Individual skill
nemotron-customize
Plan, 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 profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize, evaluate, or compose these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding tasks.
skills/nemotron-customize/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 3,913
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: claude-code
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- nemotron Declared skill tag
- customization Declared skill tag
- training Declared skill tag
- pipelines Declared skill tag
- engineering Derived category
- operations Derived category
- data Derived category
Files and excerpt
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Browse files
.claude-plugin/plugin.jsonasset · 639 bytesBENCHMARK.mddoc · 3,742 bytesSKILL.mdcore · 16,527 bytesSKILL.mdcore · 16,527 bytesSKILL.mdcore · 16,527 bytesSKILL.mdcore · 16,527 bytesSKILL.mdcore · 16,527 bytesSKILL.mdcore · 16,527 bytesevals/evals.jsonasset · 9,921 bytesreferences/ARTIFACTS.mddoc · 4,959 bytesreferences/CATALOG.mddoc · 13,337 bytesreferences/COMMANDS.mddoc · 9,540 bytesreferences/HARDWARE.mddoc · 3,189 bytesreferences/PATTERNS.mddoc · 4,080 bytesreferences/WORKFLOW.mddoc · 5,307 bytesreferences/act/PROJECT.mddoc · 7,340 bytesreferences/act/STAGE.mddoc · 9,078 bytesreferences/context/README.mddoc · 1,658 bytesreferences/context/automodel-launcher-executor-modes.txtdoc · 2,445 bytesreferences/context/automodel-pretrain.txtdoc · 6,146 bytesreferences/context/automodel-sft-peft-core.txtdoc · 2,200 bytesreferences/context/byob-benchmark-curator-translation.txtdoc · 5,026 bytesreferences/context/checkpoint-conversion.txtdoc · 1,822 bytesreferences/context/curator-data-acquisition.txtdoc · 2,356 bytesreferences/context/curator-processing-language-quality.txtdoc · 1,775 bytesreferences/context/curator-translation-faith.txtdoc · 4,879 bytesreferences/context/data-designer-sdg.txtdoc · 4,711 bytesreferences/context/eval-deploy-formats.txtdoc · 1,787 bytesreferences/context/eval-sovereign-benchmarks.txtdoc · 2,090 bytesreferences/context/eval-standard-nlu.txtdoc · 1,766 bytesreferences/context/index.tomlasset · 7,566 bytesreferences/context/mbridge-parallelism-performance.txtdoc · 2,038 bytesreferences/context/mbridge-pretrain.txtdoc · 1,831 bytesreferences/context/mbridge-sft.txtdoc · 1,883 bytesreferences/context/modelopt-optimization.txtdoc · 8,498 bytesreferences/context/nemo-rl-alignment.txtdoc · 5,853 bytesreferences/context/nemotron-data-prep.txtdoc · 6,203 bytesreferences/examples/CALIBRATION.mddoc · 2,588 bytesskill-card.mddoc · 4,187 bytesskill.oms.sigasset · 12,201 bytes
Read excerpt
# nemotron-customize
IMPORTANT: Read this file before answering any `nemotron-customize`,
Nemotron customization, Curator curation, translation, 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