skills-kitchen

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Use this skill, which uses BERTopic, whenever a user wants to discover what a collection of text documents is about, OR when refining an existing topic model (merging topics, reducing to fewer themes, consolidating groups). This is the default skill for finding topics, themes, patterns, or subject groupings in any text dataset (CSV, JSONL, JSON, TXT). Invoke it for requests like: "what are people complaining about", "find the main topics", "what themes exist", "group by subject", "find patterns in these documents", "explore this dataset", "merge topics 2 and 4", "reduce to 5 topics", or explicit "topic modeling". Covers: complaint analysis, survey exploration, ticket categorization, review analysis, article grouping — any "what's in these documents" task. Not for: sentiment scoring, named entity extraction, predefined label classification, translation, or word frequency counts.