elbow-grease

Automated code review for a pull request is handled by applying systematic analysis with specialized sub-agents to identify logic, design, and test quality issues. You can initiate the process by running the skill with the 'pr' argument to analyze your pull request changes.

Systematic code analysis using sub-agents is a multi-phase review method where multiple specialized agents analyze code from different perspectives. This approach performs in-depth checks on logic, design, architecture, idiomatic use, and test quality to produce actionable findings.

You can review staged changes or a specific branch by passing the appropriate argument such as 'branch' or staged changes scope. The skill handles various review scopes including PRs, branches, files, or staged changes to fit your incremental workflow.

To re-review code efficiently after applying fixes, use the incremental review mode. This mode analyzes only the updated portions of the codebase, saving time and reducing redundant checks while still providing systematic analysis and actionable findings.

Systematic code review works with large codebases by coordinating multiple sub-agents for parallel analysis. This sub-agent architecture ensures in-depth code quality checks across logic, architecture, and tests without being bottlenecked by the size of the changes.