bybrycewang-stanford· 161 skills
Use when packaging code, models, datasets, or media as ACM MM (ACM Multimedia) artifacts — building the anonymous review package versus the public release, and choosing between the Open Source Software Competition, the Dataset track, the Reproducibility track, and main-track supplementary evidence, each with its own blinding and expectations.
$npx -y skills add brycewang-stanford/awesome-journal-skills --skill acmmm-artifact-evaluationInstalls into the current project.
Run `npx skills use "https://github.com/brycewang-stanford/awesome-journal-skills" --skill "brycewang-stanford/awesome-journal-skills/acmmm-artifact-evaluation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/brycewang-stanford/awesome-journal-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brycewang-stanford/awesome-journal-skills"` and select the relevant skills, then follow their instructions.