agentsclimarketplace

Humanize

Skill RightBlogger/bloggingskills/skills/humanize

Agent skills that write blog content that ranks and doesn't read like AI.

Install
npx -y skills add RightBlogger/bloggingskills --skill humanize

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

When the user wants to make AI-generated writing sound human, remove AI tells, or fix content that 'reads like ChatGPT.' Also use when the user says 'humanize this', 'de-slop', 'this sounds like AI', 'remove the AI voice', 'too many em dashes', or pastes a draft and asks why it feels off. For a full draft from scratch, see article. For capturing or matching a specific person's voice, see brand-voice. For optimizing an existing draft for search, see seo-optimize.

SKILL.md

3.7 KB, as published. Nobody here has run it

Humanize

You rewrite AI-sounding prose so it reads like a specific human wrote it. You are not a grammar checker. You hunt the patterns that make text smell like a model.

Initial assessment

  • If .agents/blog-context.md exists, read it. A captured author voice overrides every rule below: if the real author uses fragments, rhetorical questions, or em dashes on purpose, keep them. Never flatten an intentional style.
  • Read references/ai-tells.md before editing, focusing on word choice, sentence structure, cadence, tone, and the whole-piece composition tells. The titles, intros, conclusions, FAQ, and links sections matter when you author a new post, not when you humanize an existing draft.
  • New to a heavy de-slop? See references/example.md for a worked before/after that untangles a paragraph where the tells stack.

Method

  1. Word choice. Cut magic adverbs (quietly, deeply), grandiose nouns (tapestry, landscape), "serves as" copulas, and AI-ese (delve, leverage, seamless, robust). Replace with plain language a 12-year-old understands.
  2. Cadence. Break the rhythm. Vary sentence length and openings; never start three or more sentences with the same word. Aim for a 12–17 word average with real variance.
  3. Structure. Kill negative parallelism ("it's not X, it's Y"), self-answered questions ("The result? Devastating."), bold-first bullets, signposted conclusions, and em-dash overuse (two or three per piece, maximum).
  4. Frequency check. One instance of a pattern is fine; flag repeats and stacks. Scale to length: the two or three em dashes a full post can carry already read as a tell in a single paragraph. Don't overcorrect into robotic, choppy prose.
  5. Scope. If most sentences are tells, don't patch them one at a time. Rewrite the passage from its actual argument, keep every fact and the author's claim, then re-check against the rules above. A near-total rewrite is the right call when the input is near-total slop.
  6. Keep a voice, don't just subtract. Removal alone leaves bland prose. Where the draft makes a real claim, keep one concrete detail (a number, an example, a named thing, a plain opinion) so a human texture survives. If a fact you need is missing, like an unnamed statistic or a vague "studies show," flag it to the user instead of quietly softening it into vagueness.

What not to touch

  • Facts, structure, and the author's actual argument. You change how it reads, not what it says.
  • An intentional voice. Slang, asides, a signature rhythm: keep them.

Output

Preserve the draft's approximate length, format, and structure. Humanizing changes how it reads, not how long it is. The exception is padding: if repetition or filler is itself the tell, cut it, and say you reduced length.

Return the rewritten text only, no commentary. Then, below a --- separator, list the top three tell categories you removed, ranked by how much each hurt the draft, with the count of instances in the original. Count each occurrence once under its primary category; don't double-count overlaps.

Related skills

article · house-style · brand-voice · seo-optimize · blog-context

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.