Remove AI-writing patterns from German texts while preserving meaning and voice.
npx skills add https://github.com/bitranox/bx_skills --skill bx-humanize-de
Please help me install this Agent Skill. Skill: bx-humanize-de Source: https://github.com/bitranox/bx_skills/tree/main/src/bx_skills/catalog_skills/bx-humanize-de Command: npx skills add https://github.com/bitranox/bx_skills --skill bx-humanize-de
Dieser Skill identifiziert und entfernt häufige KI-Schreibmuster in deutschen Texten, damit diese natürlicher und menschlicher klingen. Er eignet sich besonders für Fließtexte wie Blogbeiträge, E-Mails, Artikel, Aufsätze, README-Fließtexte oder Marketingtexte.
Gib mir eine überarbeitete, menschlich klingende Version dieses Textes, behalte die Kernaussage.
High-intent search queries and answers about installing and using this skill.
To make AI-generated German text sound more human, the Skill applies pattern-based rewriting that identifies and removes common AI-writing traits like excessive phrasing and vague authority, replacing them with natural alternatives while preserving the original meaning.
Common AI-writing patterns in German prose include reflexive phrases, excessive phrasing, and vague authorities. This Skill detects these linguistic traits and rewrites them into human-sounding alternatives to improve text naturalness.
Yes, you can use this AI text humanization process for German emails and blog posts. It optimizes various German prose formats, including articles, essays, and README-like text, by varying sentence lengths and adjusting tone for a natural reading experience.
To humanize German text while preserving the original voice, the Skill uses pattern-based rewriting to adjust rhythm and tone. It removes artificial AI patterns and injects personality without altering the core message or intended voice.
The tone adjustment mechanism works best on German prose like blogs, emails, and articles. It focuses on removing AI-writing patterns and varying sentence lengths, so heavily structured technical documentation outside of README-like text may not benefit as much from this linguistic editing approach.
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