Humanize Text

What Problem It Solves

In technical docs, support copy, and generated content, AI text often reads template-like: repeated structures, over-explanation, and overly polished phrasing. Humanize Skill focuses on one concrete task: removing AI tells so the prose feels closer to human writing. It does not claim to add facts, generate new material, or replace editorial judgment; it works on the language layer of existing text.

How the Skill Works

Based on the SKILL.md, the core action is to identify mechanical phrasing and rewrite it into more natural language. That means reducing repetitive sentence patterns, softening stiff formality, and removing unnecessary summaries that make output sound machine-generated. It can fit into a prompt workflow, content pipeline, or GitHub automation as a final pass before publishing. A practical loop is: read the source, locate templated expressions, rewrite for the target reader, and preserve technical terms.

Boundaries and Notes

This is best used for style-level cleanup of existing text, not for inventing missing details, adding claims, or replacing human review. For legal, medical, safety, or compliance content, keep a human sign-off. Preserve exact names such as API, GitHub, product names, and model names; do not rewrite technical identifiers just to sound casual.