jeff-dean

jeff-dean is a System design & architecture decisions skill for AI agents, published by K-Dense-AI in the mimeo repository on GitHub. Skillspace rates jeff-dean C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Applies the engineering and research philosophies of Jeff Dean, Chief Scientist at Google DeepMind and Google Research. Reach for this skill whenever you are designing large-scale distributed systems, optimizing latency and energy efficiency, or making architectural decisions about machine learning infrastructure. It should trigger automatically for topics involving hardware-ML co-design, model distillation, sparse activation, massively multi-task models, or scaling systems by 5x to 10x. Use this skill to evaluate system bottlenecks, transition from specialized to unified models, and optimize experimental velocity. Apply his mental models to avoid premature 100x scaling and to treat AI models as reasoning engines rather than memorization databases.

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

230

Unproven: rated by static analysis only, not yet compared head-to-head.

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