What problem does it solve?
This Skill helps you review code for readability, conceptual flow, naming quality, and maintainability when the logic works but the story of the code is hard to follow. It is designed for situations where reviewers or future maintainers struggle to build a clear mental model from a single pass.
Core Features & Use Cases
- Narrative code review: Evaluates whether code introduces concepts in a sensible order, keeps a consistent point of view, and makes key decisions easy to find.
- Naming and API clarity: Detects misleading names, broken promise-versus-delivery patterns, and abstractions that confuse callers.
- Comment and structure audit: Separates useful explanatory comments from comments that merely compensate for unclear code, then prioritizes fixes such as renaming, reordering, extracting, inlining, or deleting.
- Use Case: Use it when a large pull request passes tests but still feels difficult to review, or when a module keeps being misused because its names and flow do not match what readers expect.
Quick Start
Ask the AI to perform a code narrative review of a file, function, or pull request and identify the protagonist, confusing moments, naming issues, and highest-priority edits.