wshobson Full Review Workflow

Name: wshobson Full Review Workflow
Availability: InStock
Author: rbkayz

Orchestrate multi-agent code reviews for quality, security, architecture, and performance.

Updated Feb 16, 2026

Search Tags:#workflow #tdd #architecture #code review #performance #security audit

Ready to run

npx skills add https://github.com/rbkayz/gitskills --skill wshobson-full-review-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wshobson Full Review Workflow
Source: https://github.com/rbkayz/gitskills/tree/main/skills/registry/wshobson-full-review
Command: npx skills add https://github.com/rbkayz/gitskills --skill wshobson-full-review-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates and standardizes the process of conducting comprehensive code reviews by leveraging specialized AI agents for different aspects of code quality, security, architecture, and testing.

Core Features & Use Cases

Multi-Agent Review: Utilizes distinct agents for code quality, security, architecture, and performance analysis.
TDD Compliance: Optionally enforces and verifies Test-Driven Development practices.
Consolidated Reporting: Aggregates findings into a structured report categorizing issues by severity.
Use Case: A development team can use this Skill to ensure new code contributions meet high standards across multiple critical dimensions before merging, improving overall software quality and reducing technical debt.

Quick Start

Execute a comprehensive code review for the provided codebase using the full review workflow.

Frequently Asked Questions about wshobson Full Review Workflow

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

FAQPage Schema

How do I automate a comprehensive code review for security, architecture, and performance?▼

You can automate a comprehensive code review by orchestrating a multi-agent workflow that deploys distinct AI agents to assess code quality, security, architecture, and performance, generating a consolidated report with actionable feedback.

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

A multi-agent code review workflow utilizes specialized AI agents to analyze different aspects of code quality, security, architecture, and performance, aggregating their findings into a structured report categorized by issue severity.

How do I verify TDD compliance during an automated code review?▼

You can verify TDD compliance during an automated code review by enabling the optional TDD compliance verification feature, which enforces and checks Test-Driven Development practices within the workflow.

Can I use this automated code review process to reduce technical debt before merging?▼

Yes, using an automated multi-agent code review process ensures new code contributions meet high standards across multiple critical dimensions before merging, improving software quality and reducing technical debt.

Does the multi-agent code review workflow require external dependencies or tools?▼

No, the multi-agent code review workflow does not require external dependencies, as it integrates with specialized agents via a Task tool for deterministic analysis and operates independently.

What is the best way to categorize code review issues by severity?▼

The best way to categorize code review issues by severity is to use a consolidated reporting mechanism that aggregates findings from specialized agents into a structured report, categorizing issues by severity for actionable feedback.