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skills/nvidia-skill-finder/evals/evals.json
12.1 KB · Oct 2, 2026 · 00:05 UTC
[
{
"id": "nvidia-skill-finder-pos-vehicle-routing",
"question": "I need to solve a vehicle routing problem with time windows and capacity constraints. Is there an NVIDIA skill that can help?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies Decision Optimization as a strong NVIDIA taxonomy match, checks the live NVIDIA skills catalog, and recommends a current cuOpt routing skill rather than implementing a routing solver from memory.",
"expected_behavior": [
"Treats vehicle routing as a strong NVIDIA Decision Optimization signal",
"Checks the live NVIDIA catalog (e.g. `npx skills add nvidia/skills --list`) before naming a specific skill",
"Recommends a cuOpt routing-related skill if present in the catalog",
"Asks before installing the skill",
"Does not implement a routing solver before offering the skill"
]
},
{
"id": "nvidia-skill-finder-pos-gpu-pandas",
"question": "Can you help me accelerate my pandas ETL on GPUs?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies GPU DataFrames / Data Science as a strong NVIDIA taxonomy match, checks the live catalog, and recommends the current cuDF or RAPIDS-related skill if available.",
"expected_behavior": [
"Treats GPU pandas acceleration as a strong NVIDIA Data Science signal",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends a cuDF or accelerated-computing-cudf skill if present",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-pos-openusd-optimization",
"question": "This OpenUSD scene loads slowly and uses too much VRAM. Is there a skill for optimizing it?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies OpenUSD performance tuning as a strong Physical AI / Omniverse signal, checks the live catalog, and recommends the current USD performance tuning skill if available \u2014 distinct from CAD-to-SimReady.",
"expected_behavior": [
"Treats OpenUSD scene optimization as a strong NVIDIA Physical AI signal",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends an Omniverse / OpenUSD performance tuning skill (e.g. omniverse-usd-performance-tuning) if present",
"Does not confuse this with CAD-to-SimReady conversion"
]
},
{
"id": "nvidia-skill-finder-pos-dynamo-kv",
"question": "I want to set up KV-aware routing for an LLM serving endpoint.",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies KV-aware LLM routing as a strong NVIDIA Inference AI / Dynamo signal, checks the live catalog, and recommends a current Dynamo router skill if available.",
"expected_behavior": [
"Treats KV-aware LLM routing as a strong NVIDIA Inference AI signal",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends a Dynamo router skill (e.g. dynamo-router-starter) if present",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-pos-dicom",
"question": "I need to convert a DICOM series into a volume and then run segmentation. Does NVIDIA have skills for that?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies DICOM and medical imaging segmentation as a strong Vision AI signal, checks the live catalog, and recommends current DICOM / NVIDIA medical AI skills if available.",
"expected_behavior": [
"Treats DICOM and segmentation as a strong NVIDIA Vision AI signal",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends current DICOM or medical imaging segmentation skills (e.g. dicom-series-to-volume, nv-segment-ct, nv-segment-ctmr) if present",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-pos-cad-to-simready",
"question": "I have a CAD assembly that needs to become a SimReady OpenUSD asset for simulation.",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies CAD-to-SimReady as a strong Physical AI / Omniverse signal, checks the live NVIDIA catalog, and recommends the current SimReady or Omniverse CAD workflow skill if available.",
"expected_behavior": [
"Treats CAD-to-SimReady as a strong NVIDIA Physical AI signal",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends a SimReady or Omniverse CAD workflow skill (e.g. omniverse-cad-to-simready) if present",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-pos-multigpu-training",
"question": "Help me train a large language model across multiple GPUs with NeMo or Megatron.",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent identifies multi-GPU LLM training and NeMo/Megatron as strong NVIDIA Training AI signals, checks the live catalog, and recommends a current training workflow skill if available.",
"expected_behavior": [
"Treats NeMo, Megatron, and multi-GPU LLM training as strong NVIDIA Training AI signals",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends a current NeMo or Megatron training skill (e.g. nemo-mbridge-mlm-bridge-training, nemo-automodel-distributed-training) if present",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-pos-jetson-driver-install",
"question": "How can I install driver in my Jetson card?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent treats Jetson driver installation as a strong NVIDIA Robotics / Jetson workflow signal, checks the live NVIDIA catalog before naming a skill, and recommends the current Jetson setup or quick-start skill if available.",
"expected_behavior": [
"Invokes the NVIDIA skill finder for the Jetson driver / JetPack / BSP request",
"Attempts `npx skills add nvidia/skills --list` when shell access is available, or uses an approved catalog fallback if the CLI is unavailable",
"Does not count developer.nvidia.com or docs.nvidia.com product documentation as the live catalog check",
"Recommends a Jetson setup skill (e.g. jetson-quick-start) if present",
"Explains that Jetson drivers are normally bundled with JetPack / Jetson Linux rather than installed as standalone desktop drivers",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-pos-jetson-setup",
"question": "How should I setup my Jetson?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent treats Jetson setup as a strong NVIDIA Robotics / Jetson workflow signal, checks the live NVIDIA skills catalog before using product docs as the main answer, and recommends the current Jetson setup or quick-start skill if available.",
"expected_behavior": [
"Invokes the NVIDIA skill finder for the Jetson setup request",
"Attempts `npx skills add nvidia/skills --list` when shell access is available, or uses an approved catalog fallback if the CLI is unavailable",
"Does not count developer.nvidia.com or docs.nvidia.com product documentation as the live catalog check",
"Recommends a Jetson setup skill (e.g. jetson-quick-start) if present",
"Provides practical Jetson setup guidance only after the catalog lookup path",
"Asks before installing the skill"
]
},
{
"id": "nvidia-skill-finder-neg-express-route",
"question": "Add an Express route for POST /api/orders.",
"expected_skill": null,
"expected_script": null,
"ground_truth": "The agent treats 'route' as a web framework route, not a vehicle routing or NVIDIA skill discovery request.",
"expected_behavior": [
"Does not invoke the NVIDIA skill finder",
"Does not recommend cuOpt or any NVIDIA skill",
"Answers or implements the Express route task normally"
]
},
{
"id": "nvidia-skill-finder-neg-react-optimize",
"question": "Optimize my React page load performance and reduce bundle size.",
"expected_skill": null,
"expected_script": null,
"ground_truth": "The agent treats this as ordinary frontend performance work, not NVIDIA skill discovery.",
"expected_behavior": [
"Does not invoke the NVIDIA skill finder",
"Does not recommend Omniverse, GPU, or any NVIDIA skill",
"Handles the frontend performance request normally"
]
},
{
"id": "nvidia-skill-finder-neg-generic-kubernetes",
"question": "Deploy my web API to Kubernetes.",
"expected_skill": null,
"expected_script": null,
"ground_truth": "The agent treats this as generic deployment work because no NVIDIA, GPU, or accelerated infrastructure signal is present.",
"expected_behavior": [
"Does not invoke the NVIDIA skill finder",
"Does not recommend Dynamo, NIM, Holoscan, or any NVIDIA skill",
"Handles the Kubernetes deployment request normally"
]
},
{
"id": "nvidia-skill-finder-neg-python-refactor",
"question": "Refactor this Python module to make the code easier to read.",
"expected_skill": null,
"expected_script": null,
"ground_truth": "The agent treats this as ordinary code refactoring because no NVIDIA, GPU, or acceleration signal is present.",
"expected_behavior": [
"Does not invoke the NVIDIA skill finder",
"Does not recommend any NVIDIA skill",
"Handles the refactor normally"
]
},
{
"id": "nvidia-skill-finder-neg-video-editing",
"question": "Trim this video, add captions, and export it for social media.",
"expected_skill": null,
"expected_script": null,
"ground_truth": "The agent treats this as ordinary video editing work, not NVIDIA Vision AI or VSS.",
"expected_behavior": [
"Does not invoke the NVIDIA skill finder",
"Does not recommend VSS or any Vision AI skill",
"Handles the video editing request normally"
]
},
{
"id": "nvidia-skill-finder-diff-browse-no-keywords",
"question": "Show me what NVIDIA skills exist. I want to browse what's available.",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent treats this as a no-keyword browse request: it offers to list NVIDIA skill domains or fetches the catalog index, rather than dumping every skill or refusing.",
"expected_behavior": [
"Invokes the NVIDIA skill finder",
"Lists NVIDIA skill domains or asks which domain the user wants",
"Optionally fetches the catalog index (e.g. skills.sh.json)",
"Does not dump every skill at once"
]
},
{
"id": "nvidia-skill-finder-diff-deep-research",
"question": "I want to do deep research on a technical topic and synthesize what's known. Any NVIDIA skill for that?",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent routes 'deep research and synthesize' to the AI-Q research skill rather than to RAG or retrieval skills.",
"expected_behavior": [
"Invokes the NVIDIA skill finder",
"Checks the live NVIDIA catalog before naming a specific skill",
"Recommends an AI-Q research skill (e.g. aiq-research) for technical synthesis",
"Does not recommend rag-blueprint, nemo-retriever, or nemo-rl-auto-research as the primary fit"
]
},
{
"id": "nvidia-skill-finder-diff-bare-invocation",
"question": "Help me find an NVIDIA skill.",
"expected_skill": "nvidia-skill-finder",
"expected_script": null,
"ground_truth": "The agent treats the bare invocation as low-signal: it asks a clarifying question about the user's task or offers to browse domains, rather than dumping the catalog or refusing.",
"expected_behavior": [
"Invokes the NVIDIA skill finder",
"Asks a clarifying question about the user's task, or offers domain browse as a path",
"Does not dump every skill at once",
"Does not install a skill without consent"
]
}
]
SHA-256: 75f03167bc45e3eac9b616583ae3dcae7cc8362a8645a2393cfecd7f2444b08e