Which programming languages are supported?

It currently provides full, specialized support for Go, with integrated check rules for Java, Python, Kotlin, Swift, and TypeScript.

Can it enforce my team's specific coding standards?

Yes, the skill automatically detects project-specific files like CLAUDE.md and uses them to verify that all code changes follow your local development standards.

How does the parallel agent system work?

The skill triggers nine independent AI agents that run simultaneously. Each agent focuses on a specific area like security or performance, allowing for a comprehensive review in the time it normally takes to run a single analysis.

What is the confidence scoring mechanism?

Every issue found is assigned a score from 0 to 100. Issues with a score of 80 or higher are reported as definite problems, while those below 80 are flagged for manual human verification.

Does it review my entire repository?

To ensure speed and relevance, the skill focuses primarily on git changes (diffs) or specific files you designate, rather than scanning the entire codebase every time.

Advanced Multi-Agent Code Reviewer

Name: Advanced Multi-Agent Code Reviewer
Author: taptap

bytaptap

협업 도구

Performs comprehensive code audits using nine parallel AI agents to evaluate bugs, security, performance, and code quality.

소개

The Advanced Code Reviewer skill transforms Claude into a sophisticated engineering auditor by deploying nine specialized agents simultaneously to evaluate code changes. It covers four critical dimensions—bug detection, code quality, security vulnerabilities, and performance optimization—using a redundant agent architecture to ensure high-accuracy reporting. The skill automatically identifies project-specific standards via CLAUDE.md files and provides deep, language-specific analysis for Go, with growing support for Java, Python, and TypeScript, making it an essential tool for maintaining high-velocity, high-quality development workflows.

주요 기능

0 GitHub stars
Dual-agent redundancy to increase detection confidence and reduce false positives
Intelligent project-standard enforcement via CLAUDE.md detection
9 Parallel AI Agents for rapid, multi-dimensional code analysis
Specialized check rules for Go, Java, Python, and TypeScript
Automated confidence scoring system to prioritize critical issues

사용 사례

Identifying subtle concurrency issues, nil pointers, and resource leaks
Performing deep security and performance audits on Pull Requests (PRs)
Automating the enforcement of project-specific coding conventions

소개

주요 기능

0 GitHub stars
Dual-agent redundancy to increase detection confidence and reduce false positives
Intelligent project-standard enforcement via CLAUDE.md detection
9 Parallel AI Agents for rapid, multi-dimensional code analysis
Specialized check rules for Go, Java, Python, and TypeScript
Automated confidence scoring system to prioritize critical issues

사용 사례

Identifying subtle concurrency issues, nil pointers, and resource leaks
Performing deep security and performance audits on Pull Requests (PRs)
Automating the enforcement of project-specific coding conventions