AAAI Experiments is an AI Engineering skill for Claude Code, published by brycewang-stanford in Awesome-Journal-Skills.
Audit AAAI experiments for baselines, ablations, significance, robustness, human evaluation, and reproducibility checklist alignment, helping papers survive Phase-1 review by the broad-AI program committee.
AAAI Experiments is cataloged under AI Engineering on DirSkills. AAAI Experiments comes from a repository tagged academic-research, academic-writing, agent-skills, ai-agents and anthropic.
Documentation
Use this before submission to ensure empirical evidence supports the AI contribution. AAAI reviewers may come from adjacent AI subfields, so experiments must be interpretable beyond one benchmark community.
This is the opening of the README. Read the full README on GitHub.
AAAI 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 AAAI 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.
AAAI Experiments ranks #1389 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 AAAI Experiments against them. Open each page to compare what they document and how they install.
AAAI Experiments is one of 53 skills cataloged on DirSkills from brycewang-stanford/Awesome-Journal-Skills.
AAAI Experiments is one of 3670 AI Engineering skills cataloged on DirSkills, ranked #1389 by stars among them.