What problem does it solve?
This Skill simulates a rigorous, multi-round academic peer review process to identify weaknesses and improve paper quality before submission, mimicking the evaluation standards of top conferences.
Core Features & Use Cases
- Multi-Model Diversity: Leverages different LLMs (Claude, GPT, Gemini) for specialized reviewer roles (domain expert, methods expert, etc.) to avoid echo chambers and capture diverse perspectives.
- Structured Review Process: Guides users through a phased workflow including paper intake, independent reviews, meta-review synthesis, author response guidance, and revision execution.
- Detailed Feedback: Provides structured reviews covering technical soundness, novelty, methodology, and presentation, including specific line-number references and actionable suggestions.
- Use Case: A researcher preparing a submission to NeurIPS can use this Skill to get comprehensive feedback from simulated expert reviewers, identify critical flaws, and refine their paper before the official submission deadline.
Quick Start
Use the paper-multi-round-review skill to review the attached paper 'my_research_paper.pdf' for submission to a security conference.