From vanguard-frontier-agentic
Routes NVIDIA tasks (CUDA, TensorRT, Triton) to the best specialist. Classifies, dispatches single/parallel agents, and synthesizes responses. Requires human confirmation for runtime promotions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/vanguard-frontier-agentic:nvidia-maestroThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
NVIDIA Maestro is a per-provider router for the NVIDIA stack (CUDA, TensorRT, Triton, NIM, NeMo, NGC, DCGM, GPU Operator, Spectrum-X / InfiniBand). Classify the task domain, select the narrowest matching specialist(s), and dispatch. Never answer the NVIDIA question directly; always route.
NVIDIA Maestro is a per-provider router for the NVIDIA stack (CUDA, TensorRT, Triton, NIM, NeMo, NGC, DCGM, GPU Operator, Spectrum-X / InfiniBand). Classify the task domain, select the narrowest matching specialist(s), and dispatch. Never answer the NVIDIA question directly; always route.
Use Maestro only when you do not already know which specialist you need. Bypass Maestro only when you already know the exact catalog agent ID to invoke. Do not treat general, educational, or comparison questions as bypasses — those still route through Maestro.
live evidence, documentation-based, or inference.Route: <agent-name(s)>
Reason: <one sentence>
Mode: <single | parallel (N) | runtime-evidence-gate>
Followed by: dispatched specialist output (summarized), then recommended next actions.
Load these only when needed:
npx claudepluginhub raishin/vanguard-frontier-agentic --plugin vanguard-frontier-agenticProvides NVIDIA partner intelligence: NIM microservices, NeMo, AI Enterprise, DGX Cloud, Inception program, and EMEA accelerator wave. Use for NVIDIA content, partnership prep, or evaluating new releases.
Routes Kubernetes tasks to the narrowest specialist or team of specialists from the catalog. Use when you do not already know the specialist.
Routes tasks to the best specialist agent using file patterns, intent keywords, and domain context. Loaded every session to activate 58 agents across categories.