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manuscript-review-panel

Automate multi-agent manuscript review and generate an improvement roadmap.

27|3|Updated Feb 20, 2026
Search Tags:#multi-agent#pubmed#ai-writing#peer-review#biorxiv#literature-search#manuscript-review
One-click install
npx skills add https://github.com/hyeshik/qbio-skills --skill manuscript-review-panel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: manuscript-review-panel
Source: https://github.com/hyeshik/qbio-skills/tree/main/manuscript-review
Command: npx skills add https://github.com/hyeshik/qbio-skills --skill manuscript-review-panel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, pdfplumber, python-docx, markdown, PyMuPDF, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Manuscript-review-panel automates a comprehensive, multi-perspective critique of a manuscript to surface gaps, inconsistencies, and improvement opportunities, delivering an actionable revision roadmap.

Core Features & Use Cases

  • Simulates 13 specialist reviewer personas to evaluate manuscripts from multiple angles (methods, writing, literature context, editorial fit).
  • Produces a unified improvement roadmap that prioritizes changes and guides revision planning.
  • Performs targeted literature searches (PubMed, bioRxiv) to inform references and novelty assessment.
  • Supports both full-panel reviews and subset/high-signal reviews, plus an optional manual orchestration workflow when API access is unavailable.
  • Outputs an interactive HTML report (with Mermaid diagrams) and a Markdown supplement for traceability.

Quick Start

Run the panel on your manuscript file (PDF, DOCX, or TXT) to generate a comprehensive improvement report.

Frequently Asked Questions about manuscript-review-panel

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

FAQPage Schema
How do I automate peer review for a manuscript using multiple AI agents?▼

Automate peer review for a manuscript using multiple AI agents by running a multi-agent panel that simulates 13 specialist reviewer personas to evaluate methods, writing, and literature context, producing a structured improvement roadmap.

Can I run a manuscript critique on a PDF or DOCX file?▼

Yes, you can run a manuscript critique directly on uploaded PDF, DOCX, or plain text files. The panel processes these formats to perform comprehensive multi-perspective reviews and outputs an interactive HTML report with Mermaid diagrams.

How does automated manuscript review assess novelty and literature context?▼

Automated manuscript review assesses novelty and literature context by performing targeted literature searches on PubMed and bioRxiv. These searches inform reference recommendations and evaluate the manuscript's scientific contribution.

Do I need API access to generate a manuscript improvement roadmap?▼

No, you do not need API access to generate a manuscript improvement roadmap. The panel supports an optional manual orchestration workflow when API access is unavailable, allowing you to complete high-signal subset reviews offline.

What is the best way to get structured revision recommendations from a research paper?▼

The best way to get structured revision recommendations from a research paper is using a multi-agent panel that produces a unified improvement roadmap, prioritizing changes and outputting a Markdown supplement for traceability.

What are the limitations of using AI for peer review and manuscript critique?▼

Limitations of using AI for peer review include dependency on external APIs for full automation, though manual orchestration is supported. Literature searches are constrained to PubMed and bioRxiv databases for novelty assessment.

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