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auto-paper-improvement-loop

Automate two-round paper review, fix, and recompile loops with state recovery.

1|Updated Mar 26, 2026
Search Tags:#workflow-automation#latex#research-writing#document-quality#llm-review#paper-improvement
One-click install
npx skills add https://github.com/Lingrongye/federated-learning --skill auto-paper-improvement-loop-lingrongye
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-paper-improvement-loop
Source: https://github.com/Lingrongye/federated-learning/tree/main/Auto-claude-code-research-in-sleep/skills/auto-paper-improvement-loop
Command: npx skills add https://github.com/Lingrongye/federated-learning --skill auto-paper-improvement-loop-lingrongye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomously improve a generated paper via a two-round review → implement fixes → recompile, enabling iterative enhancement of writing quality and presentation.

Core Features & Use Cases

  • Two-round improvement loop: review, fix, and recompile to enhance rigor and clarity.
  • State persistence and logging: saves progress to PAPER_IMPROVEMENT_STATE.json and PAPER_IMPROVEMENT_LOG.md for recovery and auditing.
  • End-to-end LaTeX workflow: handles paper/main.pdf and compiled artifacts, with deterministic recompile steps.

Quick Start

Provide the path to the compiled paper directory to start the two-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 paper improvement and polish a research paper autonomously?▼

Automate paper improvement by running a two-round review-fix-recompile loop that assesses theoretical rigor, writing clarity, and presentation to autonomously polish your research paper.

How does the LaTeX workflow recompile loop handle state persistence for iterative paper enhancement?▼

The LaTeX workflow handles state persistence by saving progress to PAPER_IMPROVEMENT_STATE.json and logging iterations in PAPER_IMPROVEMENT_LOG.md, enabling recovery and auditing across the review-fix-recompile loop.

Do I need GPT-5.4 xhigh via Codex MCP to run the autonomous paper improvement loop?▼

Yes, the autonomous paper improvement loop requires GPT-5.4 xhigh via Codex MCP to perform the two-round review and implement fixes across iterations.

Can I enable a human checkpoint during the two-round review-fix-recompile loop for research writing?▼

Yes, the two-round review-fix-recompile loop optionally enables a human checkpoint, allowing manual review during the iterative enhancement of writing quality and presentation.

What is the best way to start the two-round paper improvement loop for a compiled LaTeX document?▼

The best way to start the two-round paper improvement loop is to provide the path to the compiled paper directory containing paper/main.pdf and compiled artifacts.

What limitations exist when using autonomous paper improvement for generated research documents?▼

Limitations include its dependency on GPT-5.4 xhigh via Codex MCP and its design as a post-compilation tool, meaning it applies only after the initial paper is generated and compiled.

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