Remove 27 AI-writing patterns from text to restore authentic voice.
npx skills add https://github.com/Cronan/claude-code-prompts --skill stet
Please help me install this Agent Skill. Skill: stet Source: https://github.com/Cronan/claude-code-prompts/tree/main/skills/stet Command: npx skills add https://github.com/Cronan/claude-code-prompts --skill stet
Stet identifies and removes a suite of AI-writing patterns that make text sound generic, helping authors recapture a distinctive voice.
Copy the stet skill into your repository and run /stet on your document.
High-intent search queries and answers about installing and using this skill.
To remove AI writing patterns from generated drafts, you can apply a prose-editing skill that detects and strips 27 specific structural, vocabulary, and polish patterns to restore authentic human voice while preserving meaning.
Prose editing for AI-assisted text is the process of identifying and removing generic AI-writing patterns to reintroduce personality, nuance, and author-specific cadence to articles and reports.
You make AI-generated copy sound like the original author by processing the text through a pattern-stripping tool that enforces varied rhythm and authentic authorial tone without overcorrecting the meaning.
Yes, you can use automated editing on AI-assisted reports without losing meaning, as the process preserves the original intent while removing 27 defined AI-writing patterns and avoiding overcorrection.
The main limitation of automated AI pattern removal is the risk of overcorrection, which is why the process specifically enforces a defined set of 27 patterns and preserves meaning to maintain text integrity.
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