Can this skill help with intermittent bugs?

Yes, it includes specific strategies for uncovering the conditions that trigger non-deterministic issues and warns against skipping the reproduction step.

Does it support regression testing?

The 'Verify' step is designed specifically to ensure the bug is gone and that the full test suite passes, while the 'Bisect' strategy helps locate regression-causing commits.

How does Systematic Debugging differ from standard AI debugging?

Standard AI often attempts to guess a fix based on code patterns. This skill enforces a rigorous methodology that requires reproduction and isolation before any code changes are made.

What is the 'Bisect Strategy' included in this skill?

It is a binary search method used to find which specific version of the code introduced a bug by testing the midpoint between a known working version and a broken one.

Systematic Debugging

Name: Systematic Debugging
Author: a-ariff

bya-ariff

安全与测试

Implements a rigorous five-step methodology to identify, isolate, and resolve software bugs without guesswork.

关于

Systematic Debugging provides a structured framework for Claude to handle complex troubleshooting by following a REPRODUCE → ISOLATE → TRACE → FIX → VERIFY workflow. By enforcing a 'never guess' policy, this skill ensures that time isn't wasted on red herrings or superficial symptom-fixing. It guides the AI through creating minimal reproduction cases, tracing values back to their origin, and validating solutions with failing tests, making it essential for maintaining code integrity and resolving regressions efficiently.

主要功能

Five-stage structured debugging workflow (REPRODUCE to VERIFY)
Integration with verification skills to ensure fixes don't cause regressions
0 GitHub stars
Minimal reproduction case isolation to eliminate red herrings
Bisect strategy for identifying the exact commit that introduced a bug
Root-cause tracing methodology to find the origin of bad values

使用场景

Resolving intermittent or 'hard to reproduce' production errors
Identifying the specific change that broke a feature using binary search
Fixing complex state corruption or race conditions in asynchronous logic

关于

主要功能

Five-stage structured debugging workflow (REPRODUCE to VERIFY)
Integration with verification skills to ensure fixes don't cause regressions
0 GitHub stars
Minimal reproduction case isolation to eliminate red herrings
Bisect strategy for identifying the exact commit that introduced a bug
Root-cause tracing methodology to find the origin of bad values

使用场景

Resolving intermittent or 'hard to reproduce' production errors
Identifying the specific change that broke a feature using binary search
Fixing complex state corruption or race conditions in asynchronous logic