Humanizer — Make AI Text Sound Human

    1

    Remove AI linguistic fingerprints and inject personality into sterile, machine-generated text.

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    Humanizer — Make AI Text Sound Human

    Example session with this skill installed

    Humanize this: The new API serves as a testament to our commitment to innovation. It offers a seamless, robust, and intuitive experience—ensuring developers can delve into the intricacies of our data.

    • Read your context and instructions
    • Compiled the humanizer

    I've stripped the promotional filler and AI-isms, replacing them with direct language.

    Humanized text

    The new API includes better documentation, a simplified auth flow, and faster endpoint responses. These updates help developers query and filter our datasets more quickly than the previous version.

    Next steps

    1. Check the specific feature names to ensure the list is accurate for your release.
    2. Review the tone to ensure it matches your brand's technical style.
    3. Replace the generic "faster" with actual latency numbers if you have them.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    AI-generated text often feels sterile, repetitive, and bloated with recognizable patterns like "testament to" or "evolving landscape." This "AI slop" triggers distrust in readers and can lead to content being flagged or dismissed as low-effort.

    What it does

    • Detects and replaces high-frequency "AI vocabulary" such as "delve," "tapestry," and "underscore."
    • Rewrites superficial present-participle phrases that add fake depth to sentences.
    • Eliminates formulaic structures like the "Rule of Three" and excessive em dash usage.
    • Converts vague weasel words and "industry experts" claims into concrete, specific statements.
    • Injects personality and varied sentence rhythm to move beyond neutral, robotic reporting.

    Why this beats prompting it yourself

    A simple "make this sound human" prompt usually just swaps a few adjectives. This skill uses a systematic taxonomy of over 20 specific linguistic markers identified by the WikiProject AI Cleanup to surgically strip out algorithmic fingerprints while preserving your core message.

    Use cases

    • Refining blog posts to avoid SEO penalties for AI-generated content.
    • Editing technical documentation to remove fluff and promotional filler.
    • Converting generic AI-drafted emails into authentic personal outreach.
    • Polishing Wikipedia entries or reports to meet high standards of neutrality and sourcing.

    Known limitations

    Requires the user to provide specific facts if the original text uses vague placeholders. It cannot invent real-world data to replace AI hallucinations.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Humanizer Skills.

    Cannot invent factual data to replace vague AI claims. Works best when provided with source material to ground the rewrites.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Listed2 months ago
    Updated29 days ago

    What's inside

    Frequently Asked Questions

    While many prompts just swap synonyms, this skill uses a specific taxonomy of over 20 linguistic markers to dismantle robotic sentence structures and repetitive patterns common to large language models.

    This skill is designed to integrate seamlessly with most major LLMs (like GPT-4, Claude, and Gemini) and can be added to your workspace as a specialized custom instruction or standalone workflow.

    You will receive the proprietary system logic and usage instructions, along with a guide on how to apply the skill to your existing AI writing workflows.

    Yes, the skill is periodically updated to account for new linguistic patterns identified in emerging AI models, ensuring your content stays ahead of detection trends.

    The skill specializes in removing linguistic fluff, but it cannot verify facts; if your original text contains AI hallucinations or placeholders, you will need to provide the correct data manually.

    New in Writing & Content