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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | 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/ | 331 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 290 | 290.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/ | 331 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 291 | Parameterized Python empirical-analysis and machine-learning workflow for applied economics, public health epidemiology, supervised ML, and ML causal inference. | Drchronx/ | 139 | — | ~3k | Automated safety check: Pass | Unknown | 4 mo ago |
| 292 | Chinese sentiment analysis workflows using dictionary scoring, traditional machine learning classifiers, and LLM API calls. | Drchronx/ | 139 | — | ~516 | Automated safety check: Pass | Unknown | 4 mo ago |
| 293 | Design predictive maintenance strategies using sensor data, ML models for remaining useful life (RUL), and the P-F curve framework. | asgard-ai-platform/ | 242 | — | ~1.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 294 | 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 | 21 days ago |
| 295 | 295.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 | 21 days ago |
| 296 | 296.Deepmd Router Route DeePMD-kit requests to training or inference sub-skills. | Hello-QM/ | 205 | — | ~377 | Automated safety check: Pass | AGPL-3.0 | 17 days ago |
| 297 | 297.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/ | 180 | — | ~3.4k | Automated safety check: Pass | MIT | today |
| 298 | 298.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/ | 180 | — | ~4.2k | Automated safety check: Pass | MIT | today |
| 299 | 299.Pathml A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine… | aipoch/ | 1.9k | — | ~3k | Automated safety check: Pass | MIT | 23 days ago |
| 300 | 300.Shap Model interpretability and explainability using SHAP (SHapley Additive exPlanations). | aipoch/ | 1.9k | — | ~4.8k | Automated safety check: Pass | MIT | 23 days ago |
| 301 | 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 | 13 days ago |
| 302 | 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 | 13 days ago |
| 303 | 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 | 13 days ago |
| 304 | 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 | 13 days ago |
| 305 | 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 | 13 days ago |
| 306 | 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 |
| 307 | 307.Math Review Verifies math-heavy code for algorithmic correctness and numerical stability. | athola/ | 341 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 308 | 308.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/ | 1.3k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
| 309 | 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 |
| 310 | Audit EEG/BCI model evaluation and prevent data leakage. An agent skill from Drchronx/ai-agent-research-starter-kit. | Drchronx/ | 139 | — | ~413 | Automated safety check: Pass | Unknown | 4 mo ago |
| 311 | 311.AI ML Skills 27 ai & machine learning skills. An agent skill from wentorai/research-plugins. | wentorai/ | 298 | 1 repo | ~993 | Automated safety check: Pass | MIT | 3 mo ago |
| 312 | 312.Modal Cloud computing platform for running Python on GPUs and serverless infrastructure. | BioTender-max/ | 200 | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | 3 mo ago |
| 313 | 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 | 2 mo ago |
| 314 | 314.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 | 2 mo ago |
| 315 | Design, implement, and validate reproducible machine-learning pipelines spanning data preparation, training, evaluation, registry, and deployment gates. | seb1n/ | 206 | — | ~1.5k | Automated safety check: Pass | MIT | 2 mo ago |
| 316 | 316.Model Deployment Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. | seb1n/ | 206 | — | ~2.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 317 | This skill should be considered when you need to answer reflow machine maintenance questions or provide detailed guidance based on thermocouple data, MES data or defect data and reflow technical… | benchflow-ai/ | 1.8k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 318 | 318.Umap Learn UMAP dimensionality reduction for visualization, clustering prep, and feature engineering. | jaechang-hits/ | 374 | — | ~4.7k | Automated safety check: Pass | BSD-3-Clause | 11 days ago |
| 319 | This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input. | bioMate-AI/ | 804 | — | ~1.9k | Automated safety check: Pass | Unknown | 3 mo ago |
| 320 | The ORFhunteR package is a R and C++ library for an automatic determination and annotation of open reading frames (ORF) in a large set of RNA molecules. | bioMate-AI/ | 804 | — | ~1.9k | Automated safety check: Pass | Unknown | 3 mo ago |
| 321 | The package comprises a set of pretrained machine learning models to predict basic immune cell types. | bioMate-AI/ | 804 | — | ~1.3k | Automated safety check: Pass | Unknown | 3 mo ago |
| 322 | A post hoc cell type classification tool to fine-tune cell type annotations generated by any cell type classification procedure with semi-supervised learning algorithm AdaSampling technique. | bioMate-AI/ | 804 | — | ~818 | Automated safety check: Pass | Unknown | 3 mo ago |
| 323 | This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. | bioMate-AI/ | 804 | — | ~1.8k | Automated safety check: Pass | Unknown | 3 mo ago |
| 324 | 324.Mteb Leaderboard Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). | lazyFrogLOL/ | 128 | — | ~2.1k | Automated safety check: Pass | No licence | 4 mo ago |
| 325 | Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. | Kilo-Org/ | 190 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 11 days ago |
| 326 | Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities. | Kilo-Org/ | 190 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 11 days ago |
| 327 | Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns… | MicrosoftDocs/ | 776 | — | ~2.7k | Automated safety check: Pass | CC-BY-4.0 | 4 days ago |
| 328 | 피처 엔지니어링 기법 카탈로그: 수치형/범주형/시계열/텍스트 변환, 피처 선택, 피처 스토어 설계. An agent skill from revfactory/harness-100. | revfactory/ | 1.3k | — | ~1k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |