AGENT SKILLBY MANOJBAJAJ95
Humanizer
AT A GLANCE
Humanizer is a content agent skill from manojbajaj95. Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. It is published in the manojbajaj95/claude-gtm-plugin GitHub repository (74 stars) under the MIT license. Install it with: npx skills add manojbajaj95/claude-gtm-plugin --skill humanizer
- SOURCE REPOSITORY
- manojbajaj95/claude-gtm-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 5 KB142 LINES
QUICK ANSWER
- WHAT IT IS01
- Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. The value is a focused slice of humanizer judgment, useful when several similar skills cover the same ground.
- INPUTS02
- Context the agent needs: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add manojbajaj95/claude-gtm-plugin --skill humanizerREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 17
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.mdfor personal writing stylestrategy/brand.mdfor 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#
- Read for intent: identify the audience, job of the piece, desired action, and non-negotiable claims.
- Find AI tells: mark the patterns that make the writing feel synthetic.
- Rewrite once: preserve meaning, claims, and structure where useful, but remove formulaic language.
- Run an anti-AI audit: ask, "What still makes this obviously AI generated?" Note the remaining tells briefly.
- 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.
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:
- Draft rewrite
- Remaining AI tells: brief bullets from the anti-AI audit
- Final rewrite
- 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.
Related Skills#
copywriting-corefor writing or rewriting conversion copy from scratchblog-writing-specialistfor long-form blog draftslinkedinfor LinkedIn-specific posts and profile contentcontent-creation-and-marketingfor cross-channel draft production
FAQ
07 QUESTIONS
01What is the Humanizer agent skill?
Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. It is listed under content in the 100xLab agent skills directory.
02How do I install Humanizer in Cursor, Claude Code, or Codex?
Run npx skills add manojbajaj95/claude-gtm-plugin --skill humanizer in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Humanizer, not every skill in the repository.
03What does the Humanizer SKILL.md cover?
The SKILL.md includes sections on Workspace Context, Operating Contract, Inputs, Workflow, Voice Calibration and Patterns to Remove. Read the full text on this page or in plain markdown at /resources/agent-skills/manojbajaj95-claude-gtm-plugin--humanizer--1q4ui4f/raw.
04Which agents can use Humanizer?
Humanizer installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Humanizer under?
The manojbajaj95/claude-gtm-plugin repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Humanizer free to use?
Reading, copying and installing Humanizer costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Humanizer?
Humanizer comes from https://github.com/manojbajaj95/claude-gtm-plugin, which has 74 GitHub stars. The SKILL.md is at https://github.com/manojbajaj95/claude-gtm-plugin/blob/HEAD/skills/humanizer/SKILL.md. The author is manojbajaj95.
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ATTRIBUTION
Humanizer was written by its original authors and is published in manojbajaj95/claude-gtm-plugin (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.