en un clic
pi-repro
pi-repro contient 4 skills collectées depuis EricJahns, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Read an academic paper and extract its method, datasets, hyperparameters, compute needs, and every reproducible quantitative result into structured claims. Use as the first step of reproducing a paper, after init_reproduction.
Write the final reproduction report for a paper — a per-claim comparison of reported vs reproduced values, overall fidelity, deviations, blockers, and next steps. Use as the last step of reproducing a paper, after claims have been attempted.
Reproduce the quantitative results of an academic paper. Use when asked to reproduce, replicate, or verify the results/numbers/tables/figures of a paper, given a link, PDF, arXiv id, or DOI (optionally with a reference GitHub repo). Orchestrates ingest → gap-analysis → plan → per-claim reproduction → report.
Analyze a paper's reference code repository against the paper to determine what is actually implemented versus missing, partial, or stubbed. Use when a GitHub repo (or local code) was provided for reproducing a paper, before planning the reproduction.