humanize

To make README documentation sound less robotic, use this Skill to detect common AI-generated writing patterns and suggest tone fixes for a more natural, approachable style. It targets stiff language to improve user-facing content engagement.

The best way to enforce terminology rules in project documentation is applying automated editing checks that ban vague terms like "AI" and enforce specific replacements. This ensures your public-facing content maintains descriptive language consistency.

Yes, you can use automated editing to fix robotic tone in code comments. This Skill specifically removes overly formal language and buzzwords from code comments intended for public consumption, ensuring they sound natural and human-written.

Your open-source package description sounds stiff due to common AI-generated writing patterns. You can fix it by applying this Skill to remove buzzword-laden language and enforce specific, descriptive terminology for better contributor engagement.

Yes, this content editing approach works specifically for public-facing documentation. It analyzes READMEs, code comments, and package descriptions to remove robotic language and ensure your text sounds human-written before public release.

You should not use a humanizer for documentation editing when your content requires strict formal compliance or technical precision where altering terminology might violate established standards. It is built for user-facing clarity rather than internal technical specifications.