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AlexWortegaAlexWortegaCommunity·1 Agent Skills Included

ai-peer-review-skill

Multi-reviewer peer review of academic papers with meta-review

Runs a full multi-reviewer peer review of any academic paper from a PDF, DOCX, or text file. Spawns independent anonymized reviewers in parallel, each checking methods, statistics, novelty, and reproducibility with mandatory arXiv prior-art lookups. Synthesizes a meta-review with consensus verdict, per-reviewer verdicts, and a CSV concerns matrix. Eliminates slow manual critique cycles and surfaces weaknesses before journal submission.
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npx skills add AlexWortega/ai-peer-review-skill --all -g -y

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AlexWortegaAlexWortega

ai-peer-review-skill

Generate parallel critiques and meta-analysis for academic paper peer review.

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Frequently Asked Questions

FAQPage Schema
How to install ai-peer-review-skill?▼

Run `npx skills add AlexWortega/ai-peer-review-skill --all -g -y` in your terminal to install the skill globally.

How to get an AI peer review of my paper?▼

Point the skill at your PDF, DOCX, or text file and it spawns several independent reviewers, then delivers individual reviews, a synthesized meta-review, and a final verdict.

What does the meta-review include?▼

It lists each reviewer's exact verdict, common and unique concerns, a usefulness ranking of reviewers, a consensus verdict, and a CSV table mapping which reviewer raised which concern.

Does it check for missing prior art?▼

Yes. Every reviewer must run at least one arXiv search to verify novelty claims and cite missing related work by arXiv ID, so no fabricated references appear.

Do I need extra API keys to run paper reviews?▼

No. It runs entirely on parallel Claude subagents inside Claude Code, so no OpenAI, Google, or other API keys are required.

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