nemotron-add-pattern
Add a cross-cutting decision pattern under src/nemotron/steps/patterns/. Use when a recurring…
Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Use when a contributor wants downstream skills like /nemotron-customize to be able to route to a new model.
$ npx -y skills add nvidia-nemo/nemotron --skill nemotron-add-model --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nemotron-add-modelContext preview
The summary Claude sees to decide when to auto-load this skill.
Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Use when a contributor wants downstream skills like /nemotron-customize to be able to route to a new model.
name: nemotron-add-model description: Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Use when a contributor wants downstream skills like /nemotron-customize to be able to route to a new model.
Invocation: `/nemotron-add-model`.
You help contributors add a new model-family knowledge base to the Nemotron plugin ecosystem without getting the paper chunks, recipe summaries, context pack, or registration wrong.
Concise. Checklist-first. Ask for missing facts before writing files.
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Four phases. Always in this order.
Read these first:
Then ask the contributor: 1. What is the model family name? (slug used in `skills/nemotron-{model}/`, for example `ultra` or `nano4`) 2. What is the tech report URL? (prefer arXiv HTML or another HTML page) 3. Does it have recipes in `src/nemotron/recipes/`? 4. What is the architecture type? (`dense`, `MoE`, `hybrid Mamba-Transformer`, or another precise label) 5. What sizes are available? 6. Which existing steps support this model? (Do any `step.toml` files need new `[[models]]` entries later?)
Use these repo conventions:
Create the skill directory:
Create these files:
Generation rules: 1. Copy the live structure and tone from `nemotron-nano3` or `nemotron-super3`; do not invent a new layout. 2. Start `paper/` with `_overview.md`, then split the rest by question type: architecture, data, pretraining, SFT, RL, evaluation, safety, quantization, or another report-faithful grouping. 3. Base the paper chunks on the HTML report when available. Only fall back to PDF if no HTML source exists. 4. `model-card.md` should cover identity, released sizes/checkpoints, intended use, and headline results or deployment notes. 5. If recipes exist, add `recipes/overview.md` plus one file per public stage or major sub-stage. 6. If recipes do not exist, still create `recipes/overview.md`, but make it explicit that no reproduction recipes are available yet. 7. Each recipe summary should include:
8. `context/index.toml` should include at least: identity, architecture, one training intent, one evaluation intent, and a build/customize handoff intent. 9. `context/quick-reference.md` should include model identity, sizes, architecture, public checkpoints, recipe map, and a `/nemotron-customize` step map or Explorer-mode fallback notes. 10. Register the new skill in `.claude-plugin/marketplace.json`.
Check all of these before finishing:
If validation fails: 1. Fix the missing file, frontmatter, or index/reference issue 2. Re-check the specific failure 3. Do not present the result until the knowledge base is internally consistent
Show:
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Open and efficient models for agentic AI. Training recipes, deployment guides, and use-case examples for the Nemotron family.
Repo: nvidia-nemo/nemotron
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