Aaai26 ai Review
by 聊言青
A multi-stage, evidence-grounded academic review agent modeled on the AAAI-26 AI Review Pilot research.
- 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
Free
Sample input
Review the attached PDF of my Latent SDE paper following the AAAI-26 pilot logic. Focus on the technical soundness of my theorems and empirical comparisons in Table 2.
Sample 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.
Aaai26 ai Review
by 聊言青
A multi-stage, evidence-grounded academic review agent modeled on the AAAI-26 AI Review Pilot research.
Free
Included in download
- Downloadable skill package
- Works with Claude Desktop, Cowork
- Instant install
Sample input
Review the attached PDF of my Latent SDE paper following the AAAI-26 pilot logic. Focus on the technical soundness of my theorems and empirical comparisons in Table 2.
Sample 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.
About This Skill
Generate 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
Known Limitations
- Cannot access external non-public databases for citation verification.
- Accuracy depends on PDF OCR quality for complex formulas.
- Does not provide final acceptance scores.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/aaai26-ai-review -o /tmp/aaai26-ai-review.zip && unzip -o /tmp/aaai26-ai-review.zip -d ~/.claude/skills && rm /tmp/aaai26-ai-review.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Claude Desktop, Cowork, and SKILL.md-compatible agents
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