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from academic-research-plugin12
Conducts conference-style peer reviews of academic PDFs, assessing novelty, technical soundness, and reproducibility.
This skill transforms an agent into a professional academic reviewer. It analyzes PDF submissions across six critical dimensions: Novelty, Technical Soundness, Clarity, Significance, Reproducibility, and Experimental Design. It can emulate the specific formatting and scoring standards of top-tier AI conferences.
Use this skill when you need to "review a paper", "assess a submission", or generate structured feedback for an academic manuscript. It is ideal for researchers preparing for conference submissions or students learning the peer-review process.
paper_search.py to identify missing related work and relevant citations.Claude Code, OpenClaw, and other agents with PDF reading capabilities and shell access for script execution.
This skill has not been reviewed by our automated audit pipeline yet.
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