AAMAS Reproducibility is a Quality skill for Claude Code, published by brycewang-stanford in Awesome-Journal-Skills.
Audit and strengthen reproducibility evidence for multi-agent interaction claims in AAMAS papers, covering game definitions, opponent sets, seeds, uncertainty, and artifact consistency.
AAMAS Reproducibility is cataloged under Quality on DirSkills. AAMAS Reproducibility comes from a repository tagged academic-research, academic-writing, agent-skills, ai-agents and anthropic.
Documentation
Use this before submission and again before camera-ready. The reproducibility question at AAMAS is not only "can I rerun the model" but "can I reproduce the interaction - the same agents, the same game, the same emergent outcome."
This is the opening of the README. Read the full README on GitHub.
AAMAS Reproducibility is one of 53 skills that DirSkills catalogs from brycewang-stanford/Awesome-Journal-Skills, the repository it ships in. Its siblings there include AAAI Artifact Evaluation, AAAI Author Response and AAAI Camera Ready. Each one is a separate skill with its own page in this directory, installs the same way AAMAS Reproducibility does, and is maintained by brycewang-stanford in that same repository. The rest of the collection is listed on the brycewang-stanford/Awesome-Journal-Skills page.
AAMAS Reproducibility ranks #855 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AAMAS Reproducibility against them. Open each page to compare what they document and how they install.
AAMAS Reproducibility is one of 53 skills cataloged on DirSkills from brycewang-stanford/Awesome-Journal-Skills.
AAMAS Reproducibility is one of 1897 Quality skills cataloged on DirSkills, ranked #855 by stars among them.