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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Refresh GitNexus indexing and regenerate local GitNexus skills when repository status is stale. | ML4ITS/ | 166 | — | ~264 | Automated safety check: Pass | MIT | 7 mo ago |
| 2 | Ensure consistent code formatting using the uv package manager and pre-commit. | brendanhasz/ | 175 | — | ~381 | Automated safety check: Pass | MIT | 14 days ago |
| 3 | Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps. | Orchestra-Research/ | 13k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use. | davila7/ | 33k | 10 repos | ~2.4k | Automated safety check: Pass | MIT | today |
| 5 | Explains machine learning predictions with SHAP: picking the right explainer, computing Shapley values and drawing waterfall, beeswarm, bar and force plots. | davila7/ | 33k | 11 repos | ~4.6k | Automated safety check: Pass | MIT | today |
| 6 | Covers logging and viewing training metrics, histograms, model graphs, embeddings and profiles with TensorBoard in PyTorch and TensorFlow projects. | Orchestra-Research/ | 13k | 3 repos | ~3.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | 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 |
| 8 | 8.Edit how to use the edit command properly | omegaml/ | 108 | — | ~206 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | Set up conditions for PINA problems. An agent skill from PINA-org/PINA. | PINA-org/ | 798 | — | ~1k | Automated safety check: Pass | MIT | 4 days ago |
| 10 | 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 |
| 11 | 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 |
| 12 | 12.ML Engineer Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps | RightNow-AI/ | 18k | — | ~987 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 13 | A skill your agent uses when creating, migrating, or debugging pixi environments, especially for scientific Python, bioinformatics, single-cell analysis, CUDA/PyTorch, Jupyter/VS Code kernels… | xuzhougeng/ | 1k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 14 | Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~4.6k | Automated safety check: Pass | Unknown | yesterday |
| 15 | 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 |
| 16 | Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. | jaechang-hits/ | 374 | 1 repo | ~4k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
| 17 | Train ML models with scikit-learn, PyTorch, TensorFlow. An agent skill from secondsky/claude-skills. | secondsky/ | 227 | — | ~1.7k | Automated safety check: Pass | MIT | 13 days ago |
| 18 | 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 |
| 19 | A skill your agent uses for PaddleViT's DINO self-supervised vision-transformer pretraining, multi-crop data contracts, teacher/student configuration, single- or multi-GPU launch planning… | VectorSpaceLab/ | 331 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 20 | A skill your agent uses when predicting a column from rows of tabular features with classic models — scikit-learn pipelines, RandomForest, XGBoost/LightGBM, leak-free cross-validation, metrics for… | ericrisco/ | 180 | — | ~4.2k | Automated safety check: Pass | MIT | yesterday |
| 21 | Route text-labeling requests across LDA topic modeling, sklearn baselines, pretrained transformer models, and OpenAI-compatible LLM labeling. | Drchronx/ | 139 | — | ~1.1k | Automated safety check: Pass | Unknown | 4 mo ago |