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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Ensure consistent code formatting using the uv package manager and pre-commit. | brendanhasz/ | 175 | — | ~381 | Automated safety check: Pass | MIT | 14 days ago |
| 2 | Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file. | ML4ITS/ | 166 | — | ~178 | Automated safety check: Pass | MIT | 7 mo ago |
| 3 | 3.Edit how to use the edit command properly | omegaml/ | 108 | — | ~206 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards. | Orchestra-Research/ | 13k | — | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX… | dotnet/ | 5.6k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 6 | Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~4.6k | Automated safety check: Pass | Unknown | yesterday |
| 7 | Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse… | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. | Mathews-Tom/ | 329 | — | ~3.5k | Automated safety check: Notes | MIT | 5 days ago |
