codebase-review

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

3|2|Updated Jan 12, 2026

Search Tags:#automation #codebase #parallel #review #issues #memory-dir

Ready to run

npx skills add https://github.com/ukwhatn/.claude --skill codebase-review-ukwhatn

💬 Prompt for ChatGPT / Claude Chat▼

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.