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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | OpenVINO — real-time object detection via Docker (NCS2, Intel GPU, CPU) | SharpAI/ | 3.1k | — | ~1.3k | Automated safety check: Pass | MIT | 23 days ago |
| 2 | Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV. | NVIDIA/ | 3.6k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 3 | Runs TAO Data Services gap analysis that compares ground-truth and predicted boxes to find weak images by per-class recall, precision and AP50. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 4 | Build an end-to-end UAV object detection and telemetry overlay application on Intel hardware using DL Streamer Pipeline Server with MAVLink telemetry. | open-edge-platform/ | 140 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | today |
| 5 | Compares a vision-language model's yes/no predictions with ground truth and writes the false-positive and false-negative cases to a JSONL file with a summary report. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 6 | Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 7 | A skill your agent uses when running a Docker Agent with docker agent run, choosing a safety/approval mode, using the --sandbox isolation flag, setting up aliases, or troubleshooting a run (missing… | docker/ | 552 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 8 | Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and… | open-edge-platform/ | 171 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | 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 | yesterday |
| 10 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 11 | Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command — point it at your video sources and an OpenVINO/ONNX model to get live annotated… | open-edge-platform/ | 140 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | today |
