de-ai-writing
Skill2 starsChanged 48 days agoMITView on GitHub
Rewrite text so it has no signs of AI writing, using Wikipedia's "Signs of AI writing" field guide (em-dash overuse, "not just X, it's Y", "serves as", "delve/crucial/pivotal/tapestry", puffed-up significance, promotional tone, vague attributions, "it's important to note", "In conclusion", Title Case headings, bold-label bullet lists, chatbot leftovers). Use this whenever someone wants content de-AI'd, humanised, made to "sound less like ChatGPT/AI", "less robotic", cleaned of AI tells, or checked for signs of AI writing before publishing, including blog posts, web copy, FAQs, emails, essays, LinkedIn posts, product pages, docs and whole websites or repos of content. Also use it when polishing a draft the user says came from an AI.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- processmission/agent-skillstheir own version, first seen Oct 13, 2026
- Ayiming12/skillstheir own version, first seen Oct 13, 2026
- Mochocyang/QMAItheir own version, first seen Oct 9, 2026
- OUBIGFA/De-AI-Prompt-Enhancer-Writer-Booster-SKILLtheir own version, first seen Oct 8, 2026
- renky1025/agent-skillstheir own version, first seen Sep 25, 2026
- caojunjie0706-eng/agent-skillstheir own version, first seen Aug 7, 2026
Used with
Projects with it also use good-writing.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Ayiming12Skillgood-writing
复现特定作者中文写作风格的轻量 Skill。用于从零写作、改写、终稿精修、风格审阅和结构保真翻译。默认先读风格摘要,不再启动时通读完整范文或大型检测清单。
Also in 3 projects that use this
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- Mochocyang/QMAI★ 868same name
- OUBIGFA/De-AI-Prompt-Enhancer-Writer-Booster-SKILL★ 853same name
- renky1025/agent-skills★ 11same name
- processmission/agent-skills★ 5same name
- Intern4711/Better_Humanizer★ 2same name
- Ayiming12/skills★ 1same name
- caojunjie0706-eng/agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- CLAUDE.mdCLAUDE.md
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 28
Scan it: If you can run code, use the bundled scanner for a baseline:
- Distinctive: line 49
Unknowns: if the original says something isn't known, keep that honesty, but say it once, concretely, with what the reader should do …
- Distinctive: line 56
Re-scan and re-read: Run the scanner again and aim for zero hits.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
De-AI writing
Rewrite content so it reads as written by a knowledgeable person, by removing the patterns catalogued
in Wikipedia's Signs of AI writing (WikiProject AI Cleanup). The full catalogue, with words to
watch and a before/after fix for each sign, is in references/signs.md. Read it before the first
rewrite in a session; it is the source of truth for what counts as a sign.
Why this works the way it does
The Wikipedia guide makes a point worth holding on to: the signs are symptoms. Language models regress to the most statistically common phrasing, so specific facts get smoothed into generic, important-sounding statements. Swapping a flagged word for a synonym, or an em dash for an en dash, hides the symptom and keeps the problem. The aim is text that says specific things plainly. When you fix a sentence, fix what it is doing (puffing up, hedging, correcting a misconception nobody raised), not just the word that tripped the scanner.
Workflow
- Get the text. Pasted text, a file, a folder of files, or a built website. For a codebase or site, find where the copy actually lives (data files, CMS exports, templates) and edit there, not in generated output.
- Scan it. If you can run code, use the bundled scanner for a baseline:
It reports each matching sentence under its sign number. It catches pattern-matchable signs only. Rule of three, elegant variation, puffed-up structure and summary endings need your own read. Without code execution, do the same pass by hand usingpython3 scripts/check_ai_signs.py <file(s)> # .txt, .md or .html; "-" reads stdin python3 scripts/check_ai_signs.py <file> --summaryreferences/signs.md. - Rewrite. Go sentence by sentence through everything flagged, then read the whole piece once
more for the judgement signs. Rules for the rewrite:
- Keep every fact, number, name, date, link and claim. De-AI'ing changes how things are said, never what is said. If a sentence was only padding, delete it; if it carried a fact, keep the fact.
- Keep the author's voice and conventions: person (I/we/you), spelling (UK/US), tone, formatting system (Markdown, HTML, JSX, plain text), and any length limits (SEO titles ~60 characters, meta descriptions ~155, button labels).
- Never alter quotations of real people or sources, titles of works, or legal text.
- Em dashes: rewrite with commas, colons, parentheses or full stops. Don't substitute another dash. One or two in a long piece is fine.
- Contrasts ("not X but Y", "rather than", "not just… it's"): state the positive claim on its own unless a reader genuinely would assume the opposite.
- Unknowns: if the original says something isn't known, keep that honesty, but say it once, concretely, with what the reader should do ("Hours aren't posted; call ahead"). Don't pad it with speculation.
- Plain words: is/has instead of serves as/boasts; used, tried, moved, to, before.
- Don't over-correct. Perfect grammar, formal register, a single transition word or an unsourced claim are not signs (see section 7 of the reference). Leave clean sentences alone.
- Re-scan and re-read. Run the scanner again and aim for zero hits. A hit you keep on purpose (a quotation, a proper noun like "Key Largo", a word used literally, such as "landscape" for a painting) is fine; note it in your report.
- Report briefly. Give the rewritten text (or confirm files were edited), then a short note: sign counts before → after, two or three representative before/after examples, and anything left in deliberately. Keep the note short; the rewrite is the deliverable.
Quick reference
The signs, in brief (details and fixes in references/signs.md):
| # | Sign | Typical tells |
| 1.1 | Undue significance / legacy | stands as, testament, pivotal role, reflects broader, enduring legacy |
| 1.2 | Canned notability | featured in, independent coverage, active social media presence |
| 1.3 | Superficial -ing analysis | "…, highlighting/ensuring/reflecting…", valuable insights |
| 1.4 | Promotional tone | vibrant, nestled, in the heart of, boasts, world-class, seamless |
| 1.5 | Vague attribution | experts say, observers note, studies show, widely regarded |
| 1.6 | Challenges formula | "Despite its…, faces challenges… Despite these challenges…" |
| 1.7 | Title-defining lead | "X refers to…" |
| 2.1 | AI vocabulary | additionally, crucial, delve, enhance, foster, key, landscape, robust, tapestry |
| 2.2 | Copula avoidance | serves as, functions as, represents, features/offers (for "has") |
| 2.3 | Vague association | associated with, in connection with |
| 2.4 | Negative parallelism | not only…but, it's not X it's Y, no X no Y just Z, rather than |
| 2.5 | Rule of three | stacked triplets used for rhythm |
| 2.6 | Elegant variation | synonym cycling for one noun |
| 3.1–3.8 | Formatting | Title Case headings, bold everywhere, Label: bullets, em dashes, emoji, tiny tables, mixed curly quotes, --- between sections |
| 4.1–4.3 | Chat leftovers | I hope this helps, let me know, "not widely documented", [Your Name] |
| 5.1–5.2 | Older habits | it's important to note, may vary, In conclusion, Overall |
Example
Input
Nestled in the heart of the city, our café stands as a testament to the town's rich cultural heritage — it's not just a coffee shop, it's a gathering place. Additionally, the menu boasts a diverse array of pastries, showcasing our commitment to quality. While specific details about opening hours are not widely documented, it's important to note that hours may vary.
Output
Our café is on the main square, in a building that has been a bakery since 1911. People come for the coffee and stay for hours. We bake about twenty kinds of pastry each morning. Opening hours change with the seasons, so check our Instagram before you visit.
(The details "1911", "twenty kinds" and "Instagram" would come from the user. If the facts aren't available, ask, or write the plain version without them: "Our café is on the main square. We bake pastries every morning. Hours change with the seasons, so check before you visit." Never invent facts to replace puffery.)
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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