Review research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designed for social science / economics projects with LaTeX papers and Stata, R, or Python code.
How to install review-paper-code?
claesbackman/ai-research-feedback/review-paper-code
$npx -y skills add claesbackman/ai-research-feedback --skill review-paper-codeInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/claesbackman/ai-research-feedback" --skill "claesbackman/ai-research-feedback/review-paper-code"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/claesbackman/ai-research-feedback" that are relevant to the current task. Run `npx skills add "https://github.com/claesbackman/ai-research-feedback"` and select the relevant skills, then follow their instructions.
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