codebase-review

Automate six-aspect codebase reviews across parallel subagents with prioritized issue files.

3|2|Updated Jan 12, 2026
One-click install
npx skills add https://github.com/ukwhatn/.claude --skill codebase-review-ukwhatn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codebase-review
Source: https://github.com/ukwhatn/.claude/tree/main/skills/codebase-review
Command: npx skills add https://github.com/ukwhatn/.claude --skill codebase-review-ukwhatn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides automated, parallelized reviews of a codebase across six perspectives to surface prioritized issues and generate memory-stored remediation tasks.

Core Features & Use Cases

  • Parallel six-perspective codebase reviews (perf, sec, test, arch, cq, docs) executed concurrently by dedicated subagents.
  • Generates prioritized issue files in a memory directory for audit, remediation planning, and release readiness.
  • Supports memory-dir integration and multi-agent validation workflows for large repositories.

Quick Start

Start the codebase-review skill to perform a full-spectrum audit and produce memory and issue artifacts.

Frequently Asked Questions about codebase-review

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

FAQPage Schema
What is parallel codebase review and how does it work?

Parallel codebase review uses dedicated subagents to concurrently analyze a repository across six perspectives—performance, security, testing, architecture, code quality, and documentation—to surface and prioritize issues.

How do I automate a comprehensive codebase audit before release?

Automate a comprehensive codebase audit by orchestrating a parallel six-perspective review that writes prioritized issue files and memory artifacts for remediation planning and release readiness verification.

Does this parallel codebase review work for large repositories?

Yes, this parallel codebase review is designed for large repositories and supports memory-dir integration with multi-agent validation workflows to handle extensive code health monitoring and architecture assessments.

What's the best way to monitor ongoing code health across a large repository?

The best way to monitor ongoing code health is running concurrent multi-perspective subagent reviews that generate memory-stored, prioritized issue files for continuous tracking and remediation.

Can I integrate automated codebase review results with GitHub?

Yes, the automated codebase review workflow enforces a structured, multi-model validation process and includes optional GitHub integration to support tracking and managing the surfaced prioritized issues.

What aspects of a codebase are covered by a parallel six-way review?

A parallel six-way review covers performance, security, testing, architecture, code quality, and documentation, executing all perspectives concurrently to generate prioritized remediation tasks.