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code-review

Review code with five AI agents and generate a Markdown report.

Updated Mar 7, 2026
Search Tags:#testing#architecture#code review#aws#python#gcp#ai agents
One-click install
npx skills add https://github.com/yasuwrldhyper/ai-skills-collection --skill code-review-yasuwrldhyper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/yasuwrldhyper/ai-skills-collection/tree/main/skills/code-review
Command: npx skills add https://github.com/yasuwrldhyper/ai-skills-collection --skill code-review-yasuwrldhyper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates in-depth code reviews by leveraging multiple specialized AI agents to identify issues across various domains like Python best practices, testing, architecture, and cloud configurations.

Core Features & Use Cases

  • Multi-Agent Parallel Review: Five distinct AI agents (Python, Test, Architect, AWS, GCP) review code concurrently.
  • Comprehensive Analysis: Covers code quality, testability, architectural soundness, and cloud-specific best practices.
  • Unified Report: Consolidates findings into a single Markdown report for easy consumption.
  • Use Case: Before merging a critical feature, run this skill on the new code to get a holistic review from experts, ensuring high quality and adherence to standards.

Quick Start

Run the code-review skill on the files located in the 'src/sample_app/' directory.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate Python code reviews for AWS and GCP best practices?▼

Automate Python code reviews by running parallel AI agents that analyze code for Pythonic quality, testability, architecture, and cloud-specific best practices, generating a consolidated Markdown report of findings and recommendations.

What is the best way to review code architecture and testability before merging?▼

Review code architecture and testability by deploying five specialized AI agents concurrently to examine the codebase, ensuring structural soundness and adherence to testing standards before a merge.

Can I use parallel AI agents to check Python code quality and cloud configurations?▼

Yes, you can use parallel AI agents to concurrently check Python code quality and verify AWS and GCP cloud configurations, receiving a unified report detailing all identified issues.

Does this code review approach identify architectural issues and non-Pythonic patterns?▼

Yes, this code review approach identifies architectural issues and non-Pythonic patterns by using dedicated AI agents to evaluate structural principles and Python-specific best practices simultaneously.

How to generate a consolidated Markdown report from parallel code reviews?▼

Generate a consolidated Markdown report from parallel code reviews by executing multiple specialized AI agents that consolidate their individual findings into a single document with actionable recommendations.

Are there limitations to using multi-agent code reviews for GCP and AWS configurations?▼

The multi-agent code review focuses specifically on AWS, GCP, Python, testing, and architectural principles, meaning it does not evaluate configurations or frameworks outside these predefined domains.

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