83,201 skills sorted by stars.
Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparamet...
Use this skill when deploying ML models to production, setting up model monitoring, implementing A/B testing for models,...
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use whe...
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research re...
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature store...
Coordinate ML-related analysis work by defining the problem, identifying required data, planning extraction, analyzing r...
Single entry point for ML-related tasks. Orchestrates three roles across a data-driven analysis pipeline: Product Manage...
Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or en...
ML pipeline design with Metaflow, Kubeflow, and ZenML including GPU steps, artifact tracking, and production patterns.
Orchestrates complete machine learning pipelines within SpecWeave increments. Activates when users request "ML pipeline"...
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.
ML research for RAN with reinforcement learning, causal inference, and cognitive consciousness integration. Use when res...
When the user wants to apply machine learning to supply chain problems, build ML models, or use AI for predictions. Also...
End-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructu...
Use when designing end-to-end ML systems, choosing batch vs streaming inference, preventing training/serving skew, build...
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discover...
Apply appropriate type hints for ML/PyTorch code. Use when adding type annotations to ML code or addressing mypy errors.
MLflow ML lifecycle management. Use for ML experiment tracking.
ML lifecycle management with MLflow. Track experiments, package models, manage registries, and deploy models. Use for ML...
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with...
MLflow is an open-source platform for managing the machine learning lifecycle, including tracking, packaging, and deploy
MLflow 3 GenAI evaluation for agent development. Use when (1) writing mlflow.genai.evaluate() code, (2) creating @scorer...
ML experiment tracking, model registry, and deployment with MLflow for reproducible machine learning workflows.
Configure mlflow tracking setup operations. Auto-activating skill for ML Training. Triggers on: mlflow tracking setup, m...
Mlflow Tracking Setup - Auto-activating skill for ML Training. Triggers on: mlflow tracking setup, mlflow tracking setup...
Universal and specialized machine learning interatomic potentials for rapid atomistic simulation without DFT. Covers mod...