scikit-learn agent skills for Claude Code, Codex and other agents.

Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills

Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.

zLanqing/codex-claude-academic-skills

Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.

google-research/timesfm

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.

Raidriar7170/hermes-skilleval

Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

lingzhi227/agent-research-skills

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/edge-ai-libraries

Six-phase process for reproducing a published paper's results from provided data, from variable mapping and sample filtering through regression tables and a written report.

xjtulyc/MedgeClaw

Estimate a covariance / correlation / precision matrix incrementally with precise.

microprediction/precise

Checks an LLM judge against human labels using train, dev and test splits, TPR and TNR, and a bias correction applied to production data.

ai-evals-course/evals-skills

Guides time series machine learning with the aeon toolkit: classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search.

davila7/claude-code-templates

Online (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance.

microprediction/precise

Declare the pipeline from data source to predictor as a skrub DataOps graph.

probabl-ai/skills

Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks.

davila7/claude-code-templates

Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks.

Orchestra-Research/AI-Research-SKILLs

Molecular featurization for ML (100+ featurizers). An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

how to use the edit command properly

omegaml/omegaml

Fit, summarize, plot, and interpret a chosen CausalPy experiment.

pymc-labs/CausalPy

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/Vibe-Trading

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics.

alirezarezvani/claude-skills

Turn a plain-English description ("a node that runs on the kernel and does XGBoost predictions", "a node that trims whitespace", "an ML clustering node") into a correct single-file Flowfile custom…

Edwardvaneechoud/Flowfile

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/Light-skills

Quantitative strategy frameworks: pairs trading/cointegration, volatility regime strategies, seasonality/calendar effects, multi-factor models (IC/IR), factor research and screening, correlation…

helsome/folio

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.

K-Dense-AI/scientific-agent-skills

Processes paired-end 16S amplicon reads into QIIME 2 ASVs and taxonomy with retained artifact provenance.

K-Dense-AI/scientific-agent-skills

Supports machine learning in Python with scikit-learn. An agent skill from K-Dense-AI/scientific-agent-skills.

K-Dense-AI/scientific-agent-skills

Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps

RightNow-AI/openfang

Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.

K-Dense-AI/scientific-agent-skills

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/bioSkills

Train ML models with scikit-learn, PyTorch, TensorFlow. An agent skill from secondsky/claude-skills.

secondsky/claude-skills

Operates the QIIME2 framework as the glue for an amplicon analysis - the .qza/.qzv artifact model, semantic types (FeatureTable[Frequency], SampleData[PairedEndSequencesWithQuality]…

GPTomics/bioSkills

Assigns taxonomy to amplicon ASVs/OTUs (16S, ITS, 18S) with a classifier conditioned on a reference database and primer region - DADA2 assignTaxonomy + addSpecies (RDP naive Bayes), DECIPHER IDTAXA…

GPTomics/bioSkills

Molecular featurization hub (100+ featurizers) for ML. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

A comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit Cox/RSF/GB models or…

aipoch/medical-research-skills

Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.

probabl-ai/skills

Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.

brycewang-stanford/Auto-Empirical-Research-Skills

Define custom distance/similarity metrics for clustering and ML algorithms.

benchflow-ai/skillsbench

Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests.

majiayu000/claude-skill-registry

Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines.

jaechang-hits/SciAgent-Skills

Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data.

jaechang-hits/SciAgent-Skills

Builds classification models for omics data using RandomForest, XGBoost, and logistic regression with sklearn-compatible APIs.

majiayu000/claude-skill-registry

Load when placing bulk RNA-seq samples on a single-cell reference's pseudotime axis (NNLS deconvolution + nearest-neighbour mapping).

TianGzlab/OmicsClaw

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

Kilo-Org/kilo-marketplace

Turn free-text rows into calibrated numeric features with TypeSafe Jev, then model them on a leakage-safe development split.

PKU-YuanGroup/OpenAI4S

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT.

majiayu000/claude-skill-registry

Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization.

majiayu000/claude-skill-registry

Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time.

happycapy-ai/Happycapy-skills

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/rsc-harness

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/rsc-harness