How does the Intelligent Code Reviewer differ from a standard linter?

Unlike linters that check for syntax and style rules, this skill uses AI agents to analyze deeper logic, architectural patterns, security risks, and performance impacts.

Can I focus the review on specific areas like security?

Yes, you can use the --focus flag to prioritize architecture, security, performance, or all aspects of your code review.

Does it provide automated fixes for the issues it finds?

Yes, the skill can generate actionable patches and automated fix commands for style issues, refactoring suggestions, and security mitigations.

What is the difference between standard and comprehensive depth?

Standard depth performs a quick validation of key concerns with 4 agents, while comprehensive depth uses 8+ agents for deep dependency analysis, pattern consistency, and impact assessment.

Does it work with uncommitted local changes?

Yes, the skill integrates with Git and defaults to checking current local changes if no specific paths or branches are provided.

Intelligent Code Reviewer

Name: Intelligent Code Reviewer
Author: Uniswap

byUniswap

•

Security & Testing

Performs comprehensive, multi-agent code reviews focusing on architecture, security, performance, and style consistency.

About

The Intelligent Code Reviewer is a specialized Claude Code skill designed to automate the pull request and code review workflow. By orchestrating multiple AI agents, it conducts deep analysis of code changes to identify architectural deviations, security vulnerabilities, and performance bottlenecks. It goes beyond simple linting by understanding intent and context, providing actionable fix suggestions, generating automated patches, and evaluating test coverage to ensure that every change meets production-grade standards before merging.

Key Features

Prioritized reporting with severity-based findings and merge recommendations
Configurable review depth ranging from standard validation to deep multi-phase impact analysis
13 GitHub stars
Integrated test coverage analysis to identify gaps in your testing suite
Multi-agent coordination for specialized architecture, security, and performance analysis
Automated generation of actionable fixes and code patches for identified issues

Use Cases

Performance optimization analysis for complex algorithms and database interactions
Pre-PR quality checks to catch architectural and security issues before human review
Automated security audits for sensitive modules like authentication or API endpoints

About

Key Features

Prioritized reporting with severity-based findings and merge recommendations
Configurable review depth ranging from standard validation to deep multi-phase impact analysis
13 GitHub stars
Integrated test coverage analysis to identify gaps in your testing suite
Multi-agent coordination for specialized architecture, security, and performance analysis
Automated generation of actionable fixes and code patches for identified issues

Use Cases

Performance optimization analysis for complex algorithms and database interactions
Pre-PR quality checks to catch architectural and security issues before human review
Automated security audits for sensitive modules like authentication or API endpoints