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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | 4 mo ago |
| 2 | Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints. | Orchestra-Research/ | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. | Raidriar7170/ | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | 12 days ago |
| 4 | Reference patterns for writing qiskit 2.x code for variational quantum machine learning: feature maps, VQC training, VQE for chemistry, MPS circuits and noise models. | aiming-lab/ | 15k | — | ~4.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/. | comet-ml/ | 175 | — | ~1k | Automated safety check: Pass | No licence | 1 mo ago |
| 6 | Shows how to organize PyTorch training with Lightning's LightningModule and Trainer, covering validation, DDP, callbacks and learning-rate scheduling. | Orchestra-Research/ | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | 7.Geoml Working knowledge of the geoML Python package (github.com/italo-goncalves/geoML): variational Gaussian processes for spatial data, implicit geological modelling, block models, drillhole data… | italo-goncalves/ | 109 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 | 5 days ago |
| 8 | Turns a plain-language model training request into a validated QuantMind training config file that can be imported from the Model Training page. | qusong0627/ | 1.7k | — | ~1.5k | Automated safety check: Pass | AGPL-3.0 | today |
| 9 | Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from… | open-edge-platform/ | 169 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
| 10 | A skill your agent uses for GPU-accelerated machine learning on tabular data using NVIDIA cuML. | wahyudesu/ | 114 | — | ~1.8k | Automated safety check: Pass | MIT | 5 mo ago |
| 11 | 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 |
| 12 | Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery. | Orchestra-Research/ | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | Guides time series machine learning with the aeon toolkit: classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search. | davila7/ | 32k | 14 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 14 | 14.Precise Online (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance. | microprediction/ | 336 | — | ~782 | Automated safety check: Pass | MIT | 2 days ago |
| 15 | Declare the pipeline from data source to predictor as a skrub DataOps graph. | probabl-ai/ | 137 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | today |
| 16 | Works with genomic intervals using gtars, a Rust toolkit with Python bindings: overlap detection, coverage tracks, tokenization for ML models and reference sequences. | davila7/ | 32k | 12 repos | ~1.9k | Automated safety check: Pass | MIT | today |
| 17 | Builds machine learning pipelines on clinical data with PyHealth: EHR datasets, prediction tasks, medical code mapping, healthcare models and evaluation. | davila7/ | 32k | 12 repos | ~4.4k | Automated safety check: Pass | MIT | today |
| 18 | Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks. | davila7/ | 32k | 12 repos | ~3.7k | Automated safety check: Pass | MIT | today |
| 19 | Explains machine learning predictions with SHAP: picking the right explainer, computing Shapley values and drawing waterfall, beeswarm, bar and force plots. | davila7/ | 32k | 12 repos | ~4.6k | Automated safety check: Pass | MIT | today |
| 20 | 20.Modal Run Python code in the cloud with serverless containers, GPUs, and autoscaling. | davila7/ | 32k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 21 | Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks. | Orchestra-Research/ | 13k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 22 | 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 | 1 repo | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 23 | Process split datasets into training, validation, and testing sets for ML model development. | jeremylongshore/ | 2.8k | 1 repo | ~836 | Automated safety check: Pass | MIT | today |
| 24 | Prepares, validates and runs DP-GEN simplify jobs that thin out repeated or redundant DeepMD datasets, generating param.json and machine.json for local or scheduler runs. | jinzhezenggroup/ | 148 | — | ~2.7k | Automated safety check: Pass | LGPL-3.0-or-later | 2 days ago |
| 25 | 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 | today |
| 26 | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. | alirezarezvani/ | 28k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 27 | 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/ | 641 | — | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 28 | Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main. | liangdabiao/ | 290 | — | ~513 | Automated safety check: Pass | No licence | 5 mo ago |
| 29 | Generates python code that evaluates SageMaker models. An agent skill from awslabs/agent-plugins. | awslabs/ | 915 | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 30 | 30.Modal Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. | K-Dense-AI/ | 48k | 1 repo | ~4.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 31 | 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 | 2 days ago |
| 32 | 32.Scikit Learn Supports machine learning in Python with scikit-learn. An agent skill from K-Dense-AI/scientific-agent-skills. | K-Dense-AI/ | 48k | 1 repo | ~3.3k | Automated safety check: Notes | BSD-3-Clause | 2 days ago |
| 33 | Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation… | zLanqing/ | 4.6k | — | ~1.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 34 | OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. | oracle/ | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 35 | 35.Mle Workflow Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. | affaan-m/ | 275k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | 3 days ago |
| 36 | Generates Python code using BigQuery DataFrames (BigFrames). | google/ | 21k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 37 | Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. | secondsky/ | 462 | — | ~3.2k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 38 | 38.Sap Hana ML SAP HANA Machine Learning Python Client (hana-ml) development skill. | secondsky/ | 462 | — | ~1.7k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 39 | Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1. | FreedomIntelligence/ | 3.1k | 1 repo | ~2.5k | Automated safety check: Pass | No licence | 2 mo ago |
| 40 | 40.Sft Launch Launch SFT via python -m hpc.launch --jobtype sft on any cluster (JSC Jupiter GH200, CINECA Leonardo A100, TACC Vista GH200), with EITHER backend — LLaMA-Factory (default) or axolotl (--sftbackend… | open-thoughts/ | 301 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | 9 days ago |
| 41 | Predicts absorption, distribution, metabolism, excretion and toxicity for drug candidates with ADMETlab 3.0, ADMET-AI, DeepChem and chemprop, plus druglikeness filters. | GPTomics/ | 1.2k | 1 repo | ~5k | Automated safety check: Pass | MIT | 1 mo ago |
| 42 | Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives… | GPTomics/ | 1.2k | 1 repo | ~5k | Automated safety check: Pass | MIT | 1 mo ago |
| 43 | Implement machine learning experiment tracking using MLflow or Weights & Biases. | jeremylongshore/ | 2.8k | — | ~954 | Automated safety check: Pass | MIT | today |
| 44 | A skill your agent uses when users need to search for datasets, download data files, or explore data repositories. | LeoYeAI/ | 2.2k | — | ~5.4k | Automated safety check: Pass | Proprietary | 2 mo ago |
| 45 | Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills. | probabl-ai/ | 137 | — | ~785 | Automated safety check: Pass | BSD-3-Clause | today |
| 46 | 46.Scikit Learn Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. | brycewang-stanford/ | 4.5k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 47 | A skill your agent uses whenever the user wants reproducible CS/AI experiments, model evaluation, regression/classification/clustering analyses, bioinformatics workflows, QC, differential… | Citrus-bit/ | 120 | — | ~2.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 48 | A skill your agent uses when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model… | borghei/ | 881 | — | ~1.7k | Automated safety check: Pass | MIT | today |