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Plan and chain Nemotron customization steps v1.0.0

Use this resource to plan and run one or several Nemotron customization steps as a single pipeline

New

  • 556 downloads
  • 187 likes
  • 145 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install nemotron-training-pipeline-planner

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent identifies the requested steps (curation, translation, SFT or PEFT, RL, checkpoint conversion, optimization, evaluation), then composes the repository commands into a single-step or multi-step pipeline. It does not cover front-end work or billing.

Mostly picked by

Updated November 2, 2026

Card for the “Plan and chain Nemotron customization steps” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md : routing, rules and procedure
  • references/COMMANDS.md : commands per step
  • references/CATALOG.md : step catalogue

Good fit for

  • You want to fine-tune a Nemotron model and then evaluate it
  • You chain curation and translation before a training run

Not for

    Tags

    • nemotron
    • fine-tuning
    • pipeline
    • evaluation
    • curation

    About

    You say

    “Chain curation, SFT fine-tuning and evaluation of my Nemotron checkpoint.”

    Card for the “Plan and chain Nemotron customization steps” skill

    Skill published by nvidia under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to plan and run one or several Nemotron customization steps as a single pipeline
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.6 KB
    • BENCHMARK.md3.7 KB
    • evals/evals.json9.8 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/act/PROJECT.md7.4 KB
    • references/act/STAGE.md9.1 KB
    • references/ARTIFACTS.md5 KB
    • references/CATALOG.md13.2 KB
    • references/COMMANDS.md9.5 KB
    • references/context/automodel-launcher-executor-modes.txt2.4 KB
    • references/context/automodel-pretrain.txt6.1 KB
    • references/context/automodel-sft-peft-core.txt2.2 KB
    • references/context/byob-benchmark-curator-translation.txt5 KB
    • references/context/checkpoint-conversion.txt1.8 KB
    • references/context/curator-data-acquisition.txt2.4 KB
    • references/context/curator-processing-language-quality.txt1.8 KB
    • references/context/curator-translation-faith.txt4.8 KB
    • references/context/data-designer-sdg.txt4.7 KB
    • references/context/eval-deploy-formats.txt1.8 KB
    • references/context/eval-sovereign-benchmarks.txt2.1 KB
    • references/context/eval-standard-nlu.txt1.8 KB
    • references/context/index.toml7.6 KB
    • references/context/mbridge-parallelism-performance.txt2 KB
    • references/context/mbridge-pretrain.txt1.8 KB
    • references/context/mbridge-sft.txt1.9 KB
    • references/context/modelopt-optimization.txt8.5 KB
    • references/context/nemo-rl-alignment.txt5.9 KB
    • references/context/nemotron-data-prep.txt6.2 KB
    • references/context/README.md1.7 KB
    • references/examples/CALIBRATION.md2.6 KB
    • references/HARDWARE.md3.2 KB
    • references/PATTERNS.md4 KB
    • references/WORKFLOW.md5.3 KB
    • skill-card.md4.2 KB
    • SKILL.md16.5 KB
    • skill.oms.sig11.9 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/nemotron-customize
    Licence
    Apache-2.0

    Notice

    « nemotron-customize » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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