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code-review

Orchestrate parallel code review agents and consolidate findings into a unified report.

4|Updated Jan 23, 2026
Search Tags:#code quality#automation#code review#pull request#security#ai agents
One-click install
npx skills add https://github.com/alphaleonis/decaf-claude-config --skill code-review-alphaleonis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/alphaleonis/decaf-claude-config/tree/main/decaf-review/skills/code-review
Command: npx skills add https://github.com/alphaleonis/decaf-claude-config --skill code-review-alphaleonis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of code review by orchestrating multiple specialized AI agents, consolidating their findings, and generating a unified report to improve code quality and consistency.

Core Features & Use Cases

  • Multi-Agent Review: Leverages various agents (quick, broad, knowledge, design, security, test, spec-compliance) for comprehensive analysis.
  • Flexible Scoping: Supports reviewing local uncommitted changes, specific files/directories, or pull requests.
  • Deduplication & Consolidation: Merges similar findings from different agents into a single, actionable report.
  • Use Case: Before merging a new feature, run this Skill to get a thorough review from multiple perspectives, ensuring adherence to standards, security best practices, and design principles.

Quick Start

Run a standard code review on your uncommitted local changes.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code review for pull requests?▼

Automated code review for pull requests is achieved by orchestrating parallel AI agents to analyze changes and consolidate findings into a unified report. It standardizes severity, deduplicates issues, and generates detailed actionable reports across multiple platforms.

Can I run an AI code review on local uncommitted changes?▼

Yes, you can run an AI code review on local uncommitted changes. The review supports flexible scoping, allowing you to target local modifications, specific file paths, or directories before merging new features.

What is the best way to consolidate duplicate findings from multiple code review agents?▼

The best way to consolidate duplicate findings from multiple code review agents is using an orchestration process that standardizes severity and merges similar issues. This generates a single actionable report with agent statistics and recurring finding history.

Does automated code review analyze security and spec compliance?▼

Automated code review does analyze security and spec compliance. It leverages specialized agents including security, test, design, and spec-compliance agents to ensure code changes adhere to standards and best practices.

What types of code analysis are included in a multi-agent code review?▼

Multi-agent code review includes quick, broad, knowledge, design, security, test, and spec-compliance analysis. These parallel agents provide comprehensive analysis from multiple perspectives to improve overall code quality and consistency.

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