auto-paper-improvement-loop

Iteratively review and recompile LaTeX papers using GPT-5.4 feedback.

Updated May 29, 2026
One-click install
npx skills add https://github.com/TabithaFanny/ThesisX --skill auto-paper-improvement-loop-tabithafanny
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-paper-improvement-loop
Source: https://github.com/TabithaFanny/ThesisX/tree/main/skills_imported/aris/skills/auto-paper-improvement-loop
Command: npx skills add https://github.com/TabithaFanny/ThesisX --skill auto-paper-improvement-loop-tabithafanny

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gpt-5.4, latexmk, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of iteratively improving a generated paper through AI-powered reviews and recompilation, ensuring enhanced quality and readiness for submission.

Core Features & Use Cases

  • AI-Driven Review: Utilizes GPT-5.4 to provide detailed reviews on the quality of the paper, focusing on theoretical rigor, claims vs evidence alignment, and presentation.
  • Iterative Recompilation: Automatically applies suggested fixes and recompiles the paper up to two rounds, improving the paper's quality after each iteration.
  • Use Case: Ideal for academic writers who want to enhance the quality of their papers through AI-powered feedback and iterative refinement.

Quick Start

To initiate the auto-paper-improvement-loop for your paper, use the command: 'auto-paper-improvement-loop "path/to/your/paper/directory/"'

Frequently Asked Questions about auto-paper-improvement-loop

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

FAQPage Schema
How do I use AI to review and improve my LaTeX paper automatically?

AI review for LaTeX papers is automated by running the auto-paper-improvement-loop command on your paper directory. The Skill uses GPT-5.4 to analyze theoretical rigor and evidence alignment, then applies fixes and recompiles the document.

What is iterative recompilation for academic writing and how does it work?

Iterative recompilation for academic writing applies AI-generated feedback to a LaTeX document and recompiles it up to two rounds. Each iteration targets specific quality issues like claims versus evidence alignment and presentation to enhance paper readiness.

Do I need a specific LaTeX environment and GPT-5.4 access for automated paper improvement?

Yes, automated paper improvement requires access to GPT-5.4 for generating AI reviews and a LaTeX environment with latexmk for document compilation. These dependencies are necessary to execute the iterative review and recompilation loop.

Can I use automated AI feedback to fix theoretical rigor and evidence alignment in my academic paper?

Yes, automated AI feedback evaluates theoretical rigor and claims versus evidence alignment in academic papers. The Skill generates detailed reviews on these specific quality dimensions and automatically applies suggested fixes before recompiling the LaTeX document.

How many rounds of revision does the AI paper improvement loop perform?

The AI paper improvement loop performs up to two rounds of iterative revision. During each round, GPT-5.4 provides feedback on the LaTeX paper, applies suggested fixes, and recompiles the document to progressively enhance overall quality.