Automated Code Review Manager

About

The Requesting Code Review skill provides a structured framework for integrating high-quality peer review into the AI development lifecycle. By automating the dispatch of specialized 'code-reviewer' sub-agents, it ensures that every task, feature, or refactor is validated against technical requirements and project plans. It leverages Git SHA tracking to pinpoint changes and provides a clear feedback loop for fixing critical issues, managing minor improvements, and maintaining a high standard of code integrity before merging into production branches.

Key Features

• Structured feedback categorization into critical, important, and minor issues
• Requirement validation against external project plans and documentation
• 0 GitHub stars
• Automated sub-agent dispatching for specialized code analysis
• Git-based change tracking using BASE and HEAD SHA references
• Conflict resolution protocols for technical disagreements with AI reviewers

Use Cases

• Validating individual task completion within sub-agent driven development cycles
• Conducting baseline checks before and after complex code refactors
• Final validation of implementation requirements before merging to the main branch