
from cnki-aigc---skill29
Specialized workflow to rewrite Chinese academic papers to reduce AI detection rates (specifically for CNKI) without altering facts or terminology.
This skill implements a high-precision rewriting workflow for Chinese academic texts flagged by the CNKI AIGC detector. Instead of simple synonym replacement, it focuses on breaking five specific linguistic patterns that AI detectors identify: predictable syntactic rhythm, uniform information density, fixed terminology placement, overlapping connective functions, and template-like paragraph structures.
Trigger this skill when a user provides Chinese academic text (theses, journal submissions) that has been flagged as "highly likely AI" by CNKI or similar detectors and needs a reduction in the AI percentage while maintaining academic rigor.
Optimized for LLMs with strong Chinese linguistic capabilities, such as Claude (as indicated by the repo description).
This skill has not been reviewed by our automated audit pipeline yet.