claudemods

来源nvidia/skills

nvidia/skills 已索引

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

查看上游仓库

已索引 索引里有这个仓库的包记录。包数量是历史登记记录,不代表这些包现在仍可用。

仓库

规范名称
NVIDIA/skills
GitHub 仓库 ID
1167034425
包记录
394 (历史登记记录,不代表现在仍可用)

发现与队列

首个记录来源
marketplace:anthropics/claude-plugins-official
发现于
队列状态
ok
记录的错误次数
0
最近完成的处理
下次检查资格
起具备资格

首个记录来源是队列第一次保存的来源,不是完整的发现历史。错误次数在处理以错误状态结束时增加,成功处理后清零,不是全部尝试次数。「最近完成的处理」是结束时间,不是开始时间。

资格按 计算。它不是排期:采集器每次运行只处理有限数量的来源,具备资格也不保证何时检查。

最近保存的扫描

仓库元数据读取于
扫描状态
complete
扫描保存于
识别器版本
2
续扫记录
没有

扫描记录与队列状态分开:队列状态说明处理进度,扫描记录说明最近一次保存了什么。有续扫记录只表示存有未完成的状态,没有剩余数量。

源文件证据覆盖

已存储的包版本在这个仓库中引用的固定源文件的原始计数。它反映已记录了什么,不代表仓库有多完整。

范围与限制

统计所有已存储版本(来自任何包)中指向本仓库规范名称的不同固定文件链接(仓库、提交、路径)。本仓库所拥有的包的文件,只有被某个版本在这里链接时才会计入。不合并别名,也不会根据当前名称推测历史。

「已知」表示已记录普通文件身份,不表示整个目录或包已被覆盖。不是有效固定文件 URL 的链接不计入。

引用了 395 个固定源文件

  • 395 已知
  • 0 提交中不存在
  • 0 文件列表截断
  • 0 不受支持
  • 0 尚无记录
  • 0 读取失败

按仓库、提交和路径去重;同一路径出现在两个提交中,按两个文件身份计数。不是组件组数。

读取失败的提交 0

尚无记录的文件没有对应的提交读取失败记录。

关联的包 394

按仓库的已验证身份关联。数量是历史登记记录,不是当前可用性。

第 261–280 条,共 394 条结果

  • nvflare-shared技能

    Internal NVFLARE conversion references and templates. Use only when another NVFLARE skill directs you to a shared workflow, policy, or asset.

  • nvidia-skill-finder技能

    Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, Ne…

  • nvidia-skills插件

    Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered workflows.

  • nvmolkit-usage技能

    Use when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches.

  • omniverse-cad-to-simready技能

    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 conform…

  • omniverse-realtime-viewer技能

    Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.

  • omniverse-usd-performance-tuning技能

    Top-level workflow skill for USD performance diagnosis and optimization. Handles slow loading, high memory, low FPS, and broad scene-optimization requests; delegates auth/runtime setup to Phase 0 owners.

  • openfold2-nim技能

    Use this skill for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. Invoke whenever the user mentions OpenFold2, AlphaFold2-like monomer folding, protein sequence-to-structure prediction, A3M MSAs, mmC…

  • openfold3-nim技能

    Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with th…

  • paidf-augmentation技能

    Use when authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or image-to-video inference.

  • paidf-auto-labeling技能

    Use when a user needs to get started with PAIDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, or configure a stage. Confirm critical inputs (data path, output path, endpoi…

  • paidf-cosmos-predict技能

    Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples.

  • paidf-curation-and-retrieval技能

    Use when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining nearest-neighbor matching on Curator embeddings. Activate for Make or CLI…

  • paidf-orchestration-setup技能

    Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. Select for requests to set up, install, deploy, configure, or check a PAIDF Orchestration en…

  • paidf-orchestration-write-dag技能

    Use when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling…

  • physical-ai-defect-image-generation技能

    Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit aug…

  • physical-ai-event-video-generation技能

    Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-v…

  • physical-ai-image-attribute-augmentation技能

    Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute se…

  • physical-ai-infrastructure-setup-and-resilient-scaling技能

    Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO …

  • physical-ai-neural-reconstruction技能

    Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.

已保存的扫描说明 0

没有保存额外的扫描说明。

记录的别名 0

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不支持的市场条目 0

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没有记录到不支持的条目。