Can this skill be used for legacy code?

Yes, it is highly effective for establishing a baseline check before refactoring existing code or for getting unstuck during complex bug fixes.

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

The skill includes a protocol for 'pushing back' with technical reasoning, providing code or tests that prove the implementation is correct, or requesting further clarification.

When is it mandatory to request a review?

Reviews are mandatory after each task in subagent-driven development, after completing major features, and immediately before merging to the main branch.

What is a code-reviewer subagent?

It is a specialized AI agent dispatched via this skill to analyze specific code diffs and provide structured, technical feedback on implementation against requirements.

How does the skill identify which code to review?

The skill utilizes git SHAs (Base and Head) to precisely define the commit range that needs analysis, ensuring the reviewer focuses only on relevant changes.

Automated Code Review Manager

Name: Automated Code Review Manager
Author: as4584

byas4584

Collaboration Tools

Facilitates structured code reviews by dispatching specialized subagents to verify implementation quality before merging.

About

The Requesting Code Review skill provides a standardized framework for Claude to initiate and process technical reviews throughout the development lifecycle. It automates the extraction of git SHAs and the dispatching of specialized code-reviewer subagents to identify bugs, architectural inconsistencies, and stylistic issues before they propagate. By establishing clear checkpoints after task completion or feature implementation, this skill ensures high code quality and reduces technical debt in both subagent-driven and ad-hoc development workflows.

Key Features

0 GitHub stars
Formal protocols for addressing, fixing, or disputing reviewer feedback
Structured subagent dispatching via the superpowers:code-reviewer tool
Workflow integration for subagent-driven development task cycles
Automated git SHA extraction for precise diff range identification
Standardized feedback categorization for Critical, Important, and Minor issues

Use Cases

Verifying individual task completion in subagent-driven development cycles
Performing final quality assurance checks before merging features to main branches
Gaining a fresh perspective and baseline check before complex code refactoring

About

Key Features

0 GitHub stars
Formal protocols for addressing, fixing, or disputing reviewer feedback
Structured subagent dispatching via the superpowers:code-reviewer tool
Workflow integration for subagent-driven development task cycles
Automated git SHA extraction for precise diff range identification
Standardized feedback categorization for Critical, Important, and Minor issues

Use Cases

Verifying individual task completion in subagent-driven development cycles
Performing final quality assurance checks before merging features to main branches
Gaining a fresh perspective and baseline check before complex code refactoring