ce-review

A multi-agent code review on a pull request is executed by coordinating parallel agents that analyze security and quality. This skill orchestrates ultra-thinking analysis to identify edge-case issues and delivers structured findings as todos for triage.

A git-worktree isolated review session is a safe context switching mechanism for analyzing feature branches. It enables parallel agent collaboration across large codebases without interfering with your primary working directory.

Yes, multi-agent code reviews can be applied to specific changed files in large codebases. The skill coordinates exhaustive analysis to improve security, quality, and maintainability by targeting feature branches or isolated worktrees.

Ultra-thinking improves code security and maintainability analysis by leveraging multiple agents to deeply evaluate edge-case issues. This multi-agent approach ensures exhaustive review coverage rather than relying on single-pass scanning.

The best way to triage code review findings from multiple agents is through structured reporting integrated with a to-do workflow. This skill delivers findings directly as todos, allowing you to systematically address identified security and quality issues.

No dependencies are required to set up and run exhaustive parallel code reviews. The skill operates independently to coordinate multi-agent analysis, utilizing git-worktree integration for isolated context without needing external components.