Does this skill help with architectural issues?

Yes, it includes specific guidelines to recognize when a bug is a symptom of a larger architectural flaw, helping you decide between a patch and a refactor.

How does this skill improve debugging?

It forces a methodical process of gathering evidence and identifying the root cause before any code changes are made, preventing inefficient 'guess-and-check' workflows.

When should I use the Systematic Debugging skill?

Use it for persistent bugs, test failures, or performance issues where the source of the problem is not immediately obvious or when previous fix attempts have failed.

How does it handle fix verification?

It requires creating a reproduction test case before applying a fix, ensuring the root cause is understood and the solution is verified without breaking other features.

Systematic Debugging

Name: Systematic Debugging
Author: Light-Brands

byLight-Brands

安全与测试

Implements a rigorous root-cause-first approach to resolve bugs, test failures, and unexpected behaviors in code.

关于

The Systematic Debugging skill transforms Claude into a methodical problem-solver that prioritizes understanding the 'why' behind an error before proposing solutions. It enforces a structured workflow—from evidence gathering and data-flow tracing to hypothesis testing and architectural assessment—ensuring that fixes are surgical, verified by tests, and address the fundamental source of issues rather than just patching symptoms. This skill is particularly effective for complex regressions, performance bottlenecks, and elusive bugs where quick fixes have previously failed.

主要功能

Test-driven fix implementation for verified resolutions
Evidence-based diagnostics using error logs and stack traces
Hypothesis-driven testing to validate failure theories
0 GitHub stars
Root cause isolation through backwards data-flow tracing
Architectural pattern recognition for systemic code issues

使用场景

Debugging intermittent production errors through structured data-flow analysis
Identifying architectural flaws when multiple 'quick fixes' fail to solve a recurring issue
Resolving complex test failures that lack obvious causes

关于

主要功能

Test-driven fix implementation for verified resolutions
Evidence-based diagnostics using error logs and stack traces
Hypothesis-driven testing to validate failure theories
0 GitHub stars
Root cause isolation through backwards data-flow tracing
Architectural pattern recognition for systemic code issues

使用场景

Debugging intermittent production errors through structured data-flow analysis
Identifying architectural flaws when multiple 'quick fixes' fail to solve a recurring issue
Resolving complex test failures that lack obvious causes