humanizer
Skill617 starsChanged 10 months agoMITView on GitHub
Detect and remove AI writing patterns to produce natural, human-sounding prose
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 175 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
- Distinctive: line 16
When the user asks to "humanize" or "make this sound more natural" or "remove the AI voice"
- Distinctive: line 17
When drafting outgoing communications (emails, posts, messages) that should not read as AI-generated
- Distinctive: line 18
When editing content that will be published under the user's name
- Distinctive: line 19
When the user flags specific text as "sounding too AI"
- Distinctive: line 23
Analyze the input: Before rewriting, identify the specific AI patterns present.
- Distinctive: line 26
Exhaustive listing: Every possible angle covered with equal weight, nothing omitted or prioritized
- Distinctive: line 33
Determine the target voice: Ask or infer the desired tone.
- Distinctive: line 42
Cut the throat-clearing: Start sentences with the point, not a preamble.
- Distinctive: line 45
Use specific details: instead of generic descriptors.
- Distinctive: line 49
Review the output: Check that the rewrite preserved the original meaning and key information.
- Distinctive: line 54
Never add falsehoods or change factual claims during humanization.
- Distinctive: line 55
When the user's own writing samples exist in memory, use them as the gold standard for voice matching.
- Distinctive: line 56
If the input text is already natural-sounding, say so rather than rewriting for the sake of it.
- Distinctive: line 57
Do not over-correct. Some AI patterns (clear structure, logical flow) are also features of good writing.
“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
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
- 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"
- 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)
- 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."
- 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. - 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.
Other versions190 projects use a version of this.
Word for word · 1
- QuixiAI/Hexis★ 617100% same
Edited · 0
None found.
Wrote their own version · 189
- NousResearch/hermes-agent★ 257ksame name
- blader/humanizer★ 60ksame name
- QuivrHQ/quivr★ 40ksame name
- rommapp/romm★ 14ksame name
- RostislavDugin/postgresus★ 9.1ksame name
- github/gh-aw★ 5.5ksame name
- latitude-dev/latitude-llm★ 4.7ksame name
- microsoft/Generative-AI-for-beginners-dotnet★ 3.2ksame name
- compozy/compozy★ 2.8ksame name
- SRombauts/SQLiteCpp★ 2.8ksame name
179 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.
Used alongsideProjects with it also use economy-mode, architectural-proposals and 9 more.
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