Can I use this skill if I am stuck on a problem?

Yes, requesting a review when stuck provides a fresh perspective and can help identify baseline issues before you proceed with a refactor.

How should I handle the feedback provided by the AI reviewer?

Feedback is prioritized: Critical and Important issues should be fixed immediately, while Minor issues can be noted for later or addressed if time permits.

When should I use this skill?

It is mandatory after completing major features or individual tasks in subagent-driven development, and highly recommended before merging to the main branch.

What is the primary purpose of the requesting-code-review skill?

It automates the process of requesting an AI-driven code review to catch bugs, architectural issues, and requirement mismatches before code is merged.

How does the skill identify which code to review?

The skill uses Git commit SHAs (Base and Head) to define the specific range of changes the code-reviewer subagent should analyze.

AI Code Review Orchestrator

Name: AI Code Review Orchestrator
Author: abudhahir

byabudhahir

Collaboration Tools

Automates structured code review requests via specialized subagents to identify bugs and architectural issues before merging.

About

The requesting-code-review skill streamlines the software development lifecycle by dispatching a dedicated code-reviewer subagent to analyze specific Git commit ranges. It enforces a 'review early, review often' philosophy by integrating mandatory quality checks after task completion and before merging to the main branch. By providing structured feedback categorized by severity—Critical, Important, and Minor—it helps developers maintain high standards, prevent cascading technical debt, and ensure all work aligns with original project requirements.

Key Features

Categorized feedback loops (Critical, Important, Minor)
0 GitHub stars
Automated subagent dispatch for deep technical analysis
Structured templates for consistent requirements verification
Support for subagent-driven development workflows
Git-integrated diff reviews using commit SHAs

Use Cases

Verifying individual task completion in subagent-driven development
Performing comprehensive quality audits before merging features to main
Obtaining an objective perspective on complex bug fixes or refactoring

About

Key Features

Categorized feedback loops (Critical, Important, Minor)
0 GitHub stars
Automated subagent dispatch for deep technical analysis
Structured templates for consistent requirements verification
Support for subagent-driven development workflows
Git-integrated diff reviews using commit SHAs

Use Cases

Verifying individual task completion in subagent-driven development
Performing comprehensive quality audits before merging features to main
Obtaining an objective perspective on complex bug fixes or refactoring