Skills for Real Engineers. Straight from my .agents directory.
aamas-reproducibility
Agent skill frombrycewang-stanford/Awesome-Journal-Skills
Use when strengthening AAMAS reproducibility evidence for interaction claims, including proofs and game definitions, opponent and population sets, self-play protocols, random seeds, compute, uncertainty on strategic outcomes, baselines, and consistency between what the paper claims about agents and what the artifact can actually show.
How to install aamas-reproducibility
npx skills add brycewang-stanford/Awesome-Journal-Skills# or add only this skill to Claude Code: copy the folder
AAMAS-Skills/skills/aamas-reproducibility/
# into
~/.claude/skills/aamas-reproducibility/ (all projects)
.claude/skills/aamas-reproducibility/ (one project)
1# AAMAS Reproducibility23Use this before submission and again before camera-ready. The reproducibility question at AAMAS4is not only "can I rerun the model" but "can I reproduce the *interaction* - the same agents,5the same game, the same emergent outcome."67## Evidence map89- Map each theorem, mechanism property, convergence claim, and empirical interaction claim to a10 verifiable location in the paper, appendix, supplement, or artifact.11- For theory, state the game, the information structure, the solution concept, assumptions,12 proof dependencies, and failure modes clearly enough for a game theorist.13- For experiments, report the environment, number of agents, opponent/population set, training14 regime, evaluation opponents, metrics, hyperparameter ranges, chosen settings, seeds,15 repeated runs, compute, and runtime.16- For small or noisy strategic differences, add uncertainty: standard errors, confidence17 intervals, or paired tests over seeds and over opponents.18- Explain any missing code or environment honestly, and describe how a reader could reproduce19 the interaction in principle.20- Keep the artifact consistent with the paper; a claim the artifact cannot demonstrate is a21 review-risk multiplier.2223## Claim-to-evidence audit table2425| Claim | Pure-theory answer | Learning-plus-game answer |26|---|---|---|27| Solution concept reached | Proof with the game and information structure stated | Plus convergence curves under other agents' adaptation |28…
Excerpt shown under the repository's MIT license.
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