What problem does it solve? Codebases accumulate inconsistent naming, formatting, and file organization over time, making reviews harder and maintenance riskier. This Skill standardizes code to the project's dominant (or user-declared) style while guaranteeing that no semantic behavior changes. ## Core Features & Use Cases - Dominant Pattern Detection: Analyzes the existing codebase to discover the prevailing conventions for naming, indentation, import order, and comment style instead of imposing a foreign style. - Gated Batch Application: Groups inconsistencies into cohesive batches and shows a diff for each one, requiring explicit user approval before any code is touched. - Rename Safety Net: Treats renames as reference-sensitive operations, performing full usage scans or tool-assisted safe renames, and runs the test suite afterward as proof that semantics are preserved. - Use Case: A team inherits a Python project mixing camelCase and snake_case functions. The skill detects snake_case as dominant, proposes batched rename diffs, applies them only after approval, and confirms with a green test run. ## Quick Start Run /reversa-standardize after /reversa-refactor has been set up, optionally passing an opportunity ID like OPP-003, and approve each proposed diff batch to standardize the code.
