How does the skill define what code to review?

It uses Git SHAs (Base and Head) to identify the specific commit range and changes that the subagent needs to analyze.

What happens if the AI reviewer provides incorrect feedback?

The workflow encourages developers to push back with technical reasoning, provide tests, or request clarification if the subagent's assessment is incorrect.

When is code review mandatory for this skill?

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

Does this skill work with monorepos?

Yes, it is designed to work within complex environments like the FlashFusion ecosystem monorepo to ensure consistency across multiple projects.

Automated Code Review Manager

Name: Automated Code Review Manager
Author: Krosebrook

byKrosebrook

•

Collaboration Tools

Facilitates professional-grade code reviews by dispatching specialized subagents to analyze changes and catch technical issues early.

About

The requesting-code-review skill automates the quality assurance process within the Claude Code environment by leveraging a dedicated code-reviewer subagent. It streamlines the peer-review process by using git SHAs to precisely define the scope of changes, providing structured feedback that categorizes issues into critical, important, and minor severities. This skill is essential for maintaining high code standards during subagent-driven development, ensuring that every task is verified against requirements before merging to the main branch.

Key Features

Automated subagent dispatch for technical code analysis
Seamless integration with subagent-driven development workflows
Precise diff targeting using git SHA integration
Support for iterative feedback loops and technical push-back
1 GitHub stars
Structured feedback categorization (Critical, Important, Minor)

Use Cases

Technical troubleshooting and fresh perspective on complex bug fixes
Mandatory quality gates after completing subagent-led tasks
Final verification of major features before merging to production

About

Key Features

Automated subagent dispatch for technical code analysis
Seamless integration with subagent-driven development workflows
Precise diff targeting using git SHA integration
Support for iterative feedback loops and technical push-back
1 GitHub stars
Structured feedback categorization (Critical, Important, Minor)

Use Cases

Technical troubleshooting and fresh perspective on complex bug fixes
Mandatory quality gates after completing subagent-led tasks
Final verification of major features before merging to production