When should I request a code review using this skill?

Review is recommended after each subagent-driven task, after completing a major feature, or as a mandatory step before merging your branch into main.

What happens if the subagent identifies a critical issue?

The protocol dictates that Critical and Important issues should be fixed immediately before proceeding with further development tasks.

Can I disagree with the AI's review feedback?

Yes. If the reviewer is incorrect, you can push back by providing technical reasoning, code samples, or test results that prove the implementation is correct.

How does the skill identify which code to review?

The skill uses Git SHAs (Base and Head) to define the exact range of changes, ensuring the subagent only analyzes relevant new code.

Does this replace human code review?

While it catches many issues early, it is best used as a first-pass gate to ensure high quality before a final human review or as a safety net in solo development.

Code Review Automator

Name: Code Review Automator
Author: ZhanlinCui

byZhanlinCui

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Herramientas de Colaboración

Streamlines development by dispatching specialized subagents to perform automated code reviews against requirements and best practices.

The Code Review Automator is a specialized skill designed to integrate rigorous quality assurance into the Claude Code workflow. By leveraging a dedicated 'code-reviewer' subagent, this skill analyzes git diffs between specific commits to ensure that new implementations align with project requirements and architectural standards. It establishes a structured protocol for catching critical bugs early, managing technical debt, and maintaining a high bar for code quality through mandatory review gates during feature development and before final merges.

Características Principales

01Automated subagent dispatch for deep code analysis

02Precise diff tracking using Git SHA references

03Structured protocol for acting on or refuting reviewer feedback

0417 GitHub stars

05Integration with subagent-driven development workflows

06Standardized feedback categorization (Critical, Important, Minor)

Casos de Uso

01Verifying major feature implementations before merging into the main production branch

02Gaining a fresh technical perspective when stuck on complex bugs or refactoring

03Performing incremental reviews after every task in a complex development plan

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhanlincui/ultimate-agent-skills-collection requesting-code-review

For use in Claude.ai and ChatGPT

Download Skill