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/review

Run multi-agent code review across files or uncommitted changes with build, test, and lint checks.

3|1|Updated Feb 7, 2026
Search Tags:#testing#code review#documentation#security#refactoring#ai agents
One-click install
npx skills add https://github.com/yon/agentic-dev-os --skill review-yon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: /review
Source: https://github.com/yon/agentic-dev-os/tree/main/.claude/skills/review
Command: npx skills add https://github.com/yon/agentic-dev-os --skill review-yon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of conducting a thorough code review by leveraging specialized subagents, ensuring code quality, security, and adherence to best practices across multiple dimensions.

Core Features & Use Cases

  • Multi-Dimensional Analysis: Utilizes distinct agents for code correctness, security, architecture, testing, performance, and documentation.
  • Configurable Scope: Allows review of all uncommitted changes, staged changes, or specific files/directories.
  • Automated Verification: Integrates build, test, and lint checks post-review.
  • Use Case: Before committing a significant feature, run /review to get detailed feedback from specialized AI agents on potential issues, ensuring the code is robust and production-ready.

Quick Start

Run /review to analyze all uncommitted changes in the current directory.

Frequently Asked Questions about /review

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

FAQPage Schema
How do I automate a comprehensive code review for uncommitted changes?▼

You can automate a comprehensive code review by running a multi-agent analysis across all uncommitted changes, which checks code quality, security, architecture, testing, performance, and documentation.

What is multi-agent code review and how does it handle security and refactoring?▼

Multi-agent code review utilizes specialized subagents to analyze distinct dimensions of your codebase, specifically targeting security vulnerabilities, refactoring opportunities, and documentation gaps to provide actionable recommendations.

Can I run a code review on specific files or staged changes instead of the whole project?▼

Yes, you can configure the code review scope to target specific files, directories, staged changes, or all uncommitted changes, ensuring the analysis fits your current workflow.

Does the code review process include automated build, test, and lint checks?▼

The code review process integrates automated verification by running build, test, and lint checks after the initial analysis, compiling the results into a structured report with a quality score.

What is the best way to get actionable recommendations before committing a significant feature?▼

The best way to get actionable feedback before committing is to run an automated multi-agent review that evaluates code correctness and performance, yielding a structured report with a quality score.

How does AI agents code review handle documentation analysis?▼

AI agents code review includes a dedicated subagent for documentation analysis, evaluating your changes to ensure proper documentation practices are followed alongside security and architecture checks.

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