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auto-paper-improvement-loop

Automate two-round research paper improvement via cross-model review and automated fixes.

Updated Mar 17, 2026
Search Tags:#workflow-automation#latex#ai-review#state-persistence#paper-improvement
One-click install
npx skills add https://github.com/loujc/Auto-claude-code-research-in-sleep-manual --skill auto-paper-improvement-loop-loujc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-paper-improvement-loop
Source: https://github.com/loujc/Auto-claude-code-research-in-sleep-manual/tree/main/skills/auto-paper-improvement-loop
Command: npx skills add https://github.com/loujc/Auto-claude-code-research-in-sleep-manual --skill auto-paper-improvement-loop-loujc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the iterative improvement of a generated research paper by performing expert reviews and automated fixes across two rounds, reducing manual polishing time.

Core Features & Use Cases

  • Two-round workflow: initial critique and fixes followed by a second pass to polish arguments, notation, and presentation.
  • Persistent state and recovery: saves progress and can resume after interruptions.
  • Automated recompile and artifacts: produces updated main.pdf and a detailed log of changes.
  • Applied after a paper plan and compilation step to tighten theory, fix inconsistencies, and enhance readability.

Quick Start

Provide the path to a compiled paper directory (e.g., paper/) to initiate the 2-round improvement loop.

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 iterative paper improvement for a compiled LaTeX document?▼

Automated iterative paper improvement applies cross-model AI reviews and automated fixes across two rounds to tighten arguments, correct inconsistencies, and enhance readability of a compiled LaTeX document.

What is a two-round AI review workflow for research papers?▼

A two-round AI review workflow performs an initial critique and automated fixes, followed by a second pass to polish arguments, notation, and presentation for a generated research paper.

Do I need a compiled LaTeX workflow before running automated paper fixes?▼

Yes, automated paper fixes require a compiled LaTeX workflow directory to initiate the improvement loop, applying reviews and changes directly to the generated research paper files.

Can I resume automated paper improvement after an interruption?▼

Yes, the automated paper improvement workflow uses persistent state tracking via a JSON file to save progress, allowing the iterative review and fix loop to resume after interruptions.

What artifacts are generated by an automated AI paper review loop?▼

An automated AI paper review loop generates an updated main.pdf through automated recompilation and a detailed PAPER_IMPROVEMENT_LOG.md documenting all applied changes.

Does the automated paper improvement loop work with GPT models via Codex MCP?▼

Yes, the automated paper improvement loop requires GPT-5.4 xhigh via Codex MCP to perform cross-model expert reviews and apply automated fixes across two rounds.

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