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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 241 | A skill your agent uses when targeting Asian Conference on Machine Learning (ACML) or deciding whether a computer-science manuscript fits this venue. | franklee16/ | 223 | 1 repo | ~1.9k | Automated safety check: Pass | No licence | 22 days ago |
| 242 | A skill your agent uses when targeting Conference on Machine Learning and Systems (MLSys) or deciding whether a computer-science manuscript fits this venue. | franklee16/ | 223 | 1 repo | ~1.9k | Automated safety check: Pass | No licence | 22 days ago |
| 243 | A skill your agent uses when executing and reporting the statistical analysis for a Field Crops Research (FCR) manuscript — mixed models for multi-environment and blocked/split-plot designs… | franklee16/ | 223 | 1 repo | ~1.1k | Automated safety check: Pass | No licence | 22 days ago |
| 244 | A skill your agent uses when executing and reporting the analysis for a Global Change Biology (GCB) manuscript — mixed/hierarchical models, time-series and spatial analysis, meta-analysis, and model… | franklee16/ | 223 | 1 repo | ~920 | Automated safety check: Pass | No licence | 22 days ago |
| 245 | A skill your agent uses when targeting IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) or deciding whether a computer vision or machine learning manuscript fits this archival… | franklee16/ | 223 | 1 repo | ~2k | Automated safety check: Pass | No licence | 22 days ago |
| 246 | A skill your agent uses when targeting International Conference on Automated Machine Learning (AutoML Conference) or deciding whether a computer-science manuscript fits this venue. | franklee16/ | 223 | 1 repo | ~2k | Automated safety check: Pass | No licence | 22 days ago |
| 247 | A skill your agent uses when targeting International Conference on Machine Learning (ICML) or deciding whether a computer-science manuscript fits this venue. | franklee16/ | 223 | 1 repo | ~1.9k | Automated safety check: Pass | No licence | 22 days ago |
| 248 | A skill your agent uses when targeting Journal of Machine Learning Research (JMLR) or deciding whether a machine learning methods or theory manuscript fits this open-access venue. | franklee16/ | 223 | 1 repo | ~2k | Automated safety check: Pass | No licence | 22 days ago |
| 249 | A skill your agent uses when targeting Machine Learning for Health (ML4H) or deciding whether a computer-science manuscript fits this venue. | franklee16/ | 223 | 1 repo | ~1.9k | Automated safety check: Pass | No licence | 22 days ago |
| 250 | 250.Deepmd Train Train DeePMD-kit machine learning potentials. An agent skill from Hello-QM/catgo-LRG. | Hello-QM/ | 205 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | 18 days ago |
| 251 | 251.Deepmd Inference Run DeePMD-kit inference to predict energies, forces, and stresses using a trained DP model. | Hello-QM/ | 205 | — | ~945 | Automated safety check: Pass | AGPL-3.0 | 18 days ago |
| 252 | Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues. | aiskillstore/ | 433 | — | ~1.1k | Automated safety check: Pass | No licence | today |
| 253 | Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python | Kilo-Org/ | 190 | 1 repo | ~1.2k | Automated safety check: Pass | Apache-2.0 | 11 days ago |
| 254 | Generates complete comorbidity-oriented shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. | aipoch/ | 1.9k | — | ~4.5k | Automated safety check: Pass | MIT | 23 days ago |
| 255 | Generates complete phenotype-scoring bioinformatics research designs for any disease context and any user-defined phenotype, pathway, process, signature, or molecular program. | aipoch/ | 1.9k | — | ~4.6k | Automated safety check: Pass | MIT | 23 days ago |
| 256 | Generates complete conventional non-oncology diagnostic machine-learning research designs from a user-provided disease context, optional mechanism theme, and validation direction. | aipoch/ | 1.9k | — | ~4.8k | Automated safety check: Pass | MIT | 23 days ago |
| 257 | Generates complete process-related diagnostic biomarker bioinformatics research designs from a user-provided disease context, gene-family or pathway theme, and validation direction. | aipoch/ | 1.9k | — | ~4.7k | Automated safety check: Pass | MIT | 23 days ago |
| 258 | Multi-agent orchestration patterns for production deployments. | LeoYeAI/ | 2.2k | — | ~4.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 259 | Methodology for systematically designing document chunking strategies for RAG pipelines. | revfactory/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 260 | Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology. | revfactory/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 261 | Feature engineering techniques catalog: numeric/categorical/time-series/text transformations, feature selection, feature store design. | revfactory/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 262 | ML model selection matrix by problem type, hyperparameter tuning strategies, and ensemble methodology guide. | revfactory/ | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 263 | 263.ML Research Lab Machine-learning research loop for dataset curation, fine-tuning, evaluation, inference deployment, experiment tracking, and model explainability. | AnastasiyaW/ | 154 | — | ~794 | Automated safety check: Pass | MIT | today |
| 264 | Configure with feature engineering helper operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~587 | Automated safety check: Pass | MIT | today |
| 265 | Build model explainability tool operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~580 | Automated safety check: Pass | MIT | today |
| 266 | Build sklearn pipeline builder operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~579 | Automated safety check: Pass | MIT | today |
| 267 | Create bigquery ml model creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~571 | Automated safety check: Pass | MIT | today |
| 268 | Deploy KServe InferenceService on CoreWeave with autoscaling and GPU scheduling. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 269 | 269.Cortex Model Build an ML pipeline — from data to trained model to serving endpoint. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | today |
| 270 | Configure cross validation setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~572 | Automated safety check: Pass | MIT | today |
| 271 | Analyze feature importance analyzer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~592 | Automated safety check: Pass | MIT | today |
| 272 | Build model evaluation metrics operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~578 | Automated safety check: Pass | MIT | today |
| 273 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | BagelHole/ | 1.2k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 274 | 274.Anystyle API Citation reference parser using machine learning. An agent skill from wentorai/research-plugins. | wentorai/ | 298 | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 275 | Computational drug-target interaction prediction and virtual screening | wentorai/ | 298 | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 276 | Apply EconML for causal inference combining machine learning and econometrics | wentorai/ | 298 | 1 repo | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 277 | 277.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 |
| 278 | Strategic statistical modeling, experimentation, and causal inference | wentorai/ | 298 | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 279 | 279.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 |
| 280 | 280.Text Features Turn free-text rows into calibrated numeric features with TypeSafe Jev, then model them on a leakage-safe development split. | PKU-YuanGroup/ | 622 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 281 | 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 |
| 282 | 282.Jax Skills High-performance numerical computing and machine learning workflows using JAX. | benchflow-ai/ | 1.8k | — | ~1.1k | Automated safety check: Pass | Proprietary | 2 mo ago |
| 283 | 283.Discover ML Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. | rand/ | 181 | — | ~574 | Automated safety check: Pass | MIT | 7 mo ago |
| 284 | 284.Ais Bench AISBench Benchmark - AI model evaluation tool for Ascend NPU. | ascend-ai-coding/ | 174 | — | ~2.7k | Automated safety check: Pass | No licence | today |
| 285 | Train ML models with scikit-learn, PyTorch, TensorFlow. An agent skill from secondsky/claude-skills. | secondsky/ | 227 | — | ~1.7k | Automated safety check: Pass | MIT | 12 days ago |
| 286 | 286.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 | 12 days ago |
| 287 | 287.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 |
| 288 | 288.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/ | 329 | — | ~3.5k | Automated safety check: Notes | MIT | 4 days ago |