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auto-paper-improvement-loop

Automates two rounds of review-fix-recompile for LaTeX papers.

1|Updated Apr 2, 2026
Search Tags:#workflow#iteration#latex#ai-assisted#peer-review#paper-writing
One-click install
npx skills add https://github.com/Best6668/AMIS --skill auto-paper-improvement-loop-best6668
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-paper-improvement-loop
Source: https://github.com/Best6668/AMIS/tree/main/skills/auto-paper-improvement-loop
Command: npx skills add https://github.com/Best6668/AMIS --skill auto-paper-improvement-loop-best6668

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill automates the post-write improvement cycle of a generated paper, systematically identifying and fixing issues in rhetoric, rigor, and presentation to raise quality within two rounds of review.

Core Features & Use Cases

  • End-to-end paper quality improvement: after initial drafting, run automated reviews, implement fixes, recompile LaTeX, and track progress with state persistence for recovery.
  • Two-round refinement: structure the process into Round 1 fixes and Round 2 refinements, with structured prompts and configurable review depth.
  • Optional human checkpoint and robust logging: pause for human input if enabled and maintain a comprehensive log of reviews and changes.

Quick Start

Run the auto-paper-improvement-loop on your paper directory to start two rounds of review and fixes.

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 paper review and fixes after drafting?▼

Automated LaTeX paper review runs two iterative cycles to identify inconsistencies, missing references, and formatting issues, then applies structured fixes and recompiles to enhance rigor and clarity.

What is the iterative paper improvement process for academic writing?▼

The iterative paper improvement process systematically refines academic writing through two automated review-fix-recompile rounds, logging progress and persisting state to ensure recovery and quality enhancement.

Can I use automated peer review without adding unsupported claims to my paper?▼

Automated peer review enforces strict guardrails to avoid adding unsupported claims, ensuring the original intent is preserved while fixing rhetoric, rigor, and presentation issues.

Does the automated paper refinement loop support human checkpoints?▼

Automated paper refinement supports optional human checkpoints, allowing you to pause for manual input during the two-round review and fix cycle while maintaining comprehensive logs.

What are the limitations of using AI-assisted paper writing workflows for LaTeX?▼

AI-assisted paper writing workflows are limited to post-drafting refinement and cannot generate initial content, relying on configurable review depth and state persistence to avoid losing track of applied fixes.

How do I recover from a failed automated paper compilation during the review loop?▼

Recovering from a failed automated paper compilation relies on state persistence and comprehensive logging, allowing you to resume the review-fix-recompile loop from the last saved progress point.

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