review-dispatch

Name: review-dispatch
Availability: InStock
Author: ahrav

Consolidate six specialist code review perspectives into a prioritized report with confidence scores.

2|Updated Jan 24, 2026

Search Tags:#automation #developer tools #quality assurance #code review #refactoring #specialist agents

Ready to run

npx skills add https://github.com/ahrav/scratch-scanner-rs --skill review-dispatch

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-dispatch
Source: https://github.com/ahrav/scratch-scanner-rs/tree/main/.claude/skills/review-dispatch
Command: npx skills add https://github.com/ahrav/scratch-scanner-rs --skill review-dispatch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of code review by employing multiple specialized agents to analyze code from different perspectives, ensuring a comprehensive and efficient review.

Core Features & Use Cases

Specialized Review Lenses: Six distinct agents focus on correctness, design, performance, safety, documentation, and complexity.
Consolidated Reporting: A single ranker agent merges findings into a prioritized, actionable report with confidence scores.
Use Case: Before merging a critical feature branch, use this Skill to get a multi-faceted review that catches potential bugs, design flaws, and performance issues that a single reviewer might miss.

Quick Start

Use the review-dispatch skill to review the current pull request.

Frequently Asked Questions about review-dispatch

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

FAQPage Schema

How do I automate code review for a pull request before merging?▼

Automated code review for a pull request is performed by dispatching six independent specialist agents to analyze code changes. These agents consolidate their findings into a single prioritized report with confidence scores for pre-merge quality assurance.

What is multi-agent code review and how does it work?▼

Multi-agent code review works by deploying six specialized agents to evaluate code changes across correctness, design, performance, safety, documentation, and complexity. A ranker agent then merges all findings into a consolidated, prioritized report.

How do I check code changes for design flaws and performance issues automatically?▼

Specialist agents automatically check code changes for design flaws and performance issues by analyzing the code from distinct perspectives. This two-phase review identifies potential bugs and design flaws that a single reviewer might miss.

Can I use parallel specialist agents for pre-merge quality assurance?▼

Parallel specialist agents can be used for pre-merge quality assurance to perform a comprehensive review of critical feature branches. The process outputs an actionable report containing prioritized findings and confidence scores.

What is the best way to review code complexity and safety before a merge?▼

The best way to review code complexity and safety before a merge is using a two-phase specialist review. It independently analyzes complexity and safety alongside other dimensions, consolidating the results into a single prioritized report.

Does automated code review provide confidence scores for identified issues?▼

Automated code review provides confidence scores for identified issues by consolidating findings from multiple independent agents. A single ranker agent merges these results into a prioritized, actionable report for quality assurance.