Skills for Real Engineers. Straight from my .agents directory.
aaai-reproducibility
Agent skill frombrycewang-stanford/Awesome-Journal-Skills
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
How to install aaai-reproducibility
npx skills add brycewang-stanford/Awesome-Journal-Skills# or add only this skill to Claude Code: copy the folder
AAAI-Skills/skills/aaai-reproducibility/
# into
~/.claude/skills/aaai-reproducibility/ (all projects)
.claude/skills/aaai-reproducibility/ (one project)
1# AAAI Reproducibility23Use this when a draft needs to survive AAAI review on rigor, not just novelty. AAAI-27 requires the4reproducibility checklist to be **uploaded separately** from the main PDF, in its own field on the5submission form (AAAI-26 carried it inside the PDF after the references) — so it is a document a6reviewer opens on its own, and it has to agree with the paper and supplement rather than read as an7afterthought. AAAI-27 also states that reviewers assess reproducibility from what was actually8submitted, and that material promised "after acceptance or publication" is not evidence it exists.910## Reproducibility audit1112- Map each central claim to submitted evidence: theorem, table, figure, ablation, appendix item,13 checklist answer, or code/data artifact.14- Record seeds, splits, preprocessing, hyperparameters, model selection, early stopping, prompt15 selection, and hardware.16- Report variance or uncertainty when stochasticity affects conclusions.17- Document dataset licenses, access constraints, sensitive data, human-subjects issues, and18 annotation procedures.19- Separate training compute, inference compute, and experiment search cost.20- Check the reproducibility checklist for contradictions with the main text and supplement.2122## Common AAAI weaknesses2324- Checklist says code/data are available but supplement lacks runnable commands.25- Main results rely on one seed, one benchmark, or one prompt family.26…
Excerpt shown under the repository's MIT license.
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