Aaai26 ai Review
A multi-stage, evidence-grounded academic review agent modeled on the AAAI-26 AI Review Pilot research.
Free
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsaaai26-ai-review
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the aaai26-ai-review
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.
Connects securely to your tools. The creator never sees your data.
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.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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Reviews
18 people have installed this skill.
Trust & safety
Security scanned
Verified clean 5 months ago
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