code-review

Diagnose architectural and performance issues in user-submitted code.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/kitcaf/skills --skill code-review-kitcaf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/kitcaf/skills/tree/main/skills/code-review
Command: npx skills add https://github.com/kitcaf/skills --skill code-review-kitcaf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured diagnostics to surface architectural and performance issues in codebases, enabling non-destructive improvements.

Core Features & Use Cases

  • Focused on modularity, readability, and performance, with concrete guidance but no code changes.
  • Helps teams identify anti-patterns, duplication, and potential refactoring boundaries for scalable software.
  • Use Case: audits a tangled monolith to propose modularization and performance optimizations without modifying the original code.

Quick Start

Provide a structured, non-destructive code-review report for the target repository.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose architectural issues in a tangled monolith?

To diagnose architectural issues in a tangled monolith, conduct a code review to surface anti-patterns and propose modularization boundaries. This process delivers actionable diagnostics and improvement guidance without directly modifying your original code.

What is the best way to identify performance bottlenecks during a code review?

Identifying performance bottlenecks during a code review involves analyzing your codebase to surface structural anti-patterns. This diagnostic approach highlights performance issues and provides concrete improvement guidance while avoiding destructive code changes.

Can I get refactoring recommendations without modifying my original code?

Yes, you can receive refactoring recommendations without modifying your original code. The review process delivers non-destructive diagnostics that identify potential refactoring boundaries and suggest modularization strategies for scalable software.

Does this code review approach work for unmodular scripts as well as monoliths?

Yes, this code review approach works for unmodular scripts as well as monoliths. The diagnostic process evaluates projects with tangled, unmodular code across various formats to deliver structured evaluation criteria and improvement guidance.

When do I need a non-destructive code review for modularity?

You need a non-destructive code review for modularity when auditing a tangled codebase to identify duplication and anti-patterns. This method proposes modularization and performance optimizations while maintaining the integrity of your original source files.