Does this replace manual human code review?

While it significantly speeds up the process and catches common errors, it is designed to complement human review by handling the initial verification of requirements and best practices.

When should I use the requesting-code-review skill?

It is best used after completing individual development tasks, finishing a major feature, or as a mandatory check before merging code into your main branch.

What happens if I disagree with the AI's review?

The workflow encourages developers to push back with technical reasoning or code evidence if a suggestion is incorrect, facilitating a collaborative dialogue.

How does the AI subagent know what to review?

The skill utilizes Git SHAs to identify the exact range of changes and compares them against your provided implementation plan or requirements document.

Automated Code Review

Name: Automated Code Review
Author: claudiodearaujo

byclaudiodearaujo

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Collaboration Tools

Streamlines the development process by dispatching specialized AI subagents to perform rigorous code reviews and catch technical issues early.

The requesting-code-review skill automates quality assurance by integrating a specialized code-reviewer subagent into the Claude Code workflow. It enables developers to verify their work against specific plans and requirements using git diffs, ensuring that critical bugs, architectural flaws, and minor improvements are addressed before merging. By providing a structured framework for feedback—ranging from critical blockers to minor optimizations—this skill helps maintain high code standards throughout subagent-driven development and complex feature implementations.

Key Features

01Template-based review requests to ensure context-aware feedback

02Workflow integration for subagent-driven and ad-hoc development

03Categorized feedback loops for Critical, Important, and Minor issues

04Git SHA integration for precise diff tracking and version comparison

05Automated subagent dispatch for deep code analysis

060 GitHub stars

Use Cases

01Verifying task completion during subagent-driven development cycles

02Obtaining a fresh technical perspective when stuck on complex refactoring

03Conducting pre-merge quality checks for major feature branches

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front requesting-code-review

For use in Claude.ai and ChatGPT

Key Features

01Template-based review requests to ensure context-aware feedback

02Workflow integration for subagent-driven and ad-hoc development

03Categorized feedback loops for Critical, Important, and Minor issues

04Git SHA integration for precise diff tracking and version comparison

05Automated subagent dispatch for deep code analysis

060 GitHub stars

Use Cases

01Verifying task completion during subagent-driven development cycles

02Obtaining a fresh technical perspective when stuck on complex refactoring

03Conducting pre-merge quality checks for major feature branches

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front requesting-code-review

For use in Claude.ai and ChatGPT