Remove AI Flavor v5.2
Paste the following prompt into your AI chat to install this skill:
Please install @user_d9089697/remove-ai-flavor according to https://skillhub.cn/install/skillhub.md.
About this skill
The Problem
Chinese AI writing often overstates significance, reuses template openings, piles up connectors, overuses 进行, carries translation-tone, and sounds overly safe. Web novels also show stock AI phrases, canned character gestures, and overused adverbs. This skill targets those concrete traces instead of generic polishing.
How It Works
It splits de-AI-flavoring into detection, prescription, and rewriting. detector.py scans 50 patterns and returns scores, hits, and linked warnings; ai_library.html gives paste-in diagnosis; wordbank.json provides 81 web-novel replacements; instructions_bank.json offers 12 ready-to-use rewrite instructions. A typical flow is: judge the scene and intensity, run detection on longer text, prioritize high-impact fixes using P0-P4 or W0-W4, then preserve meaning while adding stance, rhythm, and concrete feeling.
Boundaries
It fits technical docs, reports, creative writing, and web-novel chapters where facts should stay and expression should change. If exact wording, compliance phrasing, or author voice matters more, use diagnosis-only or mark paragraphs to keep. The web-novel mode focuses on prose, not plot, and is not intended for expansion, setting changes, or character restructuring. It is best used as a final-pass expression cleanup.
Use Cases
- Before publishing a technical blog, scan a draft for AI-heavy words and template openings, replace obvious filler while keeping code and claims intact.
- When revising web-novel chapters, enable web-novel mode, check stock gestures and banned AI phrases, and swap expression without changing plot or character arcs.
- Before finalizing a formal report, run detector.py over multiple .txt drafts and use the HTML report to locate vague conclusions and disclaimers.
- After writing social copy, request a diagnosis-only pass to find customer-service tone, excessive particles, and flattery, then manually revise only key lines.
Best For
- Engineers finalizing technical blogs or docs who want to remove template openings, stacked connectors, and safe wording while keeping precise conclusions.
- Web-novel writers updating chapters who want to swap stock gestures, smiles, actions, and banned phrases without changing plot, settings, or character arcs.
- Ops or PMs shipping reports who need batch review of disclaimers, empty conclusions, and promotional tone before manually confirming key lines.
- Editors or content reviewers who want line-by-line hit diagnostics on long drafts to separate general AI tone from web-novel clichés.
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