Does it support project-specific exclusions?

Yes, it integrates with a .inclusion-config.md file in the project root to respect scope decisions and skip previously acknowledged findings.

What categories of language does it check for?

It primarily focuses on gendered language, ableist terms, racially loaded metaphors, and dismissive language (like 'just' or 'obviously').

How does this differ from a standard linter?

While linters flag strings based on simple pattern matching, this skill uses AI to understand the context, intent, and audience, reducing false positives for brand names or technical terms.

Can it analyze both code and documentation?

Absolutely. It is designed to review variable names, comments, and error messages in code as well as the tone and accessibility of Markdown documentation.

Will it break my code automatically?

No, it is a diagnostic tool that provides suggestions and reasoning. It is intended to inform developers during the review process rather than perform automated refactoring.

Inclusive Code & Language Review

Name: Inclusive Code & Language Review
Author: hereinthehive

byhereinthehive

开发者工具

Analyzes codebases and documentation for non-inclusive language while prioritizing contextual understanding to provide thoughtful, ethical alternatives.

关于

This skill empowers developers to build more inclusive and accessible software by identifying biased, gendered, or exclusionary language within code and documentation. Unlike standard linters that merely match patterns, this tool leverages Claude's reasoning capabilities to evaluate intent and audience impact—distinguishing between harmful metaphors and legitimate technical or academic terminology. It integrates seamlessly with existing workflows by honoring project-specific configurations, ensuring that reviews are relevant, actionable, and focused on maintaining human dignity across the development lifecycle.

主要功能

Detection of dismissive language in documentation that creates barriers for learners.
0 GitHub stars
Intelligent differentiation between technical jargon and problematic metaphors.
Context-aware analysis of gendered, ableist, and racially loaded terminology.
Compact, actionable reporting with specific contextual suggestions for improvements.
Support for .inclusion-config.md to manage scope and acknowledged findings.

使用场景

Auditing public-facing documentation to ensure tone is welcoming and inclusive for all users.
Modernizing legacy codebases by identifying and replacing outdated or harmful variable naming conventions.
Peer review automation to catch exclusionary language before code reaches production.

关于

主要功能

Detection of dismissive language in documentation that creates barriers for learners.
0 GitHub stars
Intelligent differentiation between technical jargon and problematic metaphors.
Context-aware analysis of gendered, ableist, and racially loaded terminology.
Compact, actionable reporting with specific contextual suggestions for improvements.
Support for .inclusion-config.md to manage scope and acknowledged findings.

使用场景

Auditing public-facing documentation to ensure tone is welcoming and inclusive for all users.
Modernizing legacy codebases by identifying and replacing outdated or harmful variable naming conventions.
Peer review automation to catch exclusionary language before code reaches production.