humanizer
Skill4 starsChanged 7 months agoMITView on GitHub
Remove common signs of AI-generated writing and rewrite text so it sounds more natural, specific, and human. Use when editing drafts that feel generic, over-polished, overly promotional, repetitive, or obviously AI-written.
188 other projects use a version of this.
Adopted by
Most recently taken up by
- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- chrisleekr/skillstheir own version, first seen Nov 8, 2026
- xhqing/CommunityManagerAgenttheir own version, first seen Nov 8, 2026
- CloudChef/atlasclaw-providerstheir own version, first seen Nov 8, 2026
- Fractera/Agent-Engineering-Infrastructuretheir own version, first seen Nov 8, 2026
- Fractera/Agentic-Engineering-Infrastructuretheir own version, first seen Nov 8, 2026
Used with
Projects with it also use economy-mode, personal-voice and 10 more.
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.
Microsoft AzureSkilleconomy-mode
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- +9 more from Azure
Other versions188 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 188
- NousResearch/hermes-agent★ 262ksame name
- blader/humanizer★ 63ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- rommapp/romm★ 14ksame name
- github/gh-aw★ 5.6ksame name
- latitude-dev/latitude-llm★ 4.7ksame name
- github/squad★ 3.4ksame name
- compozy/compozy★ 2.9ksame name
- SRombauts/SQLiteCpp★ 2.8ksame name
178 more not listed
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 repository4 other files it gives its agents.
- anthropic-managed-agentsSkill
- hermes-skill-hygiene-reviewSkill
- moat-analyzerSkill
- vibe-auditSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
20 rules. 0 are common, 20 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
20
Distinctive
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 12
When given text to humanize:
- Distinctive: line 20
Do not make the writing louder just to make it feel human.
- Distinctive: line 70
Remove ad copy unless the user explicitly wants ad copy.
- Distinctive: line 110
If no source is available, remove the claim instead of padding it.
- Distinctive: line 132
Prefer simpler language when it says the same thing better.
- Distinctive: line 147
not just X, but Y
- Distinctive: line 148
not merely X, but Y
- Distinctive: line 167
If three items are real and useful, keep them.
- Distinctive: line 191
Remove lines that sound like chatbot conversation rather than actual writing.
- Distinctive: line 250
Keep the original meaning
- Distinctive: line 251
Keep the right tone for the context
- Distinctive: line 252
Do not invent facts, sources, or statistics
- Distinctive: line 253
Do not make formal writing casual unless the user asks
- Distinctive: line 254
Do not add humor unless it fits
- Distinctive: line 255
Do not make everything sound like marketing
- Distinctive: line 256
Prefer concrete details over abstract claims
- Distinctive: line 257
Prefer simple sentence construction when it reads better
- Distinctive: line 261
Read the text once for meaning
- Distinctive: line 264
Read the result out loud mentally
- Distinctive: line 275
Before finalizing, judge the rewrite on these five dimensions:
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Humanizer
Rewrite text so it sounds like a real person wrote it. Keep the meaning intact, preserve the intended tone, and remove the patterns that make writing feel synthetic.
Core job
When given text to humanize:
- Identify obvious AI writing patterns
- Rewrite the weak sections
- Preserve the original meaning
- Match the intended voice and context
- Make the writing sound like it has an actual person behind it
Do not make the writing louder just to make it feel human. The goal is not "more dramatic." The goal is more natural, more specific, and less artificial.
What to fix
1. Inflated importance
Watch for language that makes ordinary facts sound historic, profound, or symbolic.
Examples to cut or simplify:
- serves as
- stands as
- is a testament to
- pivotal moment
- significant milestone
- underscores the importance
- reflects a broader trend
- marks a shift
- evolving landscape
- lasting legacy
- key turning point
Bad:
This update marks a pivotal moment in the evolution of team productivity.
Better:
This update adds batch actions and cuts a few repetitive steps.
2. Fake depth with "-ing" phrases
Cut trailing phrases that pretend to add insight without saying much.
Watch for:
- highlighting
- underscoring
- emphasizing
- ensuring
- reflecting
- symbolizing
- contributing to
- fostering
- showcasing
Bad:
The redesign improves navigation, ensuring users can move through the interface more efficiently.
Better:
The redesign makes navigation simpler.
3. Promotional language
Remove ad copy unless the user explicitly wants ad copy.
Watch for:
- vibrant
- rich
- stunning
- remarkable
- groundbreaking
- powerful
- seamless
- intuitive
- must-visit
- breathtaking
- world-class
- cutting-edge
Bad:
The platform delivers a seamless and powerful experience.
Better:
The platform is faster and easier to use.
4. Vague attribution
Replace fuzzy authority claims with specifics, or cut them.
Watch for:
- experts say
- some critics argue
- observers note
- reports suggest
- many believe
- industry experts
Bad:
Experts believe this approach will change the industry.
Better:
The company says this cut onboarding time by 28 percent.
If no source is available, remove the claim instead of padding it.
5. Overused AI vocabulary
These words are not banned, but they’re overrepresented in AI writing and should trigger a closer look:
- additionally
- crucial
- delve
- enhance
- fostering
- highlight
- intricate
- key
- landscape
- pivotal
- showcase
- testament
- underscore
- valuable
- vibrant
Prefer simpler language when it says the same thing better.
6. Copula avoidance
AI often dodges simple words like "is" and "has" in favor of puffed-up phrasing.
Bad:
The gallery serves as a hub for contemporary work and features over 3,000 square feet.
Better:
The gallery is a contemporary art space with 3,000 square feet.
7. Negative parallelisms
Cut patterns like:
- not just X, but Y
- not merely X, but Y
- it’s not about X, it’s about Y
Bad:
It’s not just a tool, it’s a revolution in how teams collaborate.
Better:
It’s a collaboration tool with better search and fewer clicks.
8. Forced rule-of-three phrasing
AI loves neat little trios.
Bad:
The event offers insight, inspiration, and innovation.
Better:
The event includes talks, panels, and time to meet people.
If three items are real and useful, keep them. If they exist only to sound polished, rewrite.
9. Synonym cycling
AI often keeps changing labels to avoid repetition.
Bad:
The founder built the product. The entrepreneur refined the platform. The creator launched the company.
Better:
The founder built the product, refined it, and launched the company.
10. Em dash overuse
Replace most em dashes with periods, commas, or parentheses.
Bad:
The feature is useful, especially for small teams, because it reduces setup time.
Better:
The feature is especially useful for small teams because it reduces setup time.
11. Chatty assistant residue
Remove lines that sound like chatbot conversation rather than actual writing.
Watch for:
- Great question
- Of course
- I hope this helps
- Let me know if you want
- Here’s an overview
- You’re absolutely right
12. Filler and hedging
Trim phrases like:
- in order to
- due to the fact that
- at this point in time
- it is important to note
- has the ability to
- could potentially
- might perhaps
Bad:
In order to improve performance, the system has the ability to cache responses.
Better:
To improve performance, the system can cache responses.
13. Generic upbeat endings
Cut vague wrap-ups that say nothing.
Bad:
The future looks bright as the company continues its journey.
Better:
The company plans to open two more locations this year.
Add actual voice
Removing AI patterns is only half the job. If the result is sterile, it still feels fake.
Improve the writing by:
- varying sentence length naturally
- using specific nouns and verbs instead of abstractions
- allowing a little personality when the context supports it
- keeping some edge, opinion, or texture if it fits the author’s voice
- choosing clarity over polish
Human writing can be clean without sounding machine-made.
Bad:
The results were interesting and raised important questions.
Better:
The results were messy, but hard to ignore.
Rewrite rules
- Keep the original meaning
- Keep the right tone for the context
- Do not invent facts, sources, or statistics
- Do not make formal writing casual unless the user asks
- Do not add humor unless it fits
- Do not make everything sound like marketing
- Prefer concrete details over abstract claims
- Prefer simple sentence construction when it reads better
Workflow
- Read the text once for meaning
- Mark the phrases that sound synthetic
- Rewrite those sections, not just individual words
- Read the result out loud mentally
- Tighten anything that still sounds canned or overbuilt
Output format
Provide:
- The rewritten text
- A short list of the biggest changes, if useful
Quality check
Before finalizing, judge the rewrite on these five dimensions:
| Dimension | What to check | Score |
| Directness | Says what it means without throat-clearing | /10 |
| Rhythm | Sentence lengths vary naturally | /10 |
| Trust | Respects the reader and avoids hand-holding | /10 |
| Authenticity | Sounds like a person, not a content machine | /10 |
| Refinement | No obvious filler left | /10 |
| Total | /50 |
Guideline:
- 45-50 = solid
- 35-44 = needs another pass
- below 35 = rewrite again
Does it work?
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