What problem does it solve? German texts written or drafted by AI often carry recognizable machine patterns: inflated significance language, marketing phrases, excessive em-dashes, formulaic conclusion sections, fabricated citations, and leftover chatbot artifacts. This Skill provides a rule set, based on the Wikipedia guides "Anzeichen für KI-generierte Inhalte" and "Signs of AI writing", that makes German texts read as natural, factual, and human-written. ## Core Features & Use Cases - Pattern Detection and Removal: Identifies and eliminates typical AI giveaways such as promotional wording, weasel words, mechanical connectors, negative parallelism, synonym rotation, and over-structuring. - Fact and Citation Integrity: Enforces verifiable sources, forbids invented references, and checks that each citation actually supports the claim it is attached to. - Artifact Cleanup: Removes Markdown remnants, chatbot citation fragments (utm_source, oaicite, [cite: 1]), dialogue leftovers, and placeholder text. - Use Case: You drafted a German report or article with an AI assistant. Apply this Skill to strip out the "Fazit" section, replace stiff synonyms like "verfasste" with plain words, reduce em-dash density, and verify every source before publishing. ## Quick Start Rewrite my German text so it reads naturally and factually, removing all typical AI writing patterns.
