code-review-skill

Identify code quality issues and generate actionable feedback from multi-language code inputs.

1|Updated Dec 21, 2025
One-click install
npx skills add https://github.com/DIO0550/d-market --skill code-review-skill-dio0550
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-skill
Source: https://github.com/DIO0550/d-market/tree/main/plugins/code-review-plugin/skills/code-review-skill
Command: npx skills add https://github.com/DIO0550/d-market --skill code-review-skill-dio0550

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

言語共通のコードレビュースキルを提供し、コメント最適化、マジックナンバー検出、構造改善の観点で一貫したレビューフローを実現します。

Core Features & Use Cases

  • コメント最適化と Doc コメントの適切な使用を促進します。
  • マジックナンバーの検出と置換提案を行います。
  • Guard Clauses や Dead Code の検出を通じた構造改善を支援します。

Quick Start

レビュー対象のコードを受け取り、観点ごとに改善提案を自動的に出力します。

Frequently Asked Questions about code-review-skill

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

FAQPage Schema
How do I perform a language-agnostic code review for a pull request?

Language-agnostic code review analyzes multi-language code inputs to identify quality issues and generate actionable feedback. It applies structured perspectives like comment optimization, magic-number detection, and structural improvements across diverse code bases.

How do I detect magic numbers and dead code during static analysis?

Static analysis detects magic numbers by identifying unexplained literals and proposing replacements, while structural improvements isolate dead code and suggest guard clauses. This prompt-driven approach reviews code safely without executing it.

Can I use a prompt-driven approach to optimize doc comments across different programming languages?

Yes, a prompt-driven approach optimizes doc comments and promotes appropriate documentation usage across multi-language code bases. It ensures consistent review formatting and generates feedback without executing user code or causing side effects.

What is the best way to automate structural code improvements for a PR review?

Automating structural code improvements for PR review involves applying a language-agnostic skill to detect guard clauses and dead code. It outputs consistent, actionable feedback strictly within code-review guidance boundaries.

Does this multi-language code review tool execute user code or modify files directly?

No, this multi-language code review tool strictly operates within code-review guidance and avoids executing user code or performing side effects. It solely generates actionable feedback in a consistent review format.