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auto-paper-improvement-loop

Review and revise LaTeX academic papers through iterative AI feedback rounds.

Updated May 22, 2026
Search Tags:#academic writing#AI review#iterative refinement#paper improvement#LaTeX processing
One-click install
npx skills add https://github.com/Leo1349/autoresearch --skill auto-paper-improvement-loop-leo1349
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-paper-improvement-loop
Source: https://github.com/Leo1349/autoresearch/tree/main/skills/auto-paper-improvement-loop
Command: npx skills add https://github.com/Leo1349/autoresearch --skill auto-paper-improvement-loop-leo1349

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, matplotlib, gpt-5.4, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the iterative improvement of academic papers through AI-powered review and implementation of suggested fixes.

Core Features & Use Cases

  • Automated Review: Utilizes GPT-5.4 to provide structured, detailed reviews of the paper.
  • Iterative Improvement: Applies fixes to the paper based on review feedback and recomiles the document.
  • Multi-Round Process: Allows for up to two rounds of review and implementation to refine the paper.
  • Use Case: Ideal for authors looking to enhance the quality and clarity of their academic papers before submission.

Quick Start

To improve your paper 'main.pdf', simply use the command: 'auto-paper-improvement-loop "paper/main.pdf"'

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 automate academic paper improvement using AI review?▼

To automate academic paper improvement, this Skill applies iterative rounds of GPT-5.4-driven review and implementation to your document. It evaluates the text, applies suggested fixes, and recompiles the LaTeX document to enhance quality and clarity before submission.

Can I use this automated paper refinement tool with LaTeX documents?▼

Yes, this automated paper refinement tool supports LaTeX-based document compilation. It processes your LaTeX files and recompiles the document after applying AI-suggested fixes during the iterative improvement loop.

Do I need Python and GPT-5.4 access to run the iterative paper review process?▼

Yes, you need Python with pandas and matplotlib libraries for LaTeX processing, along with GPT-5.4 access for AI reviews. These dependencies are required to execute the automated paper improvement loop and generate refined outputs.

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

The paper improvement loop allows for up to two rounds of AI review and implementation. This multi-round process ensures thorough iterative refinement of your academic paper based on structured GPT-5.4 feedback.

Does the automated paper review process allow for manual oversight?▼

Yes, the automated paper review process incorporates user-defined checkpoints for manual oversight. This allows you to review and control the AI-driven iterative refinement stages before the final LaTeX document recompilation.

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