acmmm-artifact-evaluation

SKILLFlujo de trabajocomunidad
v0.0.0brycewang-stanfordMITActualizado hace 12 dFuente →

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,

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
993Estrellas del repo
1Clientes
1Formatos
hace 12 dÚltima actualización
Skill
Autorbrycewang-stanford
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
PromptAbrir (ver la pestaña Prompt)
Compatibilidad
Claude✓ Compatible
Cursor
Copilot
ChatGPT
Gemini
Acerca de

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.

Palabras clave
skillclaude