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?
brycewang-stanford/awesome-journal-skills/aaai-reproducibility
$npx -y skills add brycewang-stanford/awesome-journal-skills --skill aaai-reproducibilityInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/brycewang-stanford/awesome-journal-skills" --skill "brycewang-stanford/awesome-journal-skills/aaai-reproducibility"` 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/brycewang-stanford/awesome-journal-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brycewang-stanford/awesome-journal-skills"` and select the relevant skills, then follow their instructions.
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