dotnet:review

Automate parallel multi-track review of .NET code changes.

2|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/dimsour/dotnet-ai-toolkit --skill dotnet-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dotnet:review
Source: https://github.com/dimsour/dotnet-ai-toolkit/tree/main/plugins/dotnet/skills/review
Command: npx skills add https://github.com/dimsour/dotnet-ai-toolkit --skill dotnet-review

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of reviewing .NET code changes, providing a thorough multi-track analysis that helps identify issues early in the development cycle.

Core Features & Use Cases

  • Parallel Multi-Track Review: Concurrently reviews .NET code for style, functionality, security, and adherence to Iron Laws.
  • Automated Review Reports: Generates consolidated review reports that highlight issues and provide actionable feedback.
  • Use Case: After using /dotnet:work to implement changes, use this Skill to automatically review the code and ensure it meets quality standards before merging.

Quick Start

Run the /dotnet:review command to initiate a comprehensive review of your .NET code changes.

Frequently Asked Questions about dotnet:review

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

FAQPage Schema
How do I automate .NET code reviews for security and style issues?

You can automate .NET code reviews by running a parallel multi-track analysis that concurrently checks code style, functionality, security, and adherence to Iron Laws. This generates a consolidated report highlighting issues and providing actionable feedback.

What is parallel multi-track analysis in .NET code review?

Parallel multi-track analysis is a review mechanism that concurrently evaluates .NET code changes across multiple dimensions, including style, functionality, security, and Iron Laws, to identify issues early in the development cycle.

Can I use automated .NET code review with GitHub Copilot CLI?

Yes, automated .NET code review works with GitHub Copilot CLI. It requires a .NET environment and access to either the Claude Code or GitHub Copilot CLI to execute the multi-track analysis workflow.

How do I review .NET code changes after implementing a feature?

To review .NET code changes after implementation, initiate a comprehensive automated review to ensure the code meets quality standards before merging. This checks style, functionality, security, and Iron Laws simultaneously.

What are the Iron Laws in .NET code review?

Iron Laws are specific coding standards evaluated during the .NET review process. The multi-track analysis checks your code changes for adherence to these laws alongside functionality, security, and style constraints.

Does automated .NET code review work without a local .NET environment?

No, automated .NET code review requires a .NET environment to function. You also need access to the Claude Code or GitHub Copilot CLI to execute the automated multi-track analysis and generate review reports.