claesbackmanclaesbackmanCommunity·4 Agent Skills Included

AI-research-feedback

Referee-style reviews for papers, grants, and research code

Reviews academic papers, grant proposals, and pre-analysis plans with multi-agent referee reports tailored to specific journals and funders. Catches spelling errors, inconsistent numbers, unsupported causal claims, and reproducibility gaps before referees or panels find them. Converts papers into policy briefs and PDFs into clean markdown to speed up research workflows.
npx skills add claesbackman/AI-research-feedback --all -g -y

All Skills in This Repository (4)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install AI-research-feedback?

Run `npx skills add claesbackman/AI-research-feedback --all -g -y` in your terminal to install all review skills globally.

How to get feedback on a research paper before submission?

Run /review-paper for a full 8-agent referee report targeting journals like AER or QJE, or /review-paper-light for a fast 2-agent check on contribution and identification.

Can it check if my code matches my paper?

Yes. The review-paper-code skill maps your paper's main empirical claims to your Stata, R, or Python code and flags reproducibility gaps, while audit-analysis hunts for errors in changed analysis code.

Does it work with Claude Code?

Yes. All skills follow the standard SKILL.md format and run as slash commands inside Claude Code, with reviews saved to a dated reviews/ folder.

Can it review grant proposals and pre-analysis plans?

Yes. The review-grant skill runs a 6-agent panel review for funders like NSF, NIH, or ERC, and review-pap checks pre-analysis plans against registry standards like AEA or OSF.

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