academic-paper-reviewer

Automate a five-agent peer-review workflow producing reports, an editorial decision, and a revision roadmap.

1|Updated May 9, 2026
One-click install
npx skills add https://github.com/xrb936/academic-research-skills-claude --skill academic-paper-reviewer-xrb936
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: academic-paper-reviewer
Source: https://github.com/xrb936/academic-research-skills-claude/tree/main/academic-paper-reviewer
Command: npx skills add https://github.com/xrb936/academic-research-skills-claude --skill academic-paper-reviewer-xrb936

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Multi-perspective, AI-driven paper review that simulates a full editorial panel to identify gaps, biases, and improvement opportunities across disciplines.

Core Features & Use Cases

  • Simulates 5 reviewers (Editor-in-Chief + 3 peer reviewers + Devil's Advocate) with field-specific expertise to generate independent feedback.
  • Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided review, and calibration modes.
  • Produces a consolidated Editorial Decision and a structured Revision Roadmap, enabling seamless integration into manuscript workflows.
  • Use cases include pre-submission screening, revision guidance after first feedback, and cross-disciplinary evaluation for larger research programs.

Quick Start

Submit a manuscript to initiate a full 5-agent review, then receive 5 reports plus a final editorial decision and revision roadmap.

Frequently Asked Questions about academic-paper-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get AI peer review for my academic paper before submission?

AI peer review for an academic paper is generated by submitting your manuscript to a multi-agent workflow that simulates five specialized reviewers, producing independent reports, an editorial decision, and a revision roadmap.

What is a multi-agent peer-review workflow for manuscripts?

A multi-agent peer-review workflow automates evaluation by simulating an editorial panel with five distinct reviewer perspectives, including a Devil's Advocate, to identify manuscript gaps, biases, and improvement opportunities.

Can I use AI paper review for a methodology-focused evaluation?

AI paper review supports methodology-focused evaluation through specialized modes, allowing you to target specific manuscript sections and receive structured feedback tailored to your research design.

How does the editorial decision process work in automated peer review?

The editorial decision in automated peer review consolidates feedback from five independent AI reviewers into a final judgment, accompanied by a structured revision roadmap to guide manuscript improvements.

Does the AI reviewer provide a revision roadmap after evaluating a manuscript?

The AI reviewer provides a structured revision roadmap after evaluation, detailing actionable improvements derived from five independent reports to integrate directly into manuscript revision workflows.

What are the limitations of using AI for peer review in higher education?

AI peer review in higher education simulates panel feedback but operates through defined blind and visible phases, meaning it provides structured guidance and calibration rather than replacing human editorial judgment.