How do I start a review with this skill?

You can start a review by providing a starting commit hash with commands like 'review commits from [hash]' or 'code review starting from [hash]'.

What criteria does the AI use to review my code?

The skill follows Google's Code Review Standards, evaluating design, functionality, complexity, testing, naming conventions, and style.

Does this skill require external tools?

It utilizes a specialized CLI tool included in the repository to extract commit metadata and diffs for processing within Claude Code.

Can I choose which commits to review within a range?

Yes, the skill generates an interactive table of all commits in the range and allows you to select specific indices or review the entire list.

What is 'AI slop' detection?

AI slop detection identifies low-quality, verbose, or redundant code often generated by LLMs that doesn't follow project-specific best practices.

Smart Code Reviewer

Name: Smart Code Reviewer
Author: retsohuang

byretsohuang

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コラボレーションツール

Reviews Git commits from a specified hash to HEAD to detect bugs, AI slop, and architectural issues using industry standards.

概要

The Smart Code Reviewer skill automates the rigorous process of code analysis by examining individual commits against Google's Engineering Practices. It goes beyond simple linting by evaluating design patterns, functionality, and complexity, while specifically identifying 'AI slop' and missed opportunities for component reuse. By providing actionable suggestions and a professional summary, this skill helps developers maintain high code health and reduces the manual burden of peer reviews during the development lifecycle.

主な機能

Range-based commit analysis from any starting hash to HEAD
Detailed summary reports with estimated human review time savings
Detection of AI-generated 'slop' and redundant code patterns
Automated adherence to Google's Code Review Standards
Interactive commit selection for targeted auditing
1 GitHub stars

ユースケース

Onboarding onto a new codebase by reviewing recent architectural changes
Identifying technical debt and 'AI slop' in rapidly developed feature branches
Pre-submission auditing of local commits before opening a Pull Request

概要

主な機能

Range-based commit analysis from any starting hash to HEAD
Detailed summary reports with estimated human review time savings
Detection of AI-generated 'slop' and redundant code patterns
Automated adherence to Google's Code Review Standards
Interactive commit selection for targeted auditing
1 GitHub stars

ユースケース

Onboarding onto a new codebase by reviewing recent architectural changes
Identifying technical debt and 'AI slop' in rapidly developed feature branches
Pre-submission auditing of local commits before opening a Pull Request