How does swarm coordination improve code reviews?

Instead of one generic AI pass, the swarm approach uses multiple agents specialized in different disciplines that work in parallel to provide more thorough and accurate feedback.

Does this skill require the GitHub CLI?

Yes, this skill utilizes the GitHub CLI (gh) to interact with pull requests, fetch diffs, and post review comments directly to your repository.

Can I customize which agents are triggered for a review?

Yes, you can configure agent assignment based on PR labels, file paths (e.g., auth or payment directories), or specific manual commands.

Does the skill support automated fixes?

Yes, the Style & Convention agent can be configured to provide auto-fixes for formatting, naming, and import organization issues.

What types of vulnerabilities can the security agent detect?

The security agent identifies common vulnerabilities including SQL injection, XSS, hardcoded secrets, authentication flaws, and insecure dependency patterns.

GitHub AI Code Review Swarm

Name: GitHub AI Code Review Swarm
Author: zellycloud

byzellycloud

Collaboration Tools

Automates comprehensive GitHub pull request reviews using a swarm of specialized AI agents for security, performance, and architectural analysis.

About

The GitHub Code Review skill revolutionizes the PR process by deploying a coordinated swarm of specialized AI agents to analyze code changes. Unlike generic linting tools, this skill uses domain-specific agents—focusing on security, performance, style, and architecture—to provide deep, context-aware feedback. It integrates directly with the GitHub CLI to automate comment generation, enforce quality gates, and suggest intelligent fixes, ensuring that every pull request meets high-quality standards before merging.

Key Features

Deep security auditing for OWASP vulnerabilities and secret exposure
Intelligent comment generation with actionable code suggestions and auto-fixes
0 GitHub stars
Performance impact analysis including Big O and resource utilization
Multi-agent swarm orchestration for parallel domain-specific analysis
Automated PR management and quality gate enforcement via GitHub CLI

Use Cases

Enforcing architectural patterns and coding standards across large, distributed teams
Reducing developer feedback loops by providing instant, multi-dimensional AI reviews
Automating high-depth security and performance audits for sensitive codebase changes

About

Key Features

Deep security auditing for OWASP vulnerabilities and secret exposure
Intelligent comment generation with actionable code suggestions and auto-fixes
0 GitHub stars
Performance impact analysis including Big O and resource utilization
Multi-agent swarm orchestration for parallel domain-specific analysis
Automated PR management and quality gate enforcement via GitHub CLI

Use Cases

Enforcing architectural patterns and coding standards across large, distributed teams
Reducing developer feedback loops by providing instant, multi-dimensional AI reviews
Automating high-depth security and performance audits for sensitive codebase changes