Agent Skills

Scikit-learn — Machine Learning Reference

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Comprehensive scikit-learn guidance for classical machine learning: supervised/unsupervised algorithms, preprocessing, pipelines, evaluation and production-read

Scikit-learn (Classical ML reference)

scientific-agent-skills

Comprehensive scikit-learn guidance for classification, regression, clustering, preprocessing, model evaluation, and production-ready ML pipelines.

Scikit-learn Reference

LunarTech-X Superpowers

Comprehensive, practical reference for classical machine learning workflows using scikit-learn: preprocessing, pipelines, supervised and unsupervised algorithms

Agentic Data Science Competition

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Assistant skill to run and manage Kaggle competition workflows: submission troubleshooting, score stabilization patterns, kernel workflows, and spec-driven dele

Scikit-learn Reference — Classical ML Workflows

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Authoritative guidance for classical machine learning with scikit-learn: preprocessing, pipelines, model selection, evaluation, and example scripts for producti

Cortex - ML Pipeline Builder

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Guided ML pipeline builder that walks an agent through data validation, feature engineering, training, evaluation, and serving endpoints for classification or r

Cortex — ML Pipeline Builder

tonone

Build a reproducible ML training-to-serving pipeline: data validation, feature engineering, training, evaluation, and a serving endpoint.

Feast Feature Store Guide

feast

Comprehensive guide for managing AI/ML feature stores, including entity definition, feature retrieval, and RAG pipelines.

precise

microprediction

Online incremental covariance, correlation, and precision estimation in Python.

ICLR Submission Workflow

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Project management for ICLR submissions, from topic selection and anonymization to OpenReview discussion and final camera-ready.

PennyLane

tassiovale

Hardware-agnostic quantum machine learning framework with automatic differentiation.

Transformers.js (JavaScript ML)

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Run Hugging Face models natively in JavaScript/TypeScript (browser or Node) using Transformers.js for text, vision, and audio tasks with WebGPU/WASM fallbacks.

Azure Data Science Virtual Machines

agent-skills

Expert guidance for Azure Data Science VMs: troubleshooting, configuration, deployment (Bicep/ARM), security, and integrations like MLflow and Key Vault.

Transformers.js ML Integration

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Run state-of-the-art ML models for text, image, and audio directly in JavaScript/Node.js without a separate Python backend.

PyTorch Geometric (PyG) Guide

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Authoritative guide for building and scaling Graph Neural Networks using PyTorch Geometric: data, layers, training patterns, and common pitfalls.

ML Pipeline Orchestration

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Automates end-to-end machine learning workflows using Prefect or Airflow, from data ingestion to model deployment.

Kaggle CLI Assistant

kaggle-cli

Provides comprehensive guidance and operational support for the official Kaggle command-line tool, covering competitions, datasets, and models.