nemotron-customize
v0.1.1Plan 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.
By NVIDIA Nemotron Team0 GitHub starsUpdated 3 hours ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 1 skill or MCP entry
- Source updated
- Aug 30, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install nemotron-customize for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install nemotron-customize-2@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/Trapezohe/ghast-pluginsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/nvidia/upstream-signed/skills/nemotron-customize/.
Plugin files
├── .claude-plugin/plugin.json└── SKILL.md
Included Skills1
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.
Plugin manifests1
{
"name": "nemotron-customize",
"description": "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.",
"version": "0.1.1",
"author": {
"name": "NVIDIA Nemotron Team"
},
"homepage": "https://github.com/NVIDIA/Nemotron",
"skills": [
"./"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[nemotron-customize on Agent Plugins Marketplace](https://pluginsmp.com/plugins/nemotron-customize-2)