It assumes Claude's competence — no elementary explanations of Mamba/MoE/quantization — but restates routing across 'Core workflow', 'Source hierarchy', and 'When to cross-link files', and repeats the paper-vs-open-data parity caveat in both 'Source hierarchy' and 'Known caveats'.

Gives exact file paths and config names (e.g. 'src/nemotron/recipes/super3/stage0_pretrain/config/long_context_1m.yaml'), concrete stage orders (RLVR 1 → RLVR 2 → RLVR 3 → SWE 1 → SWE 2 → RLHF), and specific numbers (21 environments, 99.8% median accuracy).

Sequences work explicitly as Locate → Retrieve → Cite with ordered sub-steps, a question-to-file routing table, a source-disagreement branching rule ('If two sources disagree... say both, explain why'), and a Do/Don't checklist.

A clear overview pointing one level deep to well-signaled files (paper/*.md, recipes/*.md, model-card.md, context/quick-reference.md) with a routing table for navigation. The referenced bundle files are not present in this fixture, so the paths could not be verified on disk.

Enumerates multiple concrete coverage areas — 'architecture, training data, recipes (pretrain/SFT/RL/eval/quantization), and deployment notes' — going beyond a single domain to list several specific capabilities.

States what it does ('Reference desk for NVIDIA Nemotron 3 Super...') and when to use it ('Use when the user asks facts about Super3 rather than building a pipeline'), satisfying both with an explicit trigger clause.

Includes the natural product terms a user would say ('NVIDIA Nemotron 3 Super', 'Super3') plus domain terms (pretrain/SFT/RL/eval/quantization) and a natural trigger phrasing ('facts about Super3').

Names a highly specific model and disambiguates from a neighboring skill ('rather than building a pipeline'), giving it a clear niche unlikely to trigger the wrong skill.