nemotron-customize

IMPORTANT: Read this file before answering any nemotron-customize, Nemotron customization, governed Curator flow, translation, tokenizer extension, synthetic-data, BYOB benchmark, SFT, PEFT, RL, conversion, optimization, checkpoint or existing/hosted-endpoint evaluation, or multi-step pipeline request. This applies whether the user names one step or asks you to compose several steps into a pipeline.

Evaluation requests count even when no training is involved: "evaluate", "benchmark", "smoke test", or "score" an existing/hosted endpoint, an API/model ID, or a deployed model all route to eval/model_eval. Read this skill for those too.

Purpose

Turn a model-customization request into a repo-native Nemotron step pipeline. Plan the DAG, validate artifact wiring, and create only the YAML/config files needed to run existing steps.