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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. | Raidriar7170/ | 125 | 5 repos | ~1.4k | Automated safety check: Pass | MIT | 13 days ago |
| 2 | 2.Flowio Parse FCS (Flow Cytometry Standard) files v2.0-3.1. An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 10 repos | ~4.2k | Automated safety check: Pass | MIT | today |
| 3 | Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals. | HKUDS/ | 35k | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 4 | Builds the code for a frozen research experiment test-first, with leakage controls, seed handling and saved evidence so results can be rerun and audited. | Light0305/ | 640 | — | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 4 days ago |
| 6 | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. | alirezarezvani/ | 28k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 7 | Selects biomarker features from high-dimensional omics data using Boruta all-relevant selection, mRMR, LASSO/elastic-net, and stability selection, while controlling the leakage, irreproducibility… | GPTomics/ | 1.2k | 1 repo | ~4.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 8 | Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. | jaechang-hits/ | 371 | 1 repo | ~4k | Automated safety check: Pass | BSD-3-Clause | 10 days ago |
| 9 | GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. | Mathews-Tom/ | 328 | — | ~3.5k | Automated safety check: Notes | MIT | 3 days ago |
| 10 | A skill your agent uses for MLAlgorithms (mla) educational machine-learning implementations: classical estimators, clustering/reduction, metrics, NeuralNet building blocks, and DQN examples. | VectorSpaceLab/ | 330 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |