What is the main benefit of the Requesting Code Review skill?

It enables a 'review early, review often' workflow by automating the inspection of code changes using an AI subagent, identifying issues before they cascade into larger problems.

How does the skill identify which code to review?

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

What should I do if the AI reviewer provides incorrect feedback?

You should push back with technical reasoning, provide code or tests that prove your implementation works, and request clarification to refine the subagent's understanding.

When is it mandatory to request a code review with this skill?

Review is mandatory after each task in subagent-driven development, after completing any major feature, and immediately before merging changes into the main branch.

Automated Code Review

Name: Automated Code Review
Author: araaking

byaraaking

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Collaboration Tools

Facilitates structured code reviews using AI subagents to identify technical issues and ensure quality standards before merging.

About

This skill integrates a specialized code-reviewer subagent into your Claude Code workflow to catch architectural flaws, bugs, and requirement mismatches early in the development cycle. By leveraging Git SHAs to compare specific commit ranges, it provides a rigorous assessment of new implementations, categorizing feedback into critical, important, and minor issues. This proactive approach ensures that technical debt is addressed immediately and that every feature meets its defined plan before it reaches the main codebase.

Key Features

Categorized issue reporting (Critical, Important, and Minor)
18 GitHub stars
Seamless integration with subagent-driven development cycles
Git-based diff comparison using BASE and HEAD commit SHAs
Structured review templates for consistent architectural evaluation
Automated subagent-driven code analysis and feedback

Use Cases

Gaining a fresh technical perspective when stuck on complex debugging or refactoring
Verifying task completion in subagent-driven development cycles
Reviewing major feature implementations before merging to main branches

About

Key Features

Categorized issue reporting (Critical, Important, and Minor)
18 GitHub stars
Seamless integration with subagent-driven development cycles
Git-based diff comparison using BASE and HEAD commit SHAs
Structured review templates for consistent architectural evaluation
Automated subagent-driven code analysis and feedback

Use Cases

Gaining a fresh technical perspective when stuck on complex debugging or refactoring
Verifying task completion in subagent-driven development cycles
Reviewing major feature implementations before merging to main branches