Plan and configure repo-native Nemotron customization workflows from existing steps: curate/nemo_curator JSONL cleaning, translate/nemo_curator corpus translation, sft/automodel, peft/automodel, sft/megatron_bridge, peft/megatron_bridge, pretrain/CPT, rl/nemo_rl alignment, byob/mcq benchmarks, convert/megatron_to_hf and other checkpoint conversion, optimize/modelopt, eval/model_eval, env/env_toml profiles, and end-to-end pipelines.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin nemotron-customize in NVIDIA/skills. Commands read from the repo's manifest — today.
nemotron-customizePlan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env pro
Build DeepStream GStreamer pipelines interactively. Collects input source, inference, tracker, and output preferences, then assembles a ready-to-run gst-launch-1.0 pipeline using BM25 retrieval over 270+ verified pipelines (zero external dependencies).
1 skill
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered workflows.
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