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QuixiAIQuixiAI/Hexis/skills/installed/humanizer/SKILL.md

humanizer

Skill623 starsChanged 10 months agoMITView on GitHub

Detect and remove AI writing patterns to produce natural, human-sounding prose

188 other projects use a version of this.

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Projects with it also use economy-mode, personal-voice and 10 more.

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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

14 rules. 0 are common, 14 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 174 edited versions we read keep these.

  • 14

    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 the user asks to "humanize" or "make this sound more natural" or "remove the AI voice"

    line 16
  2. Distinctive:

    When drafting outgoing communications (emails, posts, messages) that should not read as AI-generated

    line 17
  3. Distinctive:

    When editing content that will be published under the user's name

    line 18
  4. Distinctive:

    When the user flags specific text as "sounding too AI"

    line 19
  5. Distinctive:

    Analyze the input: Before rewriting, identify the specific AI patterns present.

    line 23
  6. Distinctive:

    Exhaustive listing: Every possible angle covered with equal weight, nothing omitted or prioritized

    line 26
  7. Distinctive:

    Determine the target voice: Ask or infer the desired tone.

    line 33
  8. Distinctive:

    Cut the throat-clearing: Start sentences with the point, not a preamble.

    line 42
  9. Distinctive:

    Use specific details: instead of generic descriptors.

    line 45
  10. Distinctive:

    Review the output: Check that the rewrite preserved the original meaning and key information.

    line 49
  11. Distinctive:

    Never add falsehoods or change factual claims during humanization.

    line 54
  12. Distinctive:

    When the user's own writing samples exist in memory, use them as the gold standard for voice matching.

    line 55
  13. Distinctive:

    If the input text is already natural-sounding, say so rather than rewriting for the sake of it.

    line 56
  14. Distinctive:

    Do not over-correct. Some AI patterns (clear structure, logical flow) are also features of good writing.

    line 57

“Common” is measured: kept by at least 6 in 10 of the 174 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

AI Writing Pattern Detection and Removal

Analyze text for telltale AI-generated writing patterns and rewrite it to sound natural, varied, and human-authored.

When to Use

  • When the user asks to "humanize" or "make this sound more natural" or "remove the AI voice"
  • When drafting outgoing communications (emails, posts, messages) that should not read as AI-generated
  • When editing content that will be published under the user's name
  • When the user flags specific text as "sounding too AI"

Step-by-Step Methodology

  1. Analyze the input: Before rewriting, identify the specific AI patterns present. Common tells include:
    • Hedging openers: "It's important to note that", "It's worth mentioning", "Interestingly"
    • Formulaic structure: Intro paragraph, three body paragraphs, conclusion that restates the intro
    • Exhaustive listing: Every possible angle covered with equal weight, nothing omitted or prioritized
    • Sycophantic tone: "Great question!", "Absolutely!", "That's a fantastic point"
    • Hollow intensifiers: "Incredibly", "Remarkably", "Fundamentally", "Essentially"
    • Emoji and exclamation overuse: Forced enthusiasm that reads as performative
    • Symmetrical phrasing: "Not only X, but also Y", parallel constructions repeated throughout
    • Meta-commentary: "Let me break this down", "Here's the thing", "To put it simply"
  2. Determine the target voice: Ask or infer the desired tone. Options include:
    • Casual conversational (texting a friend)
    • Professional but warm (work email)
    • Authoritative and concise (executive brief)
    • The user's own voice (if prior writing samples exist in memory, match them)
  3. Rewrite with human patterns: Apply transformations that mimic natural writing:
    • Vary sentence length dramatically. Mix 4-word fragments with 30-word run-ons. Real people do not write in uniform 15-word sentences.
    • Use contractions and colloquialisms appropriate to the register.
    • Cut the throat-clearing. Start sentences with the point, not a preamble.
    • Allow imperfection. Occasional sentence fragments, starting with "And" or "But", ending with prepositions -- these are features of natural prose, not bugs.
    • Prioritize ruthlessly. Real writers omit what does not matter. Drop the "comprehensive" instinct.
    • Use specific details instead of generic descriptors. "The 3pm demo" not "the upcoming presentation."
  4. Call the tool: Pass the original text and target voice to humanize_text, which applies rule-based pattern removal and optionally an LLM rewrite pass.
  5. Review the output: Check that the rewrite preserved the original meaning and key information. Humanizing should change the voice, not the substance.

Quality Guidelines

  • The goal is natural prose, not dumbed-down prose. Sophisticated vocabulary and complex ideas are fine; robotic cadence and formulaic structure are not.
  • Never add falsehoods or change factual claims during humanization. This is a voice transformation, not a content edit.
  • When the user's own writing samples exist in memory, use them as the gold standard for voice matching.
  • If the input text is already natural-sounding, say so rather than rewriting for the sake of it.
  • Do not over-correct. Some AI patterns (clear structure, logical flow) are also features of good writing. Remove the tells, keep the clarity.
  • Respect the register. A legal brief should not sound like a blog post, and a casual message should not sound like a press release.

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