code-reviewer

Automates standards-compliant code reviews for multi-language codebases and PRs.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/Eigo-Mt-Fuji/portfolio-2026 --skill code-reviewer-eigo-mt-fuji
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/Eigo-Mt-Fuji/portfolio-2026/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/Eigo-Mt-Fuji/portfolio-2026 --skill code-reviewer-eigo-mt-fuji

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code reviews are critical but often inconsistent. This Skill provides a structured, repeatable framework to identify code-quality, security, and performance issues, and to supply concrete improvement suggestions during reviews.

Core Features & Use Cases

  • Structured feedback: Evaluates code quality, design principles (SOLID), security considerations, and maintainability.
  • Guided review process: Provides step-by-step prompts, checklists, and best-practice guidelines for reviewers.
  • Use Case: When reviewing a PR implementing a new feature, this Skill helps surface potential code smells, anti-patterns, and performance bottlenecks, enabling actionable fixes.

Quick Start

Start a review session by specifying the target file or PR and follow the prompts to collect findings and recommendations.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code reviews for security and performance issues?

Automated code reviews systematically scan codebases for security vulnerabilities, performance bottlenecks, and design anti-patterns using static analysis and best-practice rules. This Skill applies structured review frameworks across multi-language PRs, surfacing actionable issues like code smells and SOLID principle violations without manual inspection of every line.

Can I use code review automation with pull requests in any language?

Yes. This Skill supports multi-language codebases and PRs, applying consistent quality and security standards across projects regardless of implementation language. It surfaces language-agnostic issues such as code smells, anti-patterns, and maintainability concerns.

What's the best way to implement consistent code review standards across a team?

Structured code reviews using guided checklists and best-practice frameworks ensure consistency and repeatability. This Skill provides step-by-step prompts and SOLID design guidelines that standardize feedback across reviewers, reducing variance and enabling deterministic, repeatable reviews.

How does static analysis help identify code quality problems in PRs?

Static analysis examines code without executing it to detect code smells, anti-patterns, and optimization opportunities early. Built-in tooling (Read, Grep, Glob, Bash) enables deterministic analysis that surfaces security risks and performance gaps before code reaches production.

What types of issues does automated code review catch?

Automated review identifies code smells, anti-patterns, security vulnerabilities, performance bottlenecks, and SOLID design principle violations. Concrete improvement suggestions accompany each finding, enabling actionable fixes during the review cycle.

Do I need manual review if I use automated code review?

Automated review complements manual review by surfacing structural and performance issues consistently. Human reviewers then focus on logic, architecture, and context-specific concerns, making the review process faster and more thorough.