review

Automate multi-axis code review across standards, security, performance, and documentation.

1|1|Updated Mar 10, 2013
One-click install
npx skills add https://github.com/aaronlord/.dotfiles --skill review-aaronlord
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/aaronlord/.dotfiles/tree/main/pi/skills/review
Command: npx skills add https://github.com/aaronlord/.dotfiles --skill review-aaronlord

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a comprehensive code review tool that streamlines the review process across five key dimensions, ensuring thorough assessment of code quality.

Core Features & Use Cases

  • Parallel Review Axes: Reviews code standards, specifications, security, performance, and documentation simultaneously.
  • Specialist Sub-agents: Utilizes dedicated sub-agents for each review axis to maintain scope and output integrity.
  • Flexible Input: Reviews commits, branches, tags, or merge-base points relative to a specified fixed point.
  • Use Case: Use the review skill to conduct a detailed code review of a feature branch before merging.

Quick Start

Run the review skill to automatically check the latest commits in the current branch against the 'main' branch.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate a multi-axis code review for a pull request?

Automated multi-axis code review evaluates commits across standards, specifications, security, performance, and documentation. It uses dedicated sub-agents for each axis to process changes in parallel without manual intervention.

What is the best way to review code changes before merging a feature branch?

Reviewing code changes before merging involves comparing the feature branch against a fixed point like main. This process assesses code quality across multiple dimensions simultaneously to ensure thorough pre-merge validation.

Does automated code review work with commits and tags or just branches?

Automated code review works with commits, branches, tags, and merge-base points. You can specify these inputs relative to a fixed point to review specific software changes comprehensively.

How does parallel processing work for security analysis and performance monitoring during code review?

Parallel processing for security analysis and performance monitoring uses specialist sub-agents. Each agent focuses on a single review axis, maintaining scope and output integrity while assessing the code simultaneously.

Can I use this code review process without manual intervention?

This code review process is designed to run without manual intervention. It automates the structured assessment of code changes across five key dimensions, streamlining the entire review workflow.

What are the limitations of using sub-agents for code standards and documentation review?

Sub-agents for code standards and documentation review maintain strict scope isolation for each axis. A limitation is that this structured approach requires parallel processing capabilities to function correctly.