nvidia · Agent Skills

52 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

nvidia

官方

tao-run-inference-service

Start, query, and stop a network-specific TAO inference microservice ({networkarch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.

安装量

1

GitHub Stars

3471

最近更新

9月25日

Apache-2.012 文件

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nvidia

官方

tao-run-on-brev

Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev MCP server; this skill covers only the TAO-specific part — running the container over brev exec via the four-verb docker contract. Trigger phrases include "run on Brev", "Brev GPU instance", "TAO on Brev", "submit job to Brev".

安装量

1

GitHub Stars

3471

最近更新

9月25日

Apache-2.07 文件

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nvidia

官方

tilegym-converting-cutile-to-julia

Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.

安装量

1

GitHub Stars

3349

最近更新

9月19日

CC-BY-4.0 AND Apache-2.017 文件

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nvidia

官方

warp-compile-time-optimizer

- Use when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the first wp.launch; seconds of compiling before real work begins; JIT modules recompiling on every run or every CI job. Only applies when the code being optimized uses Warp kernels. Not for steady-state kernel runtime, memory, correctness, building Warp itself from source, or nvcc/C++ build times.

安装量

1

GitHub Stars

3469

最近更新

9月25日

Apache-2.077 文件

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