A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Adversarially audit changed analysis code against a base ref, hunting for correctness errors in sample construction, merges, variable construction, silent failures, and clustering or fixed effects. Runs in an isolated subagent. Use before circulating results or submitting. This is not a reproducibility or…
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Explain a code change as a standalone offline HTML page with a five-question quiz. Reads the diff and the surrounding code from scratch, states the consequences for the empirical results, and saves the page outside the repository under a dated filename.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Convert a LaTeX research paper into a policy brief, 1-page summary, or 5-page summary for a general audience, with factual review and a standalone HTML page for GitHub Pages.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Split a PDF into chunks and convert it to readable markdown text. Use when the user wants to read, extract, or convert a PDF document.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Run a 6-agent pre-submission panel review for a grant proposal targeting a specified funder or program.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Run a fast 3-agent mechanical check of an economics paper — spelling and grammar, internal consistency and cross-references, and unsupported claims. Reports fixable errors, not editorial judgment.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
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.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Completes in 1 minute.
claesbackman/AI-research-feedback
Skill Claude CodeCodex
Run an 8-agent pre-submission referee report for an academic paper targeting a specified journal.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: