naming-helper

To ensure consistent code identifiers when refactoring, this Skill scans your local codebase to infer existing case styles and domain vocabulary. It then proposes new names that match the verb register and cardinality patterns of sibling functions, preventing naming drift.

An intention-revealing identifier clearly communicates its purpose without noise words. This Skill evaluates proposed names against a strict quality bar to ensure terminology is searchable, non-misleading, and perfectly aligned with your project's domain vocabulary.

You can audit API names and configuration keys for clarity by applying this Skill's quality auditing feature. It validates proposed identifiers against a quality bar that prioritizes intention-revealing, searchable, and non-misleading terminology within your project.

Yes, you can use this Skill on a codebase with mixed case styles. The convention inference mechanism operates by scanning the surrounding code to detect existing case styles and domain vocabulary, providing context-aware naming candidates that fit your local environment.

No, naming consistency checking requires no external dependencies or setup. The Skill operates independently with no required components, directly inferring existing case styles and domain vocabulary from the local codebase to provide context-aware suggestions.

Naming drift occurs when new functions fail to match the existing verb register and cardinality patterns. This Skill prevents drift by inferring local codebase conventions and validating suggestions against a strict quality bar for intention-revealing, searchable terminology.