What is a code reviewer subagent?

A code reviewer subagent is a specialized AI instance triggered by this skill to analyze code changes against specific requirements, identifying bugs, architectural flaws, and style issues.

How does the skill identify which code to review?

The skill utilizes Git SHAs (BASE_SHA and HEAD_SHA) to pinpoint the exact range of commits, ensuring the subagent focuses only on the relevant changes.

When is it mandatory to request a code review?

It is highly recommended after completing each task in subagent-driven development, after implementing a major feature, and always before merging to the main branch.

How should I handle feedback from the AI reviewer?

Fix Critical and Important issues immediately before proceeding. Minor issues can be noted for later. If you disagree with the reviewer, you should provide technical reasoning or tests to justify your approach.

AI Code Review Orchestrator

Name: AI Code Review Orchestrator
Author: julianromli

byjulianromli

•

101

Herramientas de Colaboración

Streamlines the code review process by dispatching a specialized subagent to validate changes against requirements and catch issues before merging.

Acerca de

The AI Code Review Orchestrator skill automates the workflow for requesting comprehensive code reviews within Claude Code. By integrating with Git to track specific changes between commits and dispatching a specialized 'code-reviewer' subagent, it ensures that every feature, bug fix, or refactor meets project standards. It provides a structured feedback loop that categorizes issues by severity—Critical, Important, and Minor—helping developers maintain high code quality and prevent technical debt from cascading through the codebase during subagent-driven development.

Características Principales

Integration with subagent-driven development for iterative validation
Seamless dispatch of the superpowers:code-reviewer subagent with template support
101 GitHub stars
Structured feedback categorization to prioritize critical fixes
Automated Git SHA extraction for precise change tracking between versions
Guidance on handling technical pushback and justifying architectural decisions

Casos de Uso

Getting an objective perspective when stuck on a complex bug or planning a large refactor
Performing a final safety check and quality audit before merging changes into the main branch
Verifying complex logic and requirement alignment after completing a major feature task

Acerca de

Características Principales

Integration with subagent-driven development for iterative validation
Seamless dispatch of the superpowers:code-reviewer subagent with template support
101 GitHub stars
Structured feedback categorization to prioritize critical fixes
Automated Git SHA extraction for precise change tracking between versions
Guidance on handling technical pushback and justifying architectural decisions

Casos de Uso

Getting an objective perspective when stuck on a complex bug or planning a large refactor
Performing a final safety check and quality audit before merging changes into the main branch
Verifying complex logic and requirement alignment after completing a major feature task