Can I use this for bugs that require manual verification?

Yes, the skill supports a hybrid or manual mode where the AI guides you through the process and waits for your input on each commit's status.

Does this work with my existing test scripts?

Absolutely. You can provide existing test scripts which the skill will execute automatically at each step of the bisect process to determine commit health.

What happens once the breaking commit is found?

The skill automatically initiates a root cause analysis phase to explain why the specific changes in that commit caused the regression.

Is it safe to run on my repository?

Yes, it includes safety checks and utilizes isolated subagents for verification to ensure your primary working environment remains stable during the process.

How does this skill help with git bisect?

It automates the entire process of flagging 'good' and 'bad' commits, managing the checkout process, and running verification tests via subagents to find the source of a regression.

Git Bisect & Debugging Workflow

Name: Git Bisect & Debugging Workflow
Author: sjungling

bysjungling

•

Herramientas para Desarrolladores

Automates the identification of regression causes through systematic git bisect workflows and subagent-led verification.

Acerca de

The Git Bisect & Debugging Workflow skill streamlines the process of finding exactly when and why a codebase broke by orchestrating complex git bisect operations. It guides Claude through a structured four-phase process—Setup, Strategy Selection, Execution, and Analysis—using subagents to verify commits in isolation. Whether using automated test scripts, manual verification, or a hybrid approach, this skill ensures that historical bugs are pinpointed efficiently and analyzed for root cause resolution without manual Git overhead.

Características Principales

Structured 4-phase git bisect workflow for systematic regression hunting
Subagent architecture for isolated and reliable commit verification
Flexible verification strategies including automated, manual, and hybrid modes
Deep integration with systematic debugging for immediate root cause analysis
Real-time progress tracking and error handling using TodoWrite
7 GitHub stars

Casos de Uso

Locating the specific commit that introduced a performance regression or bug
Debugging historical issues where codebase behavior has changed over time
Automating the repetitive process of checking out and testing dozens of commits

Acerca de

Características Principales

Structured 4-phase git bisect workflow for systematic regression hunting
Subagent architecture for isolated and reliable commit verification
Flexible verification strategies including automated, manual, and hybrid modes
Deep integration with systematic debugging for immediate root cause analysis
Real-time progress tracking and error handling using TodoWrite
7 GitHub stars

Casos de Uso

Locating the specific commit that introduced a performance regression or bug
Debugging historical issues where codebase behavior has changed over time
Automating the repetitive process of checking out and testing dozens of commits