Article Humanizer: Human-Like Voice

Problem

AI-generated writing often reads too smooth: balanced clauses, even information flow, and filler transitions. It may look complete, but it lacks the uneven cadence, concrete judgment, and restrained emphasis found in human prose. For technical docs, industry commentary, and postmortems, the issue is not grammar but model-like tone: abstract nouns, templated parallelism, and paragraph endings that sound like slogans.

How It Works

The skill treats rewriting as a three-step pipeline. First, it diagnoses the input by classifying the register as objective-formal or subjective-expressive and selecting the language mode. Then it applies asymmetric rewriting: breaks neat parallel structures, varies sentence density, and removes pseudo-logical fillers such as “it is worth noting” or “in summary.” It also replaces vague business phrases with concrete actions. Finally, it checks information fidelity so facts, metrics, names, and logic boundaries survive.

Scope

This skill works best on drafts that already contain specific claims. It is not a fact generator. The output should contain [Execution Insight] and [Humanlized Text], with the first section giving a brief strategy note and the second giving the final prose. If the source lacks evidence, the skill should adjust voice rather than invent support.