Humanize Writing

Transform robotic AI drafts into natural, human-sounding prose with native-level flow and tone.

Install
cmdop skills install agensi-humanize-writing

Humanize Writing is a skill published by agensi that takes AI-generated text and rewrites it to read like natural human prose. Standard LLM outputs tend to exhibit what the skill calls “machine-like symmetry”: repetitive framing, generic transitions, abstract nouns, and hedge loops that make the writing feel detectable and tiring. This skill addresses those patterns at a structural level, not just by swapping synonyms, but by re-architecting sentence structure, cadence, and flow to match the natural habits of native speakers across English and other languages.

The skill applies a “Smell Score” system to diagnose the degree of AI-like patterning in a draft. Based on that diagnosis, it either refines the existing structure or rebuilds the draft from scratch, whichever is needed to achieve a genuine human voice. During this process, it scans for abstract nouns, weak verbs, and hedge loops, then varies sentence length and replaces abstractions with concrete language. Critical data — facts, links, and code — is preserved unchanged. The skill also localizes idioms, punctuation, and tone to suit the intended target audience.

This skill is appropriate when an agent’s output will be read directly by humans and must not read as machine-generated — for example, in blog posts, marketing copy, client communications, or editorial content. It is not a grammar checker, a translation tool, or a factual accuracy layer; it operates purely on style and structure.

Use cases

  • Rewrite LLM-generated blog post drafts to read with natural sentence rhythm and varied length
  • Polish AI-produced email copy so it sounds like a native speaker rather than a language model
  • Refactor marketing content flagged for repetitive framing and generic transitions
  • Localize idioms and tone in AI drafts for a specific regional or cultural target audience
  • Rebuild heavily structured AI output from scratch when the Smell Score indicates deep patterning issues
  • Strip hedge loops and weak verbs from AI-generated reports to produce more direct, concrete prose

When to use it

  • When AI-generated text will be read directly by humans and must not feel machine-written
  • When content suffers from repetitive framing, abstract nouns, or generic transitions typical of LLM output
  • When tone and idiom need to be localized to a specific audience or language community
  • When sentence cadence and flow are more important than structural or factual changes

When not to use it

  • When the goal is grammar correction or spelling — this skill targets style and structure, not errors
  • When factual accuracy review or fact-checking is needed — the skill preserves existing facts but does not verify them
  • When the task requires language translation into a different language rather than tone localization
  • When the content is code-only or data-only with no prose to rewrite
  • When no AI-generated text is involved and the source is already natural human writing