Enforce concise and unambiguous naming rules during code reviews and refactors.
npx skills add https://github.com/MMorit00/fund-portfolio-bot --skill naming-mmorit00
Please help me install this Agent Skill. Skill: naming Source: https://github.com/MMorit00/fund-portfolio-bot/tree/main/.claude/skills/naming Command: npx skills add https://github.com/MMorit00/fund-portfolio-bot --skill naming-mmorit00
Naming is a pervasive source of cognitive load and ambiguity in codebases. This skill defines naming conventions to keep code terse but unambiguous, reducing review time and navigation friction across modules.
Review and rename a class or function by applying the context-aware naming rules to ensure brevity and disambiguation.
High-intent search queries and answers about installing and using this skill.
Context-based disambiguation resolves naming clashes by ensuring class and function names reflect their specific context. This approach preserves domain nouns while removing redundant context, keeping identifiers concise yet unambiguous across different modules in your codebase.
The best way to reduce cognitive load with variable naming is to enforce concise, unambiguous identifiers. By applying domain-noun preservation and minimal suffix usage, you maintain readability and clarity across modules while avoiding over-verbosity during creation and code reviews.
Yes, this naming skill works for both new module creation and code reviews. It applies context-aware brevity rules during class, function, and variable creation, as well as during renaming refactors, ensuring explicit names that avoid clashes and maintain consistency across modules.
To rename classes and functions while avoiding over-verbosity, apply minimal suffix usage and non-redundant context rules. This guides renaming decisions during refactors by preserving domain nouns and ensuring identifiers remain terse but unambiguous across your codebase.
Minimal suffix usage improves code readability by preventing unnecessary verbosity in identifiers. By combining this with context-based disambiguation and domain-noun preservation, the naming process reduces ambiguity and cognitive load without sacrificing clarity across different modules.
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