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Remove AI-generated jargon and restore human voice to text. Built from analyzing 1,000+ AI vs human content pieces.
Passed 15 of 20 test cases with the skill, and 5 of 20 without it.
and 10 more in the full report
12 fixed5 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need a fast, single-pass cleanup of `copy/social_post.txt` to remove obvious AI phrasing before posting to social media. I don't need scores or detailed change logs, just a fast cleanup.
| Checked | Without skill | With skill |
|---|---|---|
| Selects the quick processing mode. | Missed | Passed |
| Omits score calculations from the output. | Passed | Passed |
The instructions your model reads when the skill loads.
Remove AI-generated patterns and restore natural human voice to your writing.
Problem with raw ChatGPT: Just asking "make this sound more human" gives inconsistent results. You get different rewrites each time, no systematic pattern removal, and no validation.
This skill provides:
You can replicate this with ChatGPT if you: Include all 47 patterns, build a scoring system, track changes manually, and spend 15 minutes per doc. This skill does it in 30 seconds.
Detect from context or ask: "Quick pass, full cleanup, or match a specific voice?"
| Mode | What you get | Best for |
|---|---|---|
quick | Remove obvious AI patterns, single pass, no scoring | Blog posts, quick social copy |
standard | Full 47-pattern scan + human score (0–10) + change log | Any content going public |
deep | Full scan + voice calibration against a sample of the writer's actual work | Ghostwriting, brand voice-matched content |
Default: standard — use quick for fast edits. Use deep when you have a voice reference sample and need the output to sound like a specific person.
/de-ai-ify <file_path>
Or with mode flag:
test cases passed, vs 5 / 20 without
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