This repository provides a Claude Code Skill for reducing AIGC detection rates in Chinese academic writing. The Skill is available in two versions: a compact SKILL.md (~414 lines) for efficient daily use and a full SKILL_full.md (~554 lines) with detailed examples for maximum effectiveness. It does not contain executable code but offers a comprehensive set of rewriting rules based on 16 identified AI writing patterns across content, language, and style layers. The core methodology involves pattern recognition, constrained rewriting (7 hard constraints), a 4-step SOP (risk scanning → rewriting → rhythm check → noise preservation), and a 6-dimension quality scoring system. The Skill transforms input text by breaking AI predictability while preserving academic meaning and injecting human-like variability through techniques like theoretical repositioning, asymmetric restructuring, and judicious noise retention.