研究与知识

研究、检索、摘要和知识工作

1098 个 Skills 可用

Skills 列表

tao-launch-workflow

tao-launch-workflow

3.1Kresearch-knowledge

Shared launch intake for any TAO workflow or action. Use when the user wants to run TAO AutoML, train, evaluate, infer, export, generate TensorRT engines, or launch DEFT/workflow jobs on an execution platform.

nvidia avatarnvidia
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hsb-setup

hsb-setup

3.1Kresearch-knowledge

Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity by pinging 192.168.0.2. Use for Holoscan Sensor Bridge setup, build, container launch, and first-connectivity bring-up.

nvidia avatarnvidia
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holoscan-setup

holoscan-setup

3Kresearch-knowledge

Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.

nvidia avatarnvidia
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nemo-rl-brev-etiquette

nemo-rl-brev-etiquette

3Kresearch-knowledge

Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev.

nvidia avatarnvidia
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nv-generate-ct-rflow

nv-generate-ct-rflow

3Kresearch-knowledge

Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review.

nvidia avatarnvidia
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earth2studio-discover

earth2studio-discover

3Kresearch-knowledge

Find Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.

nvidia avatarnvidia
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vss-generate-video-report

vss-generate-video-report

3Kresearch-knowledge

Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.

nvidia avatarnvidia
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nemo-mbridge-perf-moe-long-context

nemo-mbridge-perf-moe-long-context

3Kresearch-knowledge

Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.

nvidia avatarnvidia
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nemo-mbridge-perf-moe-hardware-configs

nemo-mbridge-perf-moe-hardware-configs

3Kresearch-knowledge

Representative, point-in-time MoE training playbooks by hardware and model family. Use them as candidate seeds, then revalidate the exact runtime, semantics, topology, and steady-state throughput.

nvidia avatarnvidia
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nemo-rl-docs

nemo-rl-docs

3Kresearch-knowledge

Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation.

nvidia avatarnvidia
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physicsnemo-discover

physicsnemo-discover

3Kresearch-knowledge

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/PyTorch.

nvidia avatarnvidia
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nemo-rl-auto-research

nemo-rl-auto-research

3Kresearch-knowledge

Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.

nvidia avatarnvidia
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nemotron-retrieval-recipes

nemotron-retrieval-recipes

3Kresearch-knowledge

Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.

nvidia avatarnvidia
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cuopt-numerical-optimization-formulation

cuopt-numerical-optimization-formulation

3Kresearch-knowledge

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.

nvidia avatarnvidia
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cupynumeric-install

cupynumeric-install

3Kresearch-knowledge

Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope.

nvidia avatarnvidia
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wecomcli-doc-manage

wecomcli-doc-manage

2.9Kresearch-knowledge

企业微信文档公共管理:搜索文档(最近浏览/创建)、文档改名、添加文档成员权限、设置文档加入规则。适用于所有文档类型(doc文档 / 在线表格 / 智能表格 / 智能文档)。新建或导入doc文档请使用 wecomcli-doc;新建或导入在线表格请使用 wecomcli-sheet;智能表格内容 CRUD 请使用 wecomcli-smartsheet;生成智能文档请使用 wecomcli-smartpage。"看过哪些文档/浏览历史"类需求走本技能,不要走 wecom_get_user_memory。

wecomteam avatarwecomteam
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dart-write-documentation

dart-write-documentation

2.9Kresearch-knowledge

Rules and formatting guidelines for writing Dart /// API documentation and doc comments. Use when documenting Dart code, writing doc comments for any Dart declaration (libraries, classes, methods, variables, etc.), or when instructed to follow the Effective Dart documentation guidelines.

flutter avatarflutter
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alphaear-stock

alphaear-stock

2.8Kresearch-knowledge

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

rkiding avatarrkiding
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deepstream-import-vision-model

deepstream-import-vision-model

2.8Kresearch-knowledge

Use this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report. Object detection models only.

nvidia avatarnvidia
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rag-eval

rag-eval

2.8Kresearch-knowledge

Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.

nvidia avatarnvidia
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omniverse-cad-to-simready

omniverse-cad-to-simready

2.8Kresearch-knowledge

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.

nvidia avatarnvidia
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nemo-retriever

nemo-retriever

2.8Kresearch-knowledge

Use when the user wants to search, query, extract, transcribe, describe, quote, filter, or aggregate across documents — PDFs, scanned forms / images (`.jpg` `.png` `.tiff`), Office (`.docx` `.pptx`), text (`.html` `.txt`), audio (`.mp3` `.wav` `.m4a`), or video (`.mp4` `.mov`). Prefer this over native Read / Grep for multi-file or non-PDF corpora. Not for: editing files, web browsing, single-file plain-text lookups, fine-tuning.

nvidia avatarnvidia
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alphaear-news

alphaear-news

2.8Kresearch-knowledge

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

rkiding avatarrkiding
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contrarian-setup-gate

contrarian-setup-gate

2.8Kresearch-knowledge

Synthesize the three Jason Shapiro contrarian-pipeline verdicts (COT crowding, news-reaction failure, weekly price-action confirmation) into one actionable setup_status via a fail-closed precedence state machine. Pure, offline synthesis -- no network, no API keys, no computation beyond validation and precedence.

tradermonty avatartradermonty
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