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Found 11 Skills
Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
MLflow ML lifecycle management. Use for ML experiment tracking.
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow
Browses TrueFoundry ML repositories and model registry. Lists repos, models, and artifacts with FQNs for use in other skills.
Call hosted LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, open-weights models) through the Lightning AI models API / LLM gateway - chat, streaming, multi-turn conversations, images, and model metadata; plus the teamspace model checkpoint registry. Use when the user wants to run inference through lightning.ai, compare gateway models, or manage model artifacts on the platform.
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform