claudemods
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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.

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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 181–200 条，共 394 条结果

  • kermt-monitor技能

    Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).

    392ab8ab2587

  • kermt-pretrain-scratch技能

    Pretrain a fresh KERMT model from scratch on a user-provided corpus. Builds a new vocabulary from the corpus, instantiates the model architecture from defaults, and launches pretrain_ddp.py inside the kermt container (detached for long run…

    392ab8ab2587

  • kermt-setup技能

    Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test inside the container. Every other kermt-* skil…

    392ab8ab2587

  • launch-nemo-rl技能

    Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.

    392ab8ab2587

  • mcore-create-issue技能

    Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.

    392ab8ab2587

  • mcore-linting-and-formatting技能

    Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.

    392ab8ab2587

  • mcore-run-on-slurm技能

    How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, contai…

    392ab8ab2587

  • mcore-split-pr技能

    Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.

    392ab8ab2587

  • mcore-testing技能

    Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.

    392ab8ab2587

  • medtech-model-evidence-export技能

    Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. Use after inference, including NV-Generate runs; not for live train…

    392ab8ab2587

  • molmim-nim技能

    Use this skill for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. Invoke for MolMIM, molecular embeddings, hidden states, latent decoding, sampling around a seed SMILES, CMA-ES guided…

    392ab8ab2587

  • msa-search-nim技能

    Generate multiple sequence alignments (MSAs) for protein sequences using the ColabFold MSA-Search NIM. Use for homolog search, UniRef30/ColabFold env searches, A3M or FASTA alignments, paired MSA search for complexes, PDB70 structural temp…

    392ab8ab2587

  • msa-structure-prediction-pipeline技能

    NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein st…

    392ab8ab2587

  • nemo-automodel-distributed-training技能

    Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.

    392ab8ab2587

  • nemo-automodel-launcher-config技能

    Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

    392ab8ab2587

  • nemo-automodel-model-onboarding技能

    Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.

    392ab8ab2587

  • nemo-automodel-recipe-development技能

    Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.

    392ab8ab2587

  • nemo-fabric-build-adapter技能

    Build, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. Use when creating adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implement…

    392ab8ab2587

  • nemo-fabric-integrate技能

    Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory…

    392ab8ab2587

  • nemo-mbridge-mlm-bridge-training技能

    Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.

    392ab8ab2587

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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没有记录到指向这个仓库的别名。

不支持的市场条目 0

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