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claesbackman
GitHub creator profile

claesbackman

Repository-level view of 10 collected skills across 1 GitHub repositories.

skills collected
10
repositories
1
updated
Aug 27, 2026
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Where the skills live

Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

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Repositories and representative skills

review-paper-checks
unclassified

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.

Aug 27, 2026
audit-analysis
unclassified

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…

Aug 26, 2026
paper-version
unclassified

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.

Aug 26, 2026
pdf-to-markdown
unclassified

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.

Aug 26, 2026
explain-diff
software-developers

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.

Aug 2, 2026
review-grant
postsecondary-teachers-all-other

Run a 6-agent pre-submission panel review for a grant proposal targeting a specified funder or program

Jul 5, 2026
review-pap
postsecondary-teachers-all-other

Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal

Jul 5, 2026
review-paper-code
software-quality-assurance-analysts-and-testers

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.

Jul 5, 2026
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