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multi-review

Orchestrate multi-agent code reviews across security, performance, and architecture.

4|Updated Jan 7, 2026
Search Tags:#code quality#testing#architecture#code review#performance#security
One-click install
npx skills add https://github.com/josephneumann/claude-corps --skill multi-review-josephneumann
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-review
Source: https://github.com/josephneumann/claude-corps/tree/main/skills/multi-review
Command: npx skills add https://github.com/josephneumann/claude-corps --skill multi-review-josephneumann

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of conducting thorough code reviews by leveraging multiple specialized AI agents in parallel, ensuring comprehensive analysis and identifying potential issues across various aspects of the codebase.

Core Features & Use Cases

  • Parallel Specialized Review: Utilizes distinct AI agents focused on security, performance, architecture, patterns, and framework-specific best practices.
  • Configurable Review Depth: Adapts the review intensity based on project-defined risk tiers or defaults to a balanced approach.
  • Automated SAST Integration: Incorporates static analysis security testing (SAST) findings for a hybrid verification approach.
  • Use Case: When submitting a pull request for a critical new feature, invoke this Skill to get a multi-faceted review covering security vulnerabilities, performance bottlenecks, architectural soundness, and adherence to framework conventions before merging.

Quick Start

Run a comprehensive code review on the current changes.

Frequently Asked Questions about multi-review

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

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

Automated code reviews can be orchestrated using multiple specialized AI agents that analyze changes in parallel to identify security vulnerabilities, performance bottlenecks, and architectural issues before merging.

What is multi-agent code review and how does it work?▼

Multi-agent code review deploys distinct AI agents focused on security, performance, architecture, and framework-specific patterns simultaneously, analyzing code changes against project-defined risk tiers.

How do I integrate SAST findings into an automated code review process?▼

Static analysis security testing (SAST) findings can be integrated into the code review process to provide a hybrid verification approach, enhancing the detection of security vulnerabilities alongside AI-driven analysis.

Can I adjust code review depth based on project risk tiers?▼

Code review intensity can be configured to adapt based on project-defined risk tiers, or it can default to a balanced approach depending on the criticality of the submitted changes.

Does automated code review support frontend browser testing?▼

Automated code review processes can include optional frontend browser testing alongside automated fixing suggestions to verify framework-specific concerns and functional changes.

When should I use a parallel specialized review instead of standard code analysis?▼

Parallel specialized review is ideal when submitting pull requests for critical new features, ensuring comprehensive analysis of security, performance, and architectural soundness before merging.

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