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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | A skill your agent uses when selecting predictive genes or other molecular features from bulk expression matrices for binary case-vs-control classification with elastic net logistic regression… | aipoch/ | 1.9k | — | ~2.9k | Automated safety check: Pass | MIT | 23 days ago |
| 146 | A skill your agent uses when validating an existing prognostic risk signature on an external bulk expression cohort with survival outcomes, producing risk scores, Kaplan-Meier curves, risk… | aipoch/ | 1.9k | — | ~3.2k | Automated safety check: Pass | MIT | 23 days ago |
| 147 | A skill your agent uses when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path… | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 23 days ago |
| 148 | A skill your agent uses when training a LightGBM model on tabular data in R and returning model metrics, feature importance ranking tables, and feature importance plots. | aipoch/ | 1.9k | — | ~3.6k | Automated safety check: Pass | MIT | 23 days ago |
| 149 | A skill your agent uses when performing PCA principal component dimensionality reduction on tabular numeric data. | aipoch/ | 1.9k | — | ~1.5k | Automated safety check: Pass | MIT | 23 days ago |
| 150 | A skill your agent uses when you need a standardized R CLI workflow to train a two-class random forest model from an expression-like feature matrix, rank variable importance, and generate… | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 23 days ago |
| 151 | A skill your agent uses when running prognostic survival analysis on a clinical cohort with time-to-event data to estimate univariate and multivariable Cox proportional hazards models, export result… | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 23 days ago |
| 152 | 152.Xgboost Analysis A skill your agent uses when building XGBoost models on tabular data and returning feature importance ranking outputs. | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 23 days ago |
| 153 | Launch, monitor, and manually clean up an eval job on Marin's Iris TPU or CoreWeave H100x8 GPU cluster via the OpenThoughts-Agent entrypoint. | open-thoughts/ | 301 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 154 | 154.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 | 12 days ago |
| 155 | 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 |
| 156 | Load and preprocess imaging mass cytometry (IMC) and MIBI data from raw MCD/TXT through hot-pixel removal, spillover compensation, and variance-stabilizing transformation, covering readimc/steinbock… | GPTomics/ | 1.2k | 1 repo | ~4.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 157 | Maps query single-cell data onto reference atlases and transfers cell-type labels using scArches surgery (scVI/scANVI), Symphony, Azimuth, CellTypist, scPoli, popV, and foundation models, with… | GPTomics/ | 1.2k | 1 repo | ~5.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 158 | 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 |
| 159 | Validates predictive models on omics and biomedical data with nested cross-validation, group/batch/temporal-aware splits, the full data-leakage taxonomy, probability calibration, decision-curve net… | GPTomics/ | 1.2k | 1 repo | ~5k | Automated safety check: Pass | MIT | 1 mo ago |
| 160 | Builds diagnostic and prognostic classifiers on omics feature matrices with regularized logistic regression, random forest, and gradient-boosted trees, handling the pn regime, batch shortcut… | GPTomics/ | 1.2k | 1 repo | ~4.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 161 | Explains ML predictions on omics data with SHAP, LIME, and permutation importance, handling the correlated-feature trap, the conditional-vs-interventional Shapley choice, and the… | GPTomics/ | 1.2k | 1 repo | ~4.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 162 | Builds and validates predictive time-to-event models on clinical and omics data with penalized Cox, random survival forests, gradient-boosted and deep survival models, and prediction-grade… | GPTomics/ | 1.2k | 1 repo | ~4.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 163 | Computes DNA methylation age (DNAm age) and pace of aging by applying frozen elastic-net epigenetic clocks to a clean beta matrix with methylclock, dnaMethyAge, or methylCIPHER. | GPTomics/ | 1.2k | 1 repo | ~4.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 164 | Builds supervised and unsupervised multivariate integration across bulk omics blocks with mixOmics - sPLS for sparse pairwise correlation, DIABLO (block.splsda) for a multi-block discriminant… | GPTomics/ | 1.2k | 1 repo | ~4.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 165 | 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 |
| 166 | End-to-end biomarker discovery workflow from expression data to validated biomarker panels. | GPTomics/ | 1.2k | 1 repo | ~4.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 167 | Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~4.6k | Automated safety check: Pass | Unknown | today |
| 168 | Build this skill enables AI assistant to provide interpretability and explainability for machine learning models. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | today |
| 169 | Process split datasets into training, validation, and testing sets for ML model development. | jeremylongshore/ | 2.8k | — | ~836 | Automated safety check: Pass | MIT | today |
| 170 | Build train machine learning models with automated workflows. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | today |
| 171 | Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 172 | Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. | jeremylongshore/ | 2.8k | — | ~702 | Automated safety check: Pass | MIT | today |
| 173 | Build and evaluate classification models for supervised learning tasks with labeled data. | jeremylongshore/ | 2.8k | — | ~963 | Automated safety check: Pass | MIT | today |
| 174 | Deploy this skill enables AI assistant to deploy machine learning models to production environments. | jeremylongshore/ | 2.8k | — | ~830 | Automated safety check: Pass | MIT | today |
| 175 | Execute create, select, and transform features to improve machine learning model performance. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 176 | Build this skill allows AI assistant to evaluate machine learning models using a comprehensive suite of metrics. | jeremylongshore/ | 2.8k | — | ~914 | Automated safety check: Pass | MIT | today |
| 177 | Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. | jeremylongshore/ | 2.8k | — | ~944 | Automated safety check: Pass | MIT | today |
| 178 | Implement machine learning experiment tracking using MLflow or Weights & Biases. | jeremylongshore/ | 2.8k | — | ~954 | Automated safety check: Pass | MIT | today |
| 179 | Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin. | jeremylongshore/ | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 180 | Validate AI/ML models and datasets for bias, fairness, and ethical concerns. | jeremylongshore/ | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 181 | Consensus cell type annotation: runs 10+ algorithms (KNN-Harmony/BBKNN/Scanorama/scVI, CellTypist, ONCLASS, Random Forest, SCANVI, SVM, XGBoost) on a labeled reference and transfers labels via… | jaechang-hits/ | 374 | 2 repos | ~6.9k | Automated safety check: Pass | BSD-3-Clause | 11 days ago |
| 182 | 182.Causal ML This skill covers causal machine learning methods in applied economics and quantitative social science. | brycewang-stanford/ | 4.6k | — | ~2.2k | Automated safety check: Pass | Unknown | 5 days ago |
| 183 | 183.Ols Regression Econometrics skill for OLS regression and linear models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. | brycewang-stanford/ | 4.6k | — | ~1.2k | Automated safety check: Pass | Unknown | 5 days ago |
| 184 | 184.ML Causal Econometrics skill for machine learning methods in causal inference. | brycewang-stanford/ | 4.6k | — | ~4k | Automated safety check: Pass | Unknown | 5 days ago |
| 185 | Literature and web research for an ML methodology concern (EDA extra measurements, leakage, transforms, feature engineering, learner family), or an EDA extra-analysis survey from JOURNAL plus… | probabl-ai/ | 138 | — | ~1.2k | Automated safety check: Pass | BSD-3-Clause | today |
| 186 | Guide Claude through ingesting TCGA sample sheets, expression archives, and clinical carts into omicverse, initialising survival metadata, and exporting annotated AnnData files. | FreedomIntelligence/ | 3.1k | 1 repo | ~850 | Automated safety check: Pass | No licence | 2 mo ago |
| 187 | Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 188 | Generate single-file HTML visual explanations for learning and review. | mingchen666/ | 244 | — | ~1.1k | Automated safety check: Pass | No licence | today |
| 189 | 189.Hig Technologies Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple, SharePlay, CarPlay, Game Center, in-app… | raintree-technology/ | 143 | — | ~1.9k | Automated safety check: Pass | MIT | 29 days ago |
| 190 | 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… | matlab/ | 1.1k | — | ~9.2k | Automated safety check: Pass | Unknown | 2 days ago |
| 191 | Parallel multi-AI cross-validation research workflow (大版本). An agent skill from majiayu000/spellbook. | majiayu000/ | 287 | — | ~2k | Automated safety check: Pass | MIT | 2 days ago |
| 192 | Meta Quest Passthrough Camera Access (PCA) for Unity — access the forward-facing RGB cameras on Quest 3 / Quest 3S to feed Computer Vision and Machine Learning pipelines. | meta-quest/ | 215 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 16 days ago |