Topic · Data & Analytics
Best machine learning skills, page 7
Machine learning skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | 289.Huggingface API Search and discover ML models, datasets, and Spaces on Hugging Face | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 290 | Strategic statistical modeling, experimentation, and causal inference | wentorai/ | 298 | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 291 | 291.Rd Agent Guide Microsoft AI-driven R&D agent for automated data and model development | wentorai/ | 298 | 1 repo | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 292 | An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. | benchflow-ai/ | 1.8k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 293 | 293.Text Features Turn free-text rows into calibrated numeric features with TypeSafe Jev, then model them on a leakage-safe development split. | PKU-YuanGroup/ | 617 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 294 | 294.Ais Bench AISBench Benchmark - AI model evaluation tool for Ascend NPU. | ascend-ai-coding/ | 174 | — | ~2.7k | Automated safety check: Pass | No licence | today |
| 295 | 295.Model Deployment Deploy ML models with FastAPI, Docker, Kubernetes. An agent skill from secondsky/claude-skills. | secondsky/ | 227 | — | ~2.4k | Automated safety check: Pass | MIT | 9 days ago |
| 296 | 296.Mlnet Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations. | managedcode/ | 486 | — | ~559 | Automated safety check: Pass | MIT | today |
| 297 | 297.GPU Optimizer 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 | 2 days ago |
| 298 | Use this sub-skill for MLAlgorithms supervised tabular estimators: linear/logistic regression, KNN, Naive Bayes, SVM kernels, random forests, gradient boosting, and experimental factorization… | VectorSpaceLab/ | 328 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 299 | 299.ML Algorithms A skill your agent uses for MLAlgorithms (mla) educational machine-learning implementations: classical estimators, clustering/reduction, metrics, NeuralNet building blocks, and DQN examples. | VectorSpaceLab/ | 328 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 300 | A skill your agent uses to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation… | majiayu000/ | 666 | 1 repo | ~9.2k | Automated safety check: Pass | MIT | today |
| 301 | 301.Optimize For GPU GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. | majiayu000/ | 666 | 1 repo | ~8.5k | Automated safety check: Pass | MIT | today |
| 302 | Parameterized Python empirical-analysis and machine-learning workflow for applied economics, public health epidemiology, supervised ML, and ML causal inference. | Drchronx/ | 135 | — | ~3k | Automated safety check: Pass | Unknown | 4 mo ago |
| 303 | Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls. | Drchronx/ | 135 | — | ~516 | Automated safety check: Pass | Unknown | 4 mo ago |
| 304 | Design predictive maintenance strategies using sensor data, ML models for remaining useful life (RUL), and the P-F curve framework. | asgard-ai-platform/ | 241 | — | ~1.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 305 | A skill your agent uses when rewriting a machine-learning paper for ICML-style claims, 8-page clarity, soundness/originality/significance framing, impact statement, lay-summary readiness, and… | franklee16/ | 223 | 1 repo | ~410 | Automated safety check: Pass | No licence | 19 days ago |
| 306 | 306.Thu Digitizer Extract and validate numeric data from chart images, PDF figures, and official source-data files locally and reproducibly, with calibrated axes, compact-scatter recovery plus residual audits… | franklee16/ | 223 | — | ~8.5k | Automated safety check: Pass | MIT | 19 days ago |
| 307 | 307.ML Expert Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. | aiskillstore/ | 430 | 1 repo | ~2.3k | Automated safety check: Pass | No licence | today |
| 308 | Specialized ML model development, training, and deployment workflow | aiskillstore/ | 430 | 1 repo | ~3k | Automated safety check: Pass | No licence | today |
| 309 | 309.Pathml A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine… | aipoch/ | 2k | — | ~3k | Automated safety check: Pass | MIT | 21 days ago |
| 310 | 310.Shap Model interpretability and explainability using SHAP (SHapley Additive exPlanations). | aipoch/ | 2k | — | ~4.8k | Automated safety check: Pass | MIT | 21 days ago |
| 311 | A skill your agent uses when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent… | brycewang-stanford/ | 1.2k | — | ~855 | Automated safety check: Pass | MIT | 10 days ago |
| 312 | A skill your agent uses when positioning a The Econometrics Journal (EctJ) paper against econometric theory, applied econometrics, statistics, and machine-learning literatures while keeping the… | brycewang-stanford/ | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | 10 days ago |
| 313 | A skill your agent uses when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT… | brycewang-stanford/ | 1.2k | — | ~871 | Automated safety check: Pass | MIT | 10 days ago |
| 314 | A skill your agent uses when targeting Journal of Climate or deciding whether a climate-dynamics or climate-variability manuscript fits this venue. | brycewang-stanford/ | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | 10 days ago |
| 315 | A skill your agent uses when rewriting a machine-learning paper for NeurIPS-style contribution framing, calibrated claims, contribution-type alignment, limitations, broader-impact prose, and… | brycewang-stanford/ | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | 10 days ago |
| 316 | Battle-tested prompt patterns for production AI agents. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~6.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 317 | 317.Deep Learning A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO… | ericrisco/ | 167 | — | ~3.4k | Automated safety check: Pass | MIT | today |
| 318 | 318.Machine Learning 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/ | 167 | — | ~4.2k | Automated safety check: Pass | MIT | today |
| 319 | 319.Math Review Verifies math-heavy code for algorithmic correctness and numerical stability. | athola/ | 342 | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 320 | 320.ML Pipeline MANDATORY whenever a task involves training, fine-tuning, tuning, or evaluating a machine-learning model on data (tabular, time series, text, images — any modality). | hashgraph-online/ | 1.2k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
| 321 | Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget. | seb1n/ | 206 | — | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 322 | 322.Model Training Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing. | seb1n/ | 206 | — | ~2.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 323 | 323.Alibi Explainer Alibi explainability skill for counterfactual explanations, anchors, and trust scores. | majiayu000/ | 666 | 1 repo | ~1k | Automated safety check: Notes | MIT | today |
| 324 | 324.Cost Prediction Predict construction project costs using Machine Learning. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 1 repo | ~3.2k | Automated safety check: Pass | MIT | today |
| 325 | 325.Data Researcher Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into strategic intelligence. | majiayu000/ | 666 | 1 repo | ~4.6k | Automated safety check: Pass | MIT | today |
| 326 | 326.Data Scientist Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights. | majiayu000/ | 666 | 1 repo | ~3.5k | Automated safety check: Pass | MIT | today |
| 327 | This skill covers deploying anomaly detection systems for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral… | majiayu000/ | 666 | 1 repo | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
| 328 | Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting. | majiayu000/ | 666 | 1 repo | ~1k | Automated safety check: Notes | MIT | today |
| 329 | 329.Jax Skills High-performance numerical computing and machine learning workflows using JAX. | majiayu000/ | 666 | 1 repo | ~1.1k | Automated safety check: Pass | Proprietary | today |
| 330 | Detects and prevents data leakage in machine learning and mathematical modeling. | majiayu000/ | 666 | 1 repo | ~3.4k | Automated safety check: Pass | MIT | today |
| 331 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | majiayu000/ | 666 | 1 repo | ~2.1k | Automated safety check: Pass | MIT | today |
| 332 | Forecast project outcomes using historical data: cost overruns, schedule delays, risk probabilities. | majiayu000/ | 666 | 1 repo | ~3.9k | Automated safety check: Pass | MIT | today |
| 333 | Predict project completion dates using ML models. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 1 repo | ~4.2k | Automated safety check: Pass | MIT | today |
| 334 | 334.Shap Explainer SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis. | majiayu000/ | 666 | 1 repo | ~872 | Automated safety check: Notes | MIT | today |
| 335 | Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. | majiayu000/ | 666 | 1 repo | ~2.1k | Automated safety check: Notes | MIT | today |
| 336 | 336.Nni Use NNI for AutoML experiments, hyperparameter tuning, neural architecture search, model compression, feature engineering, nnictl, and optional dependency troubleshooting. | majiayu000/ | 666 | 1 repo | ~1.6k | Automated safety check: Pass | MIT | today |