Which programming languages does Naming Analyzer support?

It supports major languages including JavaScript, TypeScript, Python, Java, and Go, following their specific community-standard naming conventions.

Can it detect functions with misleading names?

Yes, it analyzes function behavior to identify names that imply a simple read-only action while performing complex state mutations or side effects.

Does this skill help with boolean naming?

Absolutely. It suggests clear prefixes like 'is', 'has', 'can', and 'should' to make the intent of boolean variables and properties obvious.

Can I run this on a specific file or the whole project?

You can target the analyzer at individual files, specific directories, or the entire project to get a comprehensive naming health report.

Naming Analyzer

Name: Naming Analyzer
Author: softaworks

bysoftaworks

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347

Herramientas para Desarrolladores

Audits and improves code readability by suggesting semantic and convention-aligned names for variables, functions, and classes.

Acerca de

The Naming Analyzer skill empowers developers to maintain high-quality, readable codebases by identifying problematic identifiers and suggesting more descriptive alternatives. It detects vague names, misleading labels, and inconsistent casing across various programming languages like JavaScript, Python, Java, and Go. By enforcing industry best practices and language-specific conventions, this skill ensures that code intent remains clear, significantly reducing cognitive load during code reviews and long-term maintenance tasks.

Características Principales

Detection of misleading names that obscure actual logic behavior
Automated reporting of inconsistent boolean prefixes and magic numbers
347 GitHub stars
Multi-language support for JS/TS, Python, Java, and Go conventions
Identification of vague variables and cryptic abbreviations
Context-aware suggestions for improving code searchability

Casos de Uso

Refactoring legacy codebases with inconsistent or cryptic naming patterns
Performing pre-code review audits to ensure identifiers meet project standards
Cleaning up technical debt by identifying functions with misleading side effects

Acerca de

Características Principales

Detection of misleading names that obscure actual logic behavior
Automated reporting of inconsistent boolean prefixes and magic numbers
347 GitHub stars
Multi-language support for JS/TS, Python, Java, and Go conventions
Identification of vague variables and cryptic abbreviations
Context-aware suggestions for improving code searchability

Casos de Uso

Refactoring legacy codebases with inconsistent or cryptic naming patterns
Performing pre-code review audits to ensure identifiers meet project standards
Cleaning up technical debt by identifying functions with misleading side effects