AAAI Artifact Evaluation is a Quality skill for Claude Code, published by brycewang-stanford in Awesome-Journal-Skills.
Prepare AAAI artifact packages (code, data, appendices) for reproducibility while maintaining double-blind submission rules. Avoid common mistakes that lead to summary rejection.
AAAI Artifact Evaluation is cataloged under Quality on DirSkills. AAAI Artifact Evaluation comes from a repository tagged academic-research, academic-writing, agent-skills, ai-agents and anthropic.
Documentation
Use this to prepare artifacts that reviewers can use to assess reproducibility. AAAI supplementary material is part of the submission record; after review starts, do not assume it can be updated.
This is the opening of the README. Read the full README on GitHub.
AAAI Artifact Evaluation is one of 53 skills that DirSkills catalogs from brycewang-stanford/Awesome-Journal-Skills, the repository it ships in. Its siblings there include AAAI Author Response, AAAI Camera Ready and AAAI Experiments. Each one is a separate skill with its own page in this directory, installs the same way AAAI Artifact Evaluation 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 Artifact Evaluation ranks #850 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 AAAI Artifact Evaluation against them. Open each page to compare what they document and how they install.
AAAI Artifact Evaluation is one of 53 skills cataloged on DirSkills from brycewang-stanford/Awesome-Journal-Skills.
AAAI Artifact Evaluation is one of 1897 Quality skills cataloged on DirSkills, ranked #850 by stars among them.