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- Humanizer — Make AI Text Sound Human
Humanizer — Make AI Text Sound Human
Remove AI linguistic fingerprints and inject personality into sterile, machine-generated text.
$5
Works with the AI tools you already use
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
- Check the specific feature names to ensure the list is accurate for your release.
- Review the tone to ensure it matches your brand's technical style.
- Replace the generic "faster" with actual latency numbers if you have them.
Connects securely to your tools. The creator never sees your data.
What you get
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.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Recently published to Agensi
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Trust & safety
Security scanned
Verified clean 21 days ago
- Passed all security checks, Safe to install