NVIDIA/Model-Optimizer/accessing-mlflow A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/accessing-mlflow
Query and browse evaluation results stored in MLflow.
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Product Manager Skills by Dean Peters46Development and Testing40Marketing Skills by Corey Haines32Megatron-Bridge29TensorRT-LLM25NemoClaw23Security Skills by Trail of Bits Team21Specialized Domains17Context Engineering17Marketing16Productivity and Collaboration16NeMo-RL14Megatron-Core12cuopt12video-search-and-summarization10Model-Optimizer8n8n Automation7TileGym7NeMo-Gym5NeMo-Evaluator-Launcher3deepstream2CUDA-Q1DALI1NeMo-Evaluator1Language
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SKILL.md8Results
NVIDIA/Model-Optimizer/debug A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/debug
Run commands inside a remote Docker container via the file-based command relay (tools/debugger).
NVIDIA/Model-Optimizer/deployment A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/deployment
Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM.
NVIDIA/Model-Optimizer/evaluation A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/evaluation
Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator Launcher (NEL).
NVIDIA/Model-Optimizer/launching-evals A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/launching-evals
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
NVIDIA/Model-Optimizer/monitor A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/monitor
Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters.
NVIDIA/Model-Optimizer/ptq A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/ptq
This skill should be used when the user asks to "quantize a model", "run PTQ", "post-training quantization", "NVFP4 quantization", "FP8 quantization", "INT8 quantization", "INT4 AW...
NVIDIA/Model-Optimizer/release-cherry-pick A Agent Skill Active
NVIDIA/skills/skills/Model-Optimizer/release-cherry-pick
Cherry-pick merged PRs labeled for a release branch into that branch, then open a PR and apply the cherry-pick-done label.