What are the engineering principles evaluated during a review?

The skill specifically checks for adherence to KISS (Keep It Simple), DRY (Don't Repeat Yourself), POLA (Principle of Least Astonishment), and YAGNI (You Aren't Gonna Need It).

Which programming languages does the Codebase Review skill support?

It has built-in expertise for React, TypeScript, and .NET, but can dynamically analyze any language by using Context7 to look up specific idioms and best practices.

Can I control how deep the codebase analysis goes?

Yes, you can specify depth levels using --quick for high-level patterns, --standard for regular reviews, or --comprehensive for a full codebase scan.

How does this skill help with code execution?

Rather than just providing feedback, it passes structured findings to the pm7y-ralph-planner, which generates a TASKS.md file for autonomous execution and validation.

PM7Y Codebase Review

Name: PM7Y Codebase Review
Author: pm7y

bypm7y

협업 도구

Analyzes codebases for engineering principles and pattern consistency to generate automated refactoring plans.

소개

PM7Y Codebase Review is a specialized Claude Code skill designed to perform deep analysis of software repositories for architectural health and style consistency. It automatically detects project languages and frameworks—such as React, TypeScript, and .NET—to evaluate code against industry best practices and core engineering principles like KISS, DRY, and YAGNI. By integrating with the Ralph Planner ecosystem, it transforms architectural findings into actionable, verifiable tasks for autonomous improvement, making it an essential tool for managing technical debt and maintaining high code quality.

주요 기능

Dynamic idiom lookup using Context7 for modern best practices
Automatic language and framework detection for tailored analysis
0 GitHub stars
Principle-based evaluation (KISS, DRY, POLA, and YAGNI)
Configurable review depth from quick health checks to comprehensive scans
Automated task generation via integration with pm7y-ralph-planner

사용 사례

Periodic codebase health checks to identify and reduce technical debt
Pre-refactoring analysis to map out architectural improvements
Autonomous code quality sessions to enforce consistent patterns across teams

소개

주요 기능

Dynamic idiom lookup using Context7 for modern best practices
Automatic language and framework detection for tailored analysis
0 GitHub stars
Principle-based evaluation (KISS, DRY, POLA, and YAGNI)
Configurable review depth from quick health checks to comprehensive scans
Automated task generation via integration with pm7y-ralph-planner

사용 사례

Periodic codebase health checks to identify and reduce technical debt
Pre-refactoring analysis to map out architectural improvements
Autonomous code quality sessions to enforce consistent patterns across teams