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nemotron-lightning35

Reference desk for NVIDIA Nemotron 3.5 Lightning (30B-A3B), a hybrid Mamba-Transformer MoE with MTP built from Nano 3 Base by distillation from Super 3 Base, single-stage text SFT, RLVR, MTP boosting, and W4A16 NVFP4 quantization. Use when the user asks facts about Lightning 3.5 rather than building a pipeline.

Quality

93%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

96%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An exemplary knowledge-base skill body: dense with non-derivable model-specific facts, a precise locate-retrieve-cite workflow, an explicit routing table, and hard guardrails against the Super/Lightning number-confusion trap. The only deduction is that the referenced files are not verifiable in the bundle as provided.

Suggestions

Ensure the referenced files (INDEX.md, paper/*.md, model-card.md, context/quick-reference.md, recipes/overview.md) actually ship in the skill bundle, since the routing table is only as good as the files it points to.

Consider noting in the body where INDEX.md lives or what it contains, so first-time navigation does not depend on an unverified entry point.

DimensionReasoningScore

Conciseness

Nearly every line encodes model-specific knowledge Claude cannot already have ("Lightning-specific results are mainly Table 6 (base), Table 3 (Indic ablations...), and Table 21", the removed-copied-from-Nano doc history, table-level Super/Lightning disambiguation). There is no padding and no explanation of concepts Claude already knows, matching the lean anchor; a 4 would require over-explanation worth trimming, and none is evident.

5 / 5

Actionability

The routing table maps each question type to an exact file ("architecture / dims / MTP head → paper/architecture.md, paper/mtp.md"), the citation format is concretized ("paper/quantization.md → Table 21"), and rules are specific and executable ("State 30B total / 3B active", label every number base/BF16/NVFP4). For an instruction-only knowledge skill this is copy-paste-ready guidance, matching the top anchor.

5 / 5

Workflow Clarity

"Locate → Retrieve → Cite" is a clearly sequenced three-step workflow with a fallback order (INDEX.md, then quick-reference, then smallest file), and the answering rules plus conflict handling ("When the report and the repo docs disagree, say so and give both") act as checklists and error-recovery guidance. This is a read-only retrieval skill, so the destructive/batch validation cap does not apply, and the sequence is unambiguous.

5 / 5

Progressive Disclosure

The design is one level deep and clearly signaled (routing table, source priority list, "read only what you need"), which approaches the top anchor. However, the referenced bundle files (paper/*.md, model-card.md, context/quick-reference.md, recipes/overview.md, INDEX.md) are not present in the provided bundle, so the reference structure cannot be verified against actual files — a minor organization gap that keeps this at 4 rather than 5.

4 / 5

Total

19

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it names a precise niche, covers what the skill knows and when to use it explicitly, and stays in third person without fluff. The only slack is that the capability side leans on one role noun plus model facts, and a few natural synonym triggers are missing.

Suggestions

Lead with an explicit action verb (e.g., "Answers questions about NVIDIA Nemotron 3.5 Lightning...") so the skill's actions, not just the model's facts, are enumerated.

Add natural synonym triggers users may say, such as "speculative decoding", "benchmarks", or "model card", to broaden keyword coverage.

Optionally name the sibling-model boundary in the description (e.g., "not Super 3.5 or Nano 3") to further cut conflict risk with related skills.

DimensionReasoningScore

Specificity

"Reference desk for NVIDIA Nemotron 3.5 Lightning (30B-A3B)" plus "single-stage text SFT, RLVR, MTP boosting, and W4A16 NVFP4 quantization" enumerates several specific capability areas with only minor gaps. It falls short of a 5 because the concrete action side is a single role ("reference desk") while the remainder describes the model itself rather than multiple distinct actions the skill performs.

4 / 5

Completeness

Both halves are explicit: the what ("Reference desk for NVIDIA Nemotron 3.5 Lightning... single-stage text SFT, RLVR, MTP boosting, and W4A16 NVFP4 quantization") and the when ("Use when the user asks facts about Lightning 3.5 rather than building a pipeline") with a concrete trigger phrase and a clear boundary. This matches the top anchor exactly; a 4 would require the when clause to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Natural triggers like "Nemotron 3.5 Lightning", "facts about Lightning 3.5", "NVFP4", and "quantization" give good keyword coverage users would actually say. It is not a 5 because common variations such as "speculative decoding", "benchmarks", or "model card" are absent, leaving a few natural terms missing.

4 / 5

Distinctiveness Conflict Risk

The description pins a specific named model and explicitly scopes against adjacent work ("rather than building a pipeline"), giving a clear niche with distinct triggers and minimal conflict risk. Even against sibling Nemotron skills, the repeated "Lightning 3.5" qualifier disambiguates.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

NVIDIA-NeMo/Nemotron

Path

skills/nemotron-lightning35/SKILL.md

Reviewed

Table of Contents

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