When is the best time to request a code review with this skill?

It is best used after completing any task in a subagent-driven workflow, after finishing a major feature, or as a final check before merging to your main branch.

Does this replace human code reviews?

While it provides a robust first line of defense and catches many common issues, it is designed to complement your existing workflow by catching errors before they reach human reviewers.

What happens if the AI reviewer provides incorrect feedback?

The skill documentation encourages developers to push back with technical reasoning or code evidence if the reviewer's assessment is technically inaccurate.

How does the skill identify which code to review?

The skill uses Git SHAs (BASE_SHA and HEAD_SHA) to define the specific range of commits or changes that the subagent needs to analyze.

Automated Code Reviewer

Name: Automated Code Reviewer
Author: NickCrew

byNickCrew

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Herramientas de Colaboración

Ensures code quality by dispatching a specialized subagent to audit implementations against requirements before merging or proceeding.

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The Automated Code Reviewer skill streamlines the quality assurance process by integrating a dedicated code-reviewer subagent into your Claude Code workflow. It enables developers to verify that their work meets specific project requirements by comparing current implementations against previous git SHAs. By identifying issues early—categorized by severity from Critical to Minor—this skill prevents technical debt from cascading, making it an essential tool for subagent-driven development and complex feature implementation.

Características Principales

Requirement-to-implementation verification logic
Git-based diff analysis using BASE and HEAD SHAs
Seamless integration with task-based development plans
Automated subagent dispatch for deep code auditing
7 GitHub stars
Prioritized feedback categorized by severity levels

Casos de Uso

Performing a final quality check before merging feature branches into main
Verifying individual tasks in a multi-step development plan to prevent compounding errors
Gaining a fresh technical perspective when stuck on complex bugs or refactoring

Acerca de

Características Principales

Requirement-to-implementation verification logic
Git-based diff analysis using BASE and HEAD SHAs
Seamless integration with task-based development plans
Automated subagent dispatch for deep code auditing
7 GitHub stars
Prioritized feedback categorized by severity levels

Casos de Uso

Performing a final quality check before merging feature branches into main
Verifying individual tasks in a multi-step development plan to prevent compounding errors
Gaining a fresh technical perspective when stuck on complex bugs or refactoring