aigc-reduce

Reduce AI writing traces in academic papers using Python text analysis.

491|19|Updated May 2, 2026
One-click install
npx skills add https://github.com/xiaofenggan01/aigc-reduce --skill aigc-reduce
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aigc-reduce
Source: https://github.com/xiaofenggan01/aigc-reduce/tree/main
Command: npx skills add https://github.com/xiaofenggan01/aigc-reduce --skill aigc-reduce

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, deep-learning, nltk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill reduces the AI writing痕迹 in academic papers, helping maintain a formal academic style.

Core Features & Use Cases

  • AI Traces Removal: Identifies and removes AI-generated patterns in text, such as template sentences and repetitive phrases.
  • Academic Style Preservation: Focuses on preserving the formal academic style, avoiding colloquialisms and simplifications.
  • Use Case: Ideal for academic writers and researchers looking to ensure their work passes AI detection tools while maintaining a high-quality, human-written academic tone.

Quick Start

To reduce AI traces and maintain a formal style in your paper, use the 'aigc-reduce' skill and follow the steps outlined in the skill's documentation.

Frequently Asked Questions about aigc-reduce

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI writing traces from academic papers while keeping a formal style?

To remove AI writing traces from academic papers, this Skill identifies AI-generated patterns like template sentences, applying sentence restructuring and word replacement to maintain a formal academic style.

What is the best way to pass AI detection tools for text generated in academic writing?

Passing AI detection tools for academic writing involves eliminating AI-generated patterns and repetitive phrases, ensuring the text retains a high-quality, human-written academic tone through style auditing.

Do I need Python and deep-learning libraries to reduce AI traces in text analysis?

Yes, reducing AI traces requires Python and specific libraries for text analysis and manipulation, including deep-learning, nltk, and python-docx to process the document.

Can I use python-docx to process document formatting during AI trace removal?

Yes, python-docx is a required dependency for AI trace removal, enabling text analysis and manipulation within document files while preserving the formal academic writing style.

What are the limitations of automated AI trace removal for academic style preservation?

Automated AI trace removal focuses on avoiding colloquialisms and simplifications, but limitations exist in complex academic style preservation where nuanced sentence restructuring might require manual review.