One-click install
npx skills add https://github.com/gigaverse-app/skillet --skill code-review-gigaverse-app
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/gigaverse-app/skillet/tree/main/python-standards/skills/code-review
Command: npx skills add https://github.com/gigaverse-app/skillet --skill code-review-gigaverse-app

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires llm, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps reviewers surface egregious, architecture-oriented issues by focusing on cross-file patterns, maintainability, and code quality rather than just line-by-line checks.

Core Features & Use Cases

  • Cross-file pattern detection: Identify duplicated logic, architectural smells, and inconsistencies across files.
  • Quality-focused review workflow: Prioritize structural issues such as god functions, weak types, and missing interfaces.
  • Large-diff handling guidance: Provides steps to retain context in large PR diffs and apply a scalable review approach.

Quick Start

Diff the current branch against main while excluding noise like lock files to produce a focused PR diff.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I find cross-file code issues in a pull request?

To handle large diffs in code reviews, exclude noise like lock files to produce a focused PR diff. This retains context and enables a scalable approach to surface egregious architecture-oriented issues.

What cross-file patterns should I look for during a code review?

To handle large diffs in code reviews, exclude noise like lock files to produce a focused PR diff. This retains context and enables a scalable approach to surface egregious architecture-oriented issues.

How do I handle large diffs when reviewing a pull request?

Yes, you can prioritize structural code quality over line-by-line checks by enforcing a review mindset that targets egregious issues, cross-file patterns, and architectural smells to improve production code.

Can I prioritize structural code quality over line-by-line checks?

To find cross-file code issues in a pull request, analyze diffs across files to surface duplicated logic, architectural smells, and inconsistencies. This approach prioritizes structural integrity over line-by-line checks.

Does analyzing PR diffs work for discovering architectural smells?

During a code review, look for cross-file patterns like duplicated logic, architectural smells, god functions, weak types, and missing interfaces. Identifying these structural issues improves overall maintainability.