Text Humanizer

    by mochalatte

    1

    A precision editor that identifies and removes 24 specific AI-writing patterns to create natural, human prose.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Humanize this text in casual mode: The implementation of this feature stands as a testament to our commitment to innovation, showcasing a vibrant tapestry of technical excellence.

    Your agent does

    Rewritten

    I'm really proud of how this feature turned out. We spent a lot of time getting the technical details right, and it shows in the final build.

    Changes

    • Pattern 1: Removed "stands as a testament"
    • Pattern 3: Removed "-ing" analysis ("showcasing")
    • Pattern 7: Removed AI vocabulary ("vibrant tapestry")

    What you get

    Strip robotic filler and 'slop' from AI-generated marketing copy.Identify and replace the 24 most common statistical tells of AI writing.Batch scan and score local files for AI probability using Python scripts.Convert sterile AI drafts into opinionated, rhythmic human-sounding prose.

    About this skill

    The problem

    AI-generated text often feels robotic, overly formal, and predictable. Readers easily spot "slop" through repetitive vocabulary, inflated significance, and formulaic structures that lack a human pulse.

    What it does

    • Identifies 24 specific markers of AI writing based on the WikiProject AI Cleanup taxonomy.
    • Rewrites robotic prose into natural, rhythmic language while preserving the original meaning.
    • Removes common AI-isms like "testament to," "vibrant tapestry," and "pivotal moment."
    • Adjusts tone across six style modes including technical, academic, and marketing.
    • Injects "soul" by varying sentence length, adding specific opinions, and using first-person perspective where appropriate.

    Frameworks & tools

    Includes Python scripts for batch processing (detect.py, transform.py, compare.py) and an editable patterns.json rulebook.

    Why this beats prompting it yourself

    Generic "make this sound human" prompts usually just trade one type of AI fluff for another. This skill uses a rigorous 24-point technical audit to strip away specific statistical artifacts that generic prompting misses.

    Use cases

    • Convert AI-drafted technical documentation into readable developer guides.
    • Scrub "marketing slop" from AI-generated product descriptions and blog posts.
    • Audit academic abstracts to remove tell-tale chatbot artifacts and disclaimers.
    • Humanize internal business reports to sound like they came from a team member.

    Known limitations

    Requires Python for the optional batch scripts. Mechanical transforms cover 12 of 24 patterns, while complex style shifts require the LLM workflow.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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