What happens if the AI reviewer finds a critical issue?

The skill establishes a protocol to fix Critical and Important issues immediately, while Minor issues can be noted for future technical debt sessions.

How does this skill compare code changes?

It utilizes Git SHAs (BASE_SHA and HEAD_SHA) to identify the exact range of changes and passes the diff context to a specialized reviewer subagent for analysis.

Is this skill limited to specific programming languages?

No, it is language-agnostic and works with any codebase managed via Git that Claude Code can access.

When should I use the Requesting Code Review skill?

It is mandatory after each task in subagent-driven development and before merging to main, but it is also valuable when you need a fresh perspective on complex refactors.

Can I push back against the subagent's feedback?

Yes. If the reviewer is incorrect, the workflow encourages pushing back with technical reasoning, code samples, or test results to prove the implementation's validity.

Requesting Code Review

Name: Requesting Code Review
Author: pur3v4d3r

bypur3v4d3r

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Collaboration Tools

Facilitates high-quality code reviews by dispatching specialized AI subagents to analyze changes and catch technical issues before they reach production.

About

This skill streamlines the code review process within Claude Code by automating the dispatch of a 'code-reviewer' subagent. It helps developers maintain high code quality standards by comparing Git SHAs, analyzing implementations against original requirements, and providing structured feedback categorized by severity. Whether used in subagent-driven development or for final checks before merging, it ensures that technical debt is minimized and critical bugs are caught early in the development lifecycle by providing an objective, automated second pair of eyes.

Key Features

Automated subagent dispatch for deep code analysis
1 GitHub stars
Requirement-to-implementation verification logic
Git-integrated review based on specific commit ranges (SHAs)
Workflow integration for task-by-task or milestone reviews
Structured feedback categorized by Critical, Important, and Minor issues

Use Cases

Validating complex logic or bug fixes during subagent-driven development cycles
Getting a fresh technical perspective and catching edge cases when stuck on an implementation
Performing a final safety check before merging a feature branch into the main repository

About

Key Features

Automated subagent dispatch for deep code analysis
1 GitHub stars
Requirement-to-implementation verification logic
Git-integrated review based on specific commit ranges (SHAs)
Workflow integration for task-by-task or milestone reviews
Structured feedback categorized by Critical, Important, and Minor issues

Use Cases

Validating complex logic or bug fixes during subagent-driven development cycles
Getting a fresh technical perspective and catching edge cases when stuck on an implementation
Performing a final safety check before merging a feature branch into the main repository