AAMAS Experiments is a Quality skill for Claude Code, published by brycewang-stanford in Awesome-Journal-Skills.
Guides the design and audit of multi-agent experiments for AAMAS, focusing on interaction claims, opponent selection, equilibrium metrics, and reproducibility. Ensures experiments probe strategic interactions rather than single-agent performance.
AAMAS Experiments is cataloged under Quality on DirSkills. AAMAS Experiments comes from a repository tagged academic-research, academic-writing, agent-skills, ai-agents and anthropic.
Documentation
Use this before submission when the empirical or simulation story is not yet locked. At AAMAS the experiment exists to test the interaction claim, not to top a benchmark.
This is the opening of the README. Read the full README on GitHub.
AAMAS Experiments 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 Experiments 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 Experiments ranks #854 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 Experiments against them. Open each page to compare what they document and how they install.
AAMAS Experiments is one of 53 skills cataloged on DirSkills from brycewang-stanford/Awesome-Journal-Skills.
AAMAS Experiments is one of 1897 Quality skills cataloged on DirSkills, ranked #854 by stars among them.