Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice.

MITAuto-check passedWriting & Content

Install Humanizer

skills CLI
$ npx skills add manojbajaj95/claude-gtm-plugin --skill humanizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install manojbajaj95/claude-gtm-plugin humanizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/humanizer .claude/skills/humanizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
humanizer
GitHub stars
105
Token cost
~1.4k tokens
SKILL.md length
678 words
Files
1
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice.

  • Works in 5 steps: Read for intent: identify the audience,… → Find AI tells: mark the patterns that… → Rewrite once: preserve meaning, claims,… → …
  • Editing text to sound more natural
  • SKILL.md covers Workspace Context, Operating Contract, Inputs and Workflow, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Humanizer is an agent skill from manojbajaj95/claude-gtm-plugin. Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. Use when editing text to sound more natural, less generic, less promotional, less formulaic, or closer to the user's own writing. Triggers: humanize this, make this less AI, make this sound human, remove AI writing patterns, rewrite in my voice, make this more natural, de-AI this, make this less ChatGPT, fix robotic writing, improve authenticity, reduce generic AI tone.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Humanizing AI text. It works with OpenAI. The licence is MIT.

When your agent uses it

  • Editing text to sound more natural
  • Less promotional
  • Closer to the users own writing

Example prompts

  • “/humanizer”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read for intent: identify the audience, job of the piece, desired action, and non-negotiable claims.
  2. Find AI tells: mark the patterns that make the writing feel synthetic.
  3. Rewrite once: preserve meaning, claims, and structure where useful, but remove formulaic language.
  4. Run an anti-AI audit: ask, "What still makes this obviously AI generated?" Note the remaining tells briefly.
  5. Rewrite again: produce the final version with the audit fixed.

What it can do on your machine

Read from SKILL.md and the folder at commit 0830a46. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Humanizer loads about 1.4k tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 678 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from manojbajaj95/claude-gtm-plugin at commit 0830a46, republished under its MIT licence (© manojbajaj95). 678 words, ~1,416 tokens.

Download SKILL.mdSave it as .claude/skills/humanizer/SKILL.md (or your agent's skills folder).
name
humanizer
description
Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. Use when editing text to sound more natural, less generic, less promotional, less formulaic, or closer to the user's own writing. Triggers: humanize this, make this less AI, make this sound human, remove AI writing patterns, rewrite in my voice, make this more natural, de-AI this, make this less ChatGPT, fix robotic writing, improve authenticity, reduce generic AI tone.

Humanizer

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

You are a careful editor. Your job is to make writing sound like a real person wrote it, not to make it more polished for its own sake.

Inputs

Use the text the user provides. Before asking questions, check:

  • about/me.md for personal writing style
  • strategy/brand.md for brand voice, audience, and claims
  • Any user-provided sample, file, or prior draft

Ask only if the target voice, audience, or destination is genuinely unclear.

Workflow

  1. Read for intent: identify the audience, job of the piece, desired action, and non-negotiable claims.
  2. Find AI tells: mark the patterns that make the writing feel synthetic.
  3. Rewrite once: preserve meaning, claims, and structure where useful, but remove formulaic language.
  4. Run an anti-AI audit: ask, "What still makes this obviously AI generated?" Note the remaining tells briefly.
  5. Rewrite again: produce the final version with the audit fixed.

Voice Calibration

If about/me.md or a user-provided sample exists, match it:

  • sentence length and rhythm
  • paragraph openings
  • punctuation habits
  • directness, humor, edge, warmth, or restraint
  • preferred plain words over polished substitutes
  • transitions, asides, and recurring phrasing

Do not "upgrade" casual wording into corporate language. If the user writes "stuff," do not automatically change it to "initiatives" or "components."

Patterns to Remove

Inflated significance

Watch for: "serves as," "stands as," "testament," "pivotal," "underscores," "broader trend," "evolving landscape," "lasting impact."

Fix by stating the concrete fact and why it matters, without pretending every detail is historic.

Promotional filler

Watch for: "vibrant," "rich," "groundbreaking," "seamless," "powerful," "must-have," "nestled," "in the heart of," "showcasing," "commitment to."

Fix with specific evidence, plain nouns, and direct claims.

Fake depth

Watch for -ing add-ons: "highlighting," "underscoring," "reflecting," "encompassing," "fostering," "ensuring."

Fix by splitting the sentence or deleting the fake analysis.

Vague attribution

Watch for: "experts say," "industry reports suggest," "observers note," "some critics argue."

Fix with a named source, a real example, or remove the claim.

Show full SKILL.md (268 more words)Show less
AI vocabulary clusters

Watch for repeated use of: "additionally," "delve," "crucial," "intricate," "interplay," "landscape," "robust," "valuable," "key," "enhance," "leverage."

Fix with shorter, more ordinary words.

Formulaic structure

Watch for:

  • forced groups of three
  • "not only X but Y"
  • "it is not just X, it is Y"
  • false "from X to Y" ranges
  • generic "challenges and future prospects" sections
  • upbeat closing filler

Fix by keeping only the real argument.

Chatbot residue

Remove conversational artifacts that belong to a chat response, not final copy:

  • "Great question"
  • "I hope this helps"
  • "let me know if..."
  • "here is an overview"
  • "let's dive in"
  • knowledge-cutoff disclaimers
Over-styled formatting

Reduce:

  • excessive boldface
  • emoji decorations
  • title-case headings when sentence case fits
  • inline-header bullet lists
  • em dash overuse
  • curly quotes if the project uses straight quotes

Add Humanity

Removing AI tells is not enough. Add signs of a real writer where appropriate:

  • a specific opinion
  • a concrete example
  • a sentence with uneven rhythm
  • a useful caveat
  • a direct first-person line when the format allows it
  • a small imperfection that sounds natural, not sloppy

Do not invent personal experiences, customers, metrics, quotes, or sources.

Output Format

Return:

  1. Draft rewrite
  2. Remaining AI tells: brief bullets from the anti-AI audit
  3. Final rewrite
  4. What changed: optional, only if useful

If editing a file, save the final version to the correct destination and summarize the changes. For new drafts, use content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md unless the user asks for inline output only.

  • copywriting-core for writing or rewriting conversion copy from scratch
  • blog-writing-specialist for long-form blog drafts
  • linkedin for LinkedIn-specific posts and profile content
  • content-creation-and-marketing for cross-channel draft production

© manojbajaj95, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/humanizer of manojbajaj95/claude-gtm-plugin.

Open the folder on GitHubat commit 0830a46

Compare with similar skills

Humanizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Humanizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Humanizer this skillmanojbajaj95/claude-gtm-plugin105—~1.4kAutomated safety check: PassMIT
Korean AI-Text Humanizerepoko77-ai/im-not-ai5.9k—~1.2kAutomated safety check: PassMIT
ShuorenhuaMrGeDiao/shuorenhua2k—~757Automated safety check: PassMIT
Sloptrimseyedehsanhadi/sloptrim213—~5.2kAutomated safety check: NotesApache-2.0
Humanizer RuVladimir-Human/humanizer-ru125—~4kAutomated safety check: PassMIT
Anti Slop Writingadenaufal/anti-slop-writing145—~5.6kAutomated safety check: PassMIT

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  • Korean AI-Text Humanizer

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    2k GitHub stars~757 tokensUpdated yesterday
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  • Sloptrim

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Works with

Questions about Humanizer

What does Humanizer do?

Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. Humanizer is an agent skill from manojbajaj95/claude-gtm-plugin. Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice.

When should I use Humanizer?

Humanizer fits situations like: editing text to sound more natural; less promotional; closer to the users own writing.

How do I install Humanizer in Claude Code?

Run `npx skills add manojbajaj95/claude-gtm-plugin --skill humanizer -a claude-code`. Or copy the skill folder (skills/humanizer in manojbajaj95/claude-gtm-plugin) into .claude/skills/humanizer in your project. Claude Code loads it when a task matches its description.

How do I install Humanizer in Codex?

Run `npx skills add manojbajaj95/claude-gtm-plugin --skill humanizer -a codex`. Or copy the skill folder (skills/humanizer in manojbajaj95/claude-gtm-plugin) into .agents/skills/humanizer in your project. Codex loads it when a task matches its description.

Can I use Humanizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add manojbajaj95/claude-gtm-plugin --skill humanizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/humanizer, .gemini/skills/humanizer, .github/skills/humanizer and .opencode/skills/humanizer in your project.

What does Humanizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Humanizer is instructions for the agent only.

Does Humanizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Humanizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Humanizer use?

Humanizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Humanizer use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Humanizer?

Skills that share tags, products or a category with Humanizer: Korean AI-Text Humanizer (epoko77-ai/im-not-ai, 5.9k stars), Shuorenhua (MrGeDiao/shuorenhua, 2k stars), Sloptrim (seyedehsanhadi/sloptrim, 213 stars) and Humanizer Ru (Vladimir-Human/humanizer-ru, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Humanizer?

manojbajaj95 (a GitHub user) maintains it in manojbajaj95/claude-gtm-plugin, which has 105 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on September 18, 2026.

Source: manojbajaj95/claude-gtm-plugin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.