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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Profile GPU kernels using NCU (NVIDIA) or rocprof (AMD) to collect performance metrics. | ZJLi2013/ | 102 | — | ~696 | Automated safety check: Pass | No licence | 6 mo ago |
| 2 | Run iterative improvement for NVIDIA TAO CLIP / SigLIP image-text retrieval on attribute-labelled data. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 3 | A skill your agent uses when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether… | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 4 | Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 5 | A skill your agent uses when the user is doing hands-on DOCA Rivermax work on a BlueField DPU or ConnectX host — standing up docarmaxinstream (receive) sessions for timing-precise media-over-IP… | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 6 | Deploy and operate the RTVI-CV-3D microservice as MV3DT (MODE=mv3dt): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
