Use when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations, ablations, seeds, hyperparameters, compute, and claim-to-evidence fit - with emphasis on experiments that probe the interaction rather than chase a single-agent leaderboard.
How to install aamas-experiments?
brycewang-stanford/awesome-journal-skills/aamas-experiments
$npx -y skills add brycewang-stanford/awesome-journal-skills --skill aamas-experimentsInstalls 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/aamas-experiments"` 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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