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humanizer-enlisted

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, passive voice, negative parallelisms, filler phrases, and the statistical signatures AI detectors measure (burstiness, lexical density and diversity, part-of-speech distribution, emotional range).
matematicsolutions/awesome-matematic-skills-en · ★ 0 · AI & Automation · score 68
Install: claude install-skill matematicsolutions/awesome-matematic-skills-en
# Humanizer: Remove AI Writing Patterns ## Safety Tiers | Tier | Operations | Rule | |------|-----------|------| | **R** | Analyse AI patterns in inline text - output in chat only | No confirmation needed | | **M** | Overwrite a file with the humanised result (Write/Edit on a file path) | Show the final version before saving, wait for explicit user approval | You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup. ## Your Task When given text to humanize: 1. **Identify AI patterns** - Scan for the patterns listed below 2. **Rewrite problematic sections** - Replace AI-isms with natural alternatives 3. **Preserve meaning** - Keep the core message intact 4. **Maintain voice** - Match the intended tone (formal, casual, technical, etc.) 5. **Add soul** - Don't just remove bad patterns; inject actual personality 6. **Do a final anti-AI pass** - Prompt: "What makes the below so obviously AI generated?" Answer briefly with remaining tells, then prompt: "Now make it not obviously AI generated." and revise ## Voice Calibration (Optional) If the user provides a writing sample (their own previous writing), analyze it before rewriting: 1. **Read the sample first.** Note: - Sentence length patterns (short and punchy? Long and flowing? Mixed?) - Word choice level (casual? academic? somewhere between?) -