code-review

Automated code review tools analyze git changes and apply stack-specific rules to identify issues in pull requests. This skill detects 19 supported technologies like React, Laravel, and Terraform, then reports findings with severity classifications and actionable fix recommendations.

Stack-aware static analysis reduces false positives by validating library API usage against live documentation and enforcing project consistency checks before flagging pattern violations. This ensures the review only applies relevant, stack-specific best practices rather than arbitrary rules.

Yes, automated code review can validate Clean Architecture, DDD, CQRS, and microservices patterns. The skill applies architectural pattern guidelines to your git changes and flags violations while checking existing project conventions to ensure consistency.

Severity-based reporting in code reviews classifies findings as Critical merge blockers, Warning items to fix soon, or Suggestion improvements for optional changes. This structured approach prioritizes security, performance, and architecture issues with clear, actionable fix recommendations.

Yes, the code review skill operates without external dependencies. It uses built-in stack detection to identify your project's tech stack from config files and applies internal rules for security, performance, and architectural pattern validation.

Generic static analysis tools often flag code matching existing project conventions because they enforce arbitrary patterns. This skill checks existing project conventions before flagging violations, ensuring pattern enforcement matches your actual codebase.