aireview

Identify critical weaknesses in computer science manuscripts using ICML/NeurIPS-style review criteria.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/Si1w/se-research-skills --skill aireview
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aireview
Source: https://github.com/Si1w/se-research-skills/tree/main/skills/aireview
Command: npx skills add https://github.com/Si1w/se-research-skills --skill aireview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill pre-screens final manuscripts by simulating a top AI conference reviewer, helping authors identify missing originality, rigor, and logical consistency before submission.

Core Features & Use Cases

  • Pre-submission critique of originality, rigor, and coherence.
  • Actionable feedback with concrete rewrite suggestions.
  • Use Case: A researcher finalizing a NeurIPS paper runs aireview to surface gaps in claims and experiments.

Quick Start

Upload your manuscript and run aireview to receive a strict pre-review that highlights originality, rigor, and logical consistency.

Frequently Asked Questions about aireview

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

FAQPage Schema
How do I pre-screen a research paper for conference review rigor?

To pre-screen a research paper for conference review rigor, upload your final manuscript and run an automated review. This simulates a top AI conference reviewer to identify critical weaknesses in originality, rigor, and logical coherence before submission.

What is the best way to check my NeurIPS manuscript for originality and logical coherence?

The best way to check a NeurIPS manuscript for originality and logical coherence is to simulate an ICML or NeurIPS-style review. This process evaluates your computer science paper against strict evaluation criteria and outputs concrete, actionable feedback.

Can I get actionable rewrite suggestions for my AI research paper before submission?

Yes, you can get actionable rewrite suggestions for your AI research paper by running a pre-submission critique. The review identifies gaps in claims and experiments, providing concrete feedback to improve originality and logical consistency.

Does this pre-submission review work for both theory and experimental computer science papers?

Yes, this pre-submission review works for both theory and experimental computer science papers. It evaluates final manuscripts across both domains, focusing on originality, rigor, and logical coherence aligned with top AI conference standards.

Why does my paper need a strict pre-review before final submission?

Your paper needs a strict pre-review to surface missing originality, rigor, and logical consistency before actual submission. Identifying critical weaknesses early allows you to apply concrete rewrite suggestions and improve your manuscript's alignment with top conference expectations.