review:quality

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.

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.

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.

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.

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.

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.