auto-paper-improvement-loop

Automate two-round LaTeX paper improvement with persistent state and logs.

2|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/satsuki-64/MiniAgentWorkflow --skill auto-paper-improvement-loop-satsuki-64
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-paper-improvement-loop
Source: https://github.com/satsuki-64/MiniAgentWorkflow/tree/main/.skills/auto-paper-improvement-loop
Command: npx skills add https://github.com/satsuki-64/MiniAgentWorkflow --skill auto-paper-improvement-loop-satsuki-64

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates two-round, autonomous paper improvement to reduce manual editing, ensuring rigor and clarity across LaTeX manuscripts.

Core Features & Use Cases

  • Two-round autonomous review and fix cycle using GPT-5.4 xhigh capabilities.
  • Persistent state, progress logging, and automatic LaTeX recompilation to publish-ready PDFs.
  • Recovery and resumption from saved state, ensuring resilience to interruptions.
  • Use Case: a researcher with a drafted LaTeX paper wants systematic improvements in theoretical rigor and presentation with minimal manual edits.

Quick Start

Run the skill with the target paper directory, e.g., auto-paper-improvement-loop paper/.

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 LaTeX proofreading and academic paper improvements?

You can automate LaTeX proofreading by running a two-round autonomous paper improvement loop that handles theory refinement, presentation enhancements, and syntax corrections across LaTeX sources. It requires a paper directory with section .tex files and outputs updated PDFs.

What is a two-round autonomous paper improvement workflow?

A two-round autonomous paper improvement workflow systematically reviews and fixes LaTeX manuscripts to reduce manual editing. It applies theory refinement, presentation enhancements, and syntax corrections across sources, maintaining persistent state and detailed logs for recovery and resumption.

How do I start an AI-assisted review on my drafted LaTeX paper?

To start AI-assisted review, run the skill with your target paper directory, such as auto-paper-improvement-loop paper/. The directory must contain paper/main.pdf and all section .tex files to process the autonomous two-round improvement cycle.

Does autonomous paper improvement support recovery if the LaTeX compilation is interrupted?

Autonomous paper improvement supports recovery by using PAPER_IMPROVEMENT_STATE.json and PAPER_IMPROVEMENT_LOG.md files. These persistent state files allow the two-round workflow to resume from the saved progress, ensuring resilience to interruptions during LaTeX recompilation.

Can I use this paper improvement loop without a pre-compiled main PDF?

No, you cannot use the paper improvement loop without a pre-compiled main PDF. The skill requires a paper directory containing paper/main.pdf and all section .tex files as prerequisites to begin the autonomous two-round review and syntax correction process.

What is the best way to improve theoretical rigor in an academic paper?

The best way to improve theoretical rigor is using an autonomous paper improvement workflow that systematically refines theory, enhances presentation, and corrects syntax across LaTeX sources with minimal manual edits. It outputs publish-ready PDFs and a comprehensive improvement log.