agentleFS
BadTechBanditBadTechBandit/skills/humanizer/SKILL.md

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

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 AzureSkill

    economy-mode

    Shifts Layer 3 model selection to cost-optimized alternatives when economy mode is active.

    Also in 4 projects that use this

  • petermuirurithuoSkill

    personal-voice

    Captures the user's personality, communication style, and values. Use this skill whenever responding to the user, drafting anything on their behalf (emails, CVs, messages, opinions, explanations), or whenever tone, word choice, or how an opinion is delivered matters. Apply it by default for any prompt, not only when the user explicitly asks for "my style" or "my voice.

    Also in 3 projects that use this

  • Microsoft AzureSkill

    architectural-proposals

    How to write comprehensive architectural proposals that drive alignment before code is written

    Also in 3 projects that use this

  • +9 more from Azure

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
  1. Distinctive:

    When given text to humanize:

    line 12
  2. Distinctive:

    Do not make the writing louder just to make it feel human.

    line 20
  3. Distinctive:

    Remove ad copy unless the user explicitly wants ad copy.

    line 70
  4. Distinctive:

    If no source is available, remove the claim instead of padding it.

    line 110
  5. Distinctive:

    Prefer simpler language when it says the same thing better.

    line 132
  6. Distinctive:

    not just X, but Y

    line 147
  7. Distinctive:

    not merely X, but Y

    line 148
  8. Distinctive:

    If three items are real and useful, keep them.

    line 167
  9. Distinctive:

    Remove lines that sound like chatbot conversation rather than actual writing.

    line 191
  10. Distinctive:

    Keep the original meaning

    line 250
  11. Distinctive:

    Keep the right tone for the context

    line 251
  12. Distinctive:

    Do not invent facts, sources, or statistics

    line 252
  13. Distinctive:

    Do not make formal writing casual unless the user asks

    line 253
  14. Distinctive:

    Do not add humor unless it fits

    line 254
  15. Distinctive:

    Do not make everything sound like marketing

    line 255
  16. Distinctive:

    Prefer concrete details over abstract claims

    line 256
  17. Distinctive:

    Prefer simple sentence construction when it reads better

    line 257
  18. Distinctive:

    Read the text once for meaning

    line 261
  19. Distinctive:

    Read the result out loud mentally

    line 264
  20. Distinctive:

    Before finalizing, judge the rewrite on these five dimensions:

    line 275

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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:

  1. Identify obvious AI writing patterns
  2. Rewrite the weak sections
  3. Preserve the original meaning
  4. Match the intended voice and context
  5. 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

  1. Read the text once for meaning
  2. Mark the phrases that sound synthetic
  3. Rewrite those sections, not just individual words
  4. Read the result out loud mentally
  5. Tighten anything that still sounds canned or overbuilt

Output format

Provide:

  1. The rewritten text
  2. A short list of the biggest changes, if useful

Quality check

Before finalizing, judge the rewrite on these five dimensions:

DimensionWhat to checkScore
DirectnessSays what it means without throat-clearing/10
RhythmSentence lengths vary naturally/10
TrustRespects the reader and avoids hand-holding/10
AuthenticitySounds like a person, not a content machine/10
RefinementNo obvious filler left/10
Total/50

Guideline:

  • 45-50 = solid
  • 35-44 = needs another pass
  • below 35 = rewrite again

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.