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MarcoDava
MarcoDavaCOMMUNITY
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github-code-review

Coordinate multiple AI review agents on GitHub pull requests.

1|Updated Feb 7, 2026
Search Tags:#automation#github#ai#quality#swarm#code-review#pr-management
One-click install
npx skills add https://github.com/MarcoDava/MockCortex --skill github-code-review-marcodava
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/MarcoDava/MockCortex/tree/main/.agents/skills/github-code-review
Command: npx skills add https://github.com/MarcoDava/MockCortex --skill github-code-review-marcodava

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GitHub code reviews can be slow and fragmented; this Skill coordinates multiple AI agents to perform comprehensive, synchronous reviews across code quality, security, performance, and architecture.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized AI agents to run parallel, cross-cutting reviews on pull requests.
  • PR-Based Swarm Management: Automate swarm creation, agent assignment, and task orchestration tied to PR events.
  • Quality Gate Enforcement: Apply configurable thresholds and automatic comment generation to accelerate approvals.

Quick Start

Initialize a GitHub code-review swarm for a specific PR and spawn the appropriate review agents.

Frequently Asked Questions about github-code-review

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

FAQPage Schema
How do I automate GitHub code reviews using AI agents?▼

Automate GitHub code reviews by coordinating a swarm of AI agents to perform parallel, cross-cutting analysis on pull requests. This system automates swarm creation, agent assignment, and task orchestration tied to PR events.

What is multi-agent orchestration for pull request management?▼

Multi-agent orchestration for PR management deploys specialized AI review agents to run parallel, cross-cutting reviews across security, performance, architecture, and style domains on pull requests.

Can I use automated code review for pull requests of varying sizes and languages?▼

Yes, the coordinated AI swarm applies to pull requests of varying sizes and languages, enabling parallel analysis across multiple code quality domains to accelerate approvals.

How do AI agents enforce quality gates on GitHub pull requests?▼

AI agents enforce quality gates by applying configurable thresholds and generating automatic comments on GitHub pull requests to accelerate the approval workflow.

What is the best way to handle synchronous code reviews across security and architecture domains?▼

The best way to handle synchronous reviews across security and architecture domains is deploying a coordinated AI swarm that performs comprehensive, contextual analysis directly on GitHub pull requests.

Do I need to manually assign review agents to specific PR events?▼

No, swarm management automates review agent creation, assignment, and task orchestration tied directly to GitHub pull request events, satisfying requirements for automated comments and workflow integration.

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