review

Dispatch multiple agents to analyze and provide feedback on open pull requests.

14|2|Updated Mar 2, 2023

Search Tags:#code review #parallel processing #pull request #software development #agent-based

Ready to run

npx skills add https://github.com/sudopark/TodoCalendar --skill review-sudopark

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review
Source: https://github.com/sudopark/TodoCalendar/tree/main/.claude/skills/review
Command: npx skills add https://github.com/sudopark/TodoCalendar --skill review-sudopark

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires code-reviewer, code-analyzer, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the code review process for open pull requests by dispatching parallelized agents for comprehensive code analysis and feedback.

Core Features & Use Cases

Parallel Code Review: Utilizes multiple agents to review code changes simultaneously, reducing review time.
Customizable Review Points: Allows setting specific review criteria and excluding certain aspects as per user instructions.
Detailed Feedback: Provides in-depth feedback on code quality, adherence to conventions, and potential issues.

Quick Start

Request a code review for the open pull request #123 by saying "Review the code in pull request #123."

Frequently Asked Questions about review

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

FAQPage Schema

How do I automate code review for open pull requests?▼

Automating code review for open pull requests is achieved by dispatching parallelized agents to analyze code changes and provide detailed feedback on quality and conventions.

Can I set specific review criteria when analyzing a pull request?▼

Yes, you can set specific review criteria and exclude certain aspects as per your instructions when configuring the parallelized agents for code analysis.

What is parallel code review and how does it work?▼

Parallel code review utilizes multiple agents to review code changes simultaneously, reducing review time by dispatching concurrent analysis tasks across the pull request diff.

How do I start a code review for a specific pull request?▼

Start a code review by requesting the task directly, such as saying "Review the code in pull request #123" to dispatch the parallelized agents.

Do I need to configure subagents before reviewing code changes?▼

Yes, this workflow requires proper configuration of subagents and review criteria to ensure the parallelized agents provide comprehensive and accurate code analysis.