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Freedeveloper-toolsUniversal
aaai26-ai-review
A multi-stage, evidence-grounded academic review agent modeled on the AAAI-26 AI Review Pilot research.
skill install https://www.promptspace.in/skills/aaai26-ai-reviewGenerate high-quality AI-assisted peer reviews modeled on the publicly described logic of the AAAI-26 AI Review Pilot. This skill implements a multi-stage review pipeline: it decomposes the paper into specialized analysis dimensions (contributions, methodology, experiments, presentation), synthesizes findings, self-critiques the draft for unsupported claims, and runs a final quality check for anonymity leaks and citation hallucinations.
Output follows a structured format (Synopsis, Summary of Review, Strengths, Weaknesses with Major/Minor labels, References) — no accept/reject verdict by default, mirroring the AAAI-26 design philosophy of AI-as-assistance rather than AI-as-decision-maker.
Compatible with PDF input. Works for any venue: AAAI, NeurIPS, ICML, ACL, CVPR, and more.
Use cases
- Conduct pre-submission critiques for research paper drafts
- Identify missing baselines and related work in empirical AI papers
- Verify notation consistency and mathematical correctness in technical sections
- Generate objective second opinions for conference program committees
Example
Prompt
Run a AAAI-style review on this PDF and check for technical correctness in the proofs.
Output
Strengths: - Novel application of Latent SDEs to time-series forecasting. Weaknesses: - Major: Missing comparison with [Source B] in Table 2. - Major: Theorem 3.1 assumes Lipschitz continuity without proof. - Minor: Notational conflict between Eq. 4 and Eq. 7 regarding the 'lambda' term.
Frequently asked questions
The agent uses a multi-stage pipeline that breaks papers down into specific dimensions (methodology, experiments, etc.) and performs internal self-critiques to ensure all claims are grounded in the paper's actual evidence, reducing common AI hallucinations.