| 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
- 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-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