Rewrite AI-generated text to remove AI-specific language and cadence.
npx skills add https://github.com/magnusrodseth/dotfiles --skill humanize-magnusrodseth
Please help me install this Agent Skill. Skill: humanize Source: https://github.com/magnusrodseth/dotfiles/tree/main/.claude/skills/humanize Command: npx skills add https://github.com/magnusrodseth/dotfiles --skill humanize-magnusrodseth
This Skill rewrites AI-generated text to eliminate AI-specific language and cadence, resulting in more natural, human-like prose.
Use the humanize skill on the provided text: 'humanize this text'.
High-intent search queries and answers about installing and using this skill.
To rewrite AI-generated text to sound more human, this Skill removes AI-specific language and cadence, restoring human rhythm, sentence length variance, and active voice for improved readability. It processes text using predefined rewrite patterns and risk tiers.
Natural language processing detects and removes AI-specific language by applying text cleanup techniques against predefined rewrite patterns. This mechanism identifies machine-like cadence and replaces it with more natural, human-like prose.
Yes, you need Python and NLTK to clean up AI-generated prose, as this Skill requires Python and natural language processing capabilities. Pandas is also listed as a dependency for processing the text transformations.
The best way to transform machine-like text into natural prose is applying predefined rewrite patterns organized by risk tiers. This approach restores human rhythm and active voice while reducing the machine-like cadence of AI content.
AI-generated text sounds unnatural and lacks sentence length variance due to machine-like cadence and AI-specific language patterns. This Skill addresses these issues by applying targeted text cleanup to restore human rhythm and concreteness.
A limitation of using predefined rewrite patterns for prose transformation is that changes are restricted by established risk tiers. Text cleanup relies on these existing patterns rather than dynamically generating new linguistic structures from scratch.
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