nemotron-3-ultra-text2sql-lora

Run the Nemotron-3 Ultra Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on their SLURM cluster: data prep, distributed checkpoint conversion, and packed LoRA fine-tuning of the 550B hybrid Mamba-Transformer MoE, ending at a saved adapter. Use when the user wants to run this cookbook, fine-tune Nemotron-3 Ultra with LoRA, or adapt the notebook to their own cluster.

Quality

88%

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Securityby

Low

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Quality

Content

85%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.

The runbook is a well-structured, validation-rich workflow with strong actionability and clean single-file organization. Slight verbosity in the information-gathering section and reliance on notebook cells rather than inlined commands are the only minor gaps.

Suggestions

Inline the actual sbatch/squeue/sacct command snippets alongside the 'launch/check/sanity' cell references so the guidance is copy-paste ready without opening the notebook.

Tighten the 'Information to gather from the user' section by collapsing the per-field prose into a compact checklist to save tokens.

Consider a short reference file for the full config.env key list so the main body can stay a lean overview.

Dimension	Reasoning	Score
Conciseness	Lean runbook that assumes competence (no basic SLURM/LoRA/MoE primers) and gives specific values like 48 GPUs and a ~15-min warmup; a few gathering-friction passages could be tightened slightly.	4 / 5
Actionability	Concrete guidance with specific paths ($WORKSPACE/dataprep/training.jsonl, latest_checkpointed_iteration.txt) and commands (sbatch/squeue/sacct), but it defers execution to notebook cells rather than inlining copy-paste commands.	4 / 5
Workflow Clarity	Three steps sequenced in order with an explicit launch/check/sanity loop per step, idempotent re-run, and a friction section giving error-recovery guidance for batch multi-node jobs.	5 / 5
Progressive Disclosure	Single well-organized SKILL.md with clearly signaled sections and no nested references; no bundle files exist, and the overview appropriately stands alone.	5 / 5
	Total	18 / 20 Passed

Description

92%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.

The description is specific, complete, and highly distinct, clearly stating both the end-to-end workflow and concrete use-when triggers. Only minor room for more keyword synonyms keeps it just shy of perfect on trigger term quality.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — data prep, distributed checkpoint conversion, and packed LoRA fine-tuning ending at a saved adapter — with comprehensive coverage of the pipeline.	5 / 5
Completeness	Explicitly states both what it does (end-to-end tutorial: data prep, convert, fine-tune to a saved adapter) and when to use it via a concrete 'Use when...' clause.	5 / 5
Trigger Term Quality	Natural trigger phrases like 'run this cookbook', 'fine-tune Nemotron-3 Ultra with LoRA', and 'adapt the notebook' cover what a user would say, though a few synonyms/extensions are absent.	4 / 5
Distinctiveness Conflict Risk	Targets a very specific niche (Nemotron-3 Ultra Text2SQL LoRA on Megatron-Bridge/SLURM) with distinct triggers and minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

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: usage-cookbook/Nemotron-3-Ultra/lora-text2sql/nemo-megatron-bridge/SKILL.md
Commit: 1a4c3fa

Reviewed: 4 days ago

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