Rewrite Chinese or English scholarly text to reduce AI-detection signals.
npx skills add https://github.com/poleHansen/baibaiAIGC --skill baibaiaigc
Please help me install this Agent Skill. Skill: baibaiAIGC Source: https://github.com/poleHansen/baibaiAIGC/tree/main Command: npx skills add https://github.com/poleHansen/baibaiAIGC --skill baibaiaigc
The baibaiAIGC skill helps users reduce AI-detection signals in Chinese or English scholarly writing by guiding a regulated, multi-round rewrite process that preserves original meaning, terminology, and logical structure while making the prose more natural.
Place your document in origin/ and trigger the skill to start the first round rewrite.
High-intent search queries and answers about installing and using this skill.
To reduce AI traces in scholarly writing, you can use a regulated, multi-round rewrite process that preserves original terminology and logical structure while making the prose more natural. The skill coordinates paragraph-aware chunking to keep edits faithful to the source.
Cross-session continuity for AI text rewriting ensures that multiple rewrite rounds can be chained across different conversations. It operates by storing intermediate results and records, allowing you to pause and resume scholarly text processing without losing progress.
To start academic editing, place your document in the origin directory and trigger the skill to begin the first round rewrite. The system enforces block-based processing and paragraph-aware chunking to maintain length constraints and source fidelity.
Yes, the AI text rewrite process supports Chinese two-round prompts and English single-round prompts. Both modes coordinate across sessions via AIGC records to consistently reduce AI-detection signals in scholarly writing.
Yes, you can use python-docx documents as the skill depends on python-docx for document processing. It processes chunked, paragraph-aware text blocks from your documents to ensure edits remain faithful to the original source.
A limitation of cross-session text rewrite is that it requires storing intermediate results in records to function. If the block-based processing or paragraph-aware chunking constraints are not met, edits may not stay faithful to the source length and structure.
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