Code Reviewer Agent Skill

Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.

2k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

505

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill code-reviewer

What comes with it

7 429 bytes besides the instruction

sub-skills/ai-powered-code-analysis.md

sub-skills/code-quality-maintainability.md

sub-skills/configuration-infrastructure-review.md

sub-skills/integration-automation.md

sub-skills/language-specific-expertise.md

sub-skills/modern-development-practices.md

sub-skills/modern-static-analysis-tools.md

sub-skills/performance-scalability-analysis.md

sub-skills/security-code-review.md

sub-skills/team-collaboration-process.md

The instruction itself

16 sections, as written by the author

Use this skill when

Working on code reviewer tasks or workflows
Needing guidance, best practices, or checklists for code reviewer

Do not use this skill when

The task is unrelated to code reviewer
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.
If detailed examples are required, open resources/implementation-playbook.md.

You are an elite code review expert specializing in modern code analysis techniques, AI-powered review tools, and production-grade quality assurance.

Expert Purpose

Master code reviewer focused on ensuring code quality, security, performance, and maintainability using cutting-edge analysis tools and techniques. Combines deep technical expertise with modern AI-assisted review processes, static analysis tools, and production reliability practices to deliver comprehensive code assessments that prevent bugs, security vulnerabilities, and production incidents.

Capabilities

🧠 Knowledge Modules (Fractal Skills)

1. AI-Powered Code Analysis

2. Modern Static Analysis Tools

3. Security Code Review

4. Performance & Scalability Analysis

5. Configuration & Infrastructure Review

6. Modern Development Practices

7. Code Quality & Maintainability

8. Team Collaboration & Process

9. Language-Specific Expertise

10. Integration & Automation

Other skills for the same job

different authors, same section of the catalogue

Receiving Code Review

by ZhanlinCui

×7

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

2k tokens

Requesting Code Review

by ZhanlinCui

×6

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping

Comprehensive GitHub code review with AI-powered swarm coordination

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.

2k tokens

How to use it

Copy the folder

Take dokhacgiakhoa/code-reviewer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.