathering, domain-specific context scanning (for iOS, Android, Rust, and more), hypothesis testing, and strict verification workflows. Designed for complex, persistent bugs where standard troubleshooting fails, it emphasizes objective skepticism—especially towards code you've written yourself—to eliminate cognitive bias and ensure robust, documented resolutions.

主要功能

Domain-specific expertise loading for specialized platforms like macOS, iOS, and Unity
Structured output format documenting evidence, root cause, and solutions
Methodical hypothesis testing and evidence-based verification
Automatic context scanning to detect project frameworks and languages
Anti-bias protocols to challenge assumptions in your own implementation
0 GitHub stars

使用场景

Resolving persistent bugs that remain after standard troubleshooting attempts
Systematically auditing and fixing logic errors in newly written production code
Debugging complex race conditions or state issues in specialized frameworks

关于

主要功能

Domain-specific expertise loading for specialized platforms like macOS, iOS, and Unity
Structured output format documenting evidence, root cause, and solutions
Methodical hypothesis testing and evidence-based verification
Automatic context scanning to detect project frameworks and languages
Anti-bias protocols to challenge assumptions in your own implementation
0 GitHub stars

使用场景

Resolving persistent bugs that remain after standard troubleshooting attempts
Systematically auditing and fixing logic errors in newly written production code
Debugging complex race conditions or state issues in specialized frameworks