review:quality

Automate judgment-based code quality reviews with tiered checks and CORE guidance.

1|Updated Oct 21, 2016

Search Tags:#architecture #consistency #patterns #quality-assurance #coding-standards #code-review

Ready to run

npx skills add https://github.com/jasonkuhrt/dotfiles --skill review-quality-jasonkuhrt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review:quality
Source: https://github.com/jasonkuhrt/dotfiles/tree/main/claude/skills/review_quality
Command: npx skills add https://github.com/jasonkuhrt/dotfiles --skill review-quality-jasonkuhrt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates judgment-based code quality reviews to enforce consistency and architectural integrity during code reviews.

Core Features & Use Cases

Judgment-based consistency checks
Architecture and conventions validation
Use Case: In a pull request, run the quality tier to surface pattern violations and architectural concerns for quicker remediation.

Quick Start

Set the review context and execute the CORE guidance: TIER=quality, SCOPE=here, GROUP=(inferred). Then follow ~/.claude/skills/review_/CORE.md for execution.

Frequently Asked Questions about review:quality

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

FAQPage Schema

How do I automate code reviews for pattern consistency and architectural integrity?▼

You can automate code reviews by setting the review context to enforce pattern consistency and architectural checks. Configure the quality tier, scope, and group parameters to surface violations and architectural concerns for quicker remediation during pull requests.

What is judgment-based code quality assurance and how does it work?▼

Judgment-based code quality assurance validates coding standards and conventions across a scoped codebase. It applies tiered checks to identify pattern violations and architectural deviations, ensuring structural integrity without relying solely on automated linting rules.

How do I set the review context to run an automated code quality check?▼

To run an automated code quality check, set TIER to quality, SCOPE to your target directory, and let GROUP be inferred. Follow the core guidance file to execute standardized assessments and apply tiered checks across the in-scope codebase.

Can I validate architecture and conventions across my entire codebase?▼

Yes, you can validate architecture and conventions by defining the scope parameter to cover your target codebase. The skill performs judgment-based consistency checks to enforce architectural integrity and identify pattern violations within the specified boundaries.

What is the best way to enforce coding standards during a pull request?▼

The best way to enforce coding standards during a pull request is running the quality tier to surface pattern violations and architectural concerns. This automates judgment-based reviews for quicker remediation of consistency issues before merge.

When should I not use automated judgment-based code reviews?▼

Automated judgment-based code reviews are not suited for superficial syntax formatting or simple style checks better handled by linters. Use this approach when you need deeper architectural integrity validation and pattern consistency checks across scoped code.