thesis-optimizer

Optimize LaTeX theses to reduce AI-detection and plagiarism while polishing writing.

244|13|Updated Feb 4, 2026

Search Tags:#workflow #latex #thesis #state-tracking #polishing #ai-detection #plagiarism

Ready to run

npx skills add https://github.com/Haimbeau1o/thesis-optimizer --skill thesis-optimizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: thesis-optimizer
Source: https://github.com/Haimbeau1o/thesis-optimizer/tree/main
Command: npx skills add https://github.com/Haimbeau1o/thesis-optimizer --skill thesis-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Thesis-optimizer automates the optimization of academic theses to reduce AI-detection and plagiarism risk while elevating scholarly writing quality, enabling researchers to meet publication standards with traceable workflow.

Core Features & Use Cases

Three-dimensional optimization: AI-detection reduction, plagiarism reduction, and polishing.
Two-tier document architecture with explicit state tracking and progress visualization for LaTeX projects.
Automatic generation of chapter-level task documents and centralized progress management.

Quick Start

Provide the path to your thesis LaTeX source and ask me to start AI-detection reduction, plagiarism reduction, and polishing.

Frequently Asked Questions about thesis-optimizer

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

FAQPage Schema

How do I reduce AI-detection scores in my computer science thesis while preserving technical content?▼

Thesis optimization reduces AI-detected generation in computer science theses by applying three-dimensional optimization across full documents or individual chapters while preserving core technical content. It tracks optimization state explicitly so progress remains traceable throughout the workflow.

How do I optimize a LaTeX thesis for plagiarism reduction with progress tracking?▼

Plagiarism reduction for LaTeX theses uses a two-tier document architecture with explicit state tracking and progress visualization. You provide the LaTeX source path, and the workflow generates chapter-level task documents with centralized progress management for traceable optimization.

Can I polish individual chapters of my thesis separately instead of optimizing the whole document?▼

Per-chapter refinement is supported alongside full-document optimization. The workflow generates chapter-level task documents and applies AI-detection reduction, plagiarism reduction, and polishing to individual chapters while maintaining centralized progress management and traceable state tracking.

Does thesis optimization work for disciplines outside computer science?▼

Thesis optimization is designed for computer science and related theses. It handles full-document and per-chapter refinement with explicit state tracking, but its optimization for AI-detection reduction, plagiarism reduction, and polishing is tailored to computer science contexts and related technical writing.

What's the best way to track progress when reducing plagiarism and AI-detection risk across multiple thesis chapters?▼

Progress tracking during plagiarism and AI-detection reduction uses a two-tier document architecture with explicit state tracking and progress visualization. The workflow automatically generates chapter-level task documents and manages progress centrally, providing traceable updates throughout the optimization process.