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Testing & QA · NVIDIA AI Platform · For developers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Investigates a failing GitHub Actions run or job for Megatron-LM, finds the root cause plus the PR and test author involved, and files a structured bug issue. | NVIDIA/ | 18k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs. | NVIDIA/ | 18k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication. | NVIDIA/ | 23k | — | ~644 | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Review a CV-CUDA operator end-to-end (support / test / bench / docs coverage). | CVCUDA/ | 2.7k | — | ~481 | Automated safety check: Pass | Unknown | 23 days ago |
| 5 | 5.Make Op Add a new CV-CUDA operator end-to-end per .agents/guidance/MAKEOPGUIDELINES.md, with a deterministically-enforced definition-of-done. | CVCUDA/ | 2.7k | — | ~831 | Automated safety check: Pass | Unknown | 23 days ago |
| 6 | Bilingual guide for running and interpreting LLaVA-OneVision2 HF vs Megatron consistency checks across TP and PP settings | EvolvingLMMs-Lab/ | 1.2k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | Set up a K3s cluster on an NVIDIA GPU host, connect it to Azure Arc, and configure Azure ML to use it as a Kubernetes compute target. | microsoft/ | 126 | — | ~5.7k | Automated safety check: Notes | MIT | yesterday |
| 8 | Validate the staging NemoClaw Brev Launchable through its web journey or a deployed environment. | NVIDIA/ | 23k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Classify one failed NemoClaw GitHub Actions job using bounded, redacted logs and optional retained artifacts. | NVIDIA/ | 23k | — | ~806 | Automated safety check: Pass | Apache-2.0 | today |
| 10 | Generate a validation plan and test scaffolding to check a Primus optimization that has been ported into a user's own training framework, across correctness (numerical accuracy vs a reference)… | AMD-AGI/ | 131 | — | ~1.5k | Automated safety check: Pass | Unknown | today |
| 11 | Review a CV-CUDA operator's test coverage, including C++ correctness, required cross-layout parity, correctness rigor, and the Python API surface. | CVCUDA/ | 2.7k | — | ~264 | Automated safety check: Pass | Unknown | 23 days ago |
| 12 | Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines | microsoft/ | 126 | — | ~469 | Automated safety check: Pass | MIT | yesterday |
| 13 | A skill your agent uses when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame… | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 14 | Stage 1 of Clinical ASR Flywheel. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 15 | Execute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 16 | Test system for Megatron-LM. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
