parallel-reviewer

Dispatch specialized agents for parallel security, performance, architecture, and testing code reviews.

1|Updated Mar 1, 2026

Search Tags:#testing #architecture #quality assurance #code review #performance #security

Ready to run

npx skills add https://github.com/hjemmesidekongen/ai --skill parallel-reviewer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-reviewer
Source: https://github.com/hjemmesidekongen/ai/tree/main/plugins/kronen/skills/parallel-reviewer
Command: npx skills add https://github.com/hjemmesidekongen/ai --skill parallel-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ensuring code quality across multiple critical dimensions (security, performance, architecture, testing) by automating a comprehensive, parallelized review process.

Core Features & Use Cases

Parallelized Review: Dispatches four specialized reviewers simultaneously for efficiency.
Consolidated Findings: Aggregates and deduplicates feedback from all reviewers into a single, ranked report.
Use Case: Before merging a significant feature branch, use this Skill to get a holistic review covering potential security flaws, performance bottlenecks, architectural inconsistencies, and testing gaps, ensuring a higher quality merge.

Quick Start

Run a parallel code review on the current changes.

Frequently Asked Questions about parallel-reviewer

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

FAQPage Schema

How do I run a multi-angle code review for security and performance before merging a feature branch?▼

To run a multi-angle code review, dispatch specialized agents that analyze security, performance, architecture, and testing in parallel. This process consolidates findings, deduplicates issues, and ranks them by severity to ensure comprehensive code quality assessment before a merge.

What is parallelized code review and how does it handle architecture and testing analysis?▼

Parallelized code review is a mechanism that dispatches four specialized reviewers simultaneously to analyze architecture and testing. It directly reads generated artifacts to consolidate findings, deduplicate overlapping issues, and rank them by severity for lossless code quality reporting.

Can I use automated code review to check for security flaws and performance bottlenecks at the same time?▼

Yes, automated code review can check for security flaws and performance bottlenecks simultaneously by dispatching specialized agents in parallel. It aggregates feedback from all reviewers into a single ranked report, providing a holistic assessment of potential vulnerabilities and inefficiencies.

What's the best way to consolidate code review findings from different testing and security analyzers?▼

The best way to consolidate code review findings is to use a process that aggregates and deduplicates feedback from all testing and security analyzers into a single report. This approach ranks issues by severity, ensuring a comprehensive and lossless assessment of code quality.

Does parallel code review require generated artifacts for consolidating quality assurance reports?▼

Yes, parallel code review requires artifact generation and direct reading of review reports to achieve lossless consolidation. This ensures that findings from security, performance, architecture, and testing analysis are accurately deduplicated and ranked by severity.