requesting-code-review

Dispatch parallel review agents to analyze a git diff and prioritize findings.

2|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/thesyntaxninja/syntaxninja-dojo --skill requesting-code-review-thesyntaxninja
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: requesting-code-review
Source: https://github.com/thesyntaxninja/syntaxninja-dojo/tree/main/skills/requesting-code-review
Command: npx skills add https://github.com/thesyntaxninja/syntaxninja-dojo --skill requesting-code-review-thesyntaxninja

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates multiple review agents to analyze a git diff and deliver a single, deduplicated, and prioritized code review so teams get clear, actionable feedback before merging.

Core Features & Use Cases

  • Parallel multi-angle review: Dispatches reviewers focused on simplicity, security, performance, patterns, and architecture as appropriate.
  • Merge and prioritize findings: Collects agent outputs, deduplicates issues, groups by file, and ranks by severity (P1/P2/P3).
  • Use Case: Run this when implementation is complete and you need a thorough pre-PR audit that surfaces blockers and improvement opportunities from multiple expert perspectives.

Quick Start

Ask the skill to review the current git diff, dispatch parallel review agents, merge findings, deduplicate issues, and prioritize fixes by severity.

Frequently Asked Questions about requesting-code-review

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

FAQPage Schema
How do I automate a multi-angle code review on a git diff before a pull request?

To automate a pre-PR code review, this Skill dispatches parallel review agents focused on security, performance, and architecture to analyze your git diff, then deduplicates and prioritizes the findings by severity.

What is the best way to get a prioritized code review from multiple AI agents?

The best way to get prioritized AI feedback is to run a parallel review workflow that merges multi-angle agent outputs, groups issues by file, and ranks them by severity (P1/P2/P3) for clear pre-PR feedback.

How does parallel agent review deduplicate code findings?

Parallel agent review deduplicates code findings by collecting outputs from multiple reviewers, grouping the detected issues by file, and ranking them by severity to deliver a single, unified code review report.

Can I use staged changes as input for an automated code review workflow?

Yes, you can use staged changes as input for this code review workflow; the Skill accepts either a full git diff or staged changes to run its parallel reviewers and generate a comprehensive audit.

When do I need to run a parallel agent review workflow on my code?

You need to run a parallel agent review workflow when your implementation is complete and you require a thorough pre-PR audit that surfaces blockers and improvement opportunities from multiple expert perspectives.

Does the code review workflow chain to other verification steps before completion?

Yes, the code review workflow chains to verification-before-completion, ensuring that after parallel reviewers analyze the git diff and prioritize findings, the implementation undergoes a final verification step.