DevOps & Cloud · MLflow

This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring…

pifferologo/cloud-agents-cli

Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain

microsoft/physical-ai-toolchain

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

Orchestra-Research/AI-Research-SKILLs

Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.

agentsope/SkillAlchemy

Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates.

Jeffallan/claude-skills

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs.

alirezarezvani/claude-skills

Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools.

aiskillstore/marketplace

Copy skore reports between local, Hub, and MLflow with skore sync, and optionally switch the recorded upload destination.

probabl-ai/skills

Strategic guidance for operationalizing machine learning models from experimentation to production.

ancoleman/ai-design-components

Selects, deploys, and customizes AI models on Amazon SageMaker.

aws/agent-toolkit-for-aws

A skill your agent uses for debugging DSPy programs, inspecthistory, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.

OmidZamani/dspy-skills

MLOps across model deployment, ML pipelines, monitoring, and feature stores.

borghei/Claude-Skills

Guided workflow for taking any ML codebase — including one with no experiment tracking at all, or one full of MLflow 2-era idioms — to a production-grade open-source MLflow 3 setup with…

pproenca/dot-skills

Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology.

revfactory/harness-100

Automate ML workflows with Airflow, Kubeflow, MLflow. An agent skill from secondsky/claude-skills.

secondsky/claude-skills

A skill your agent uses for MLflow GenAI observability work: tracing, trace search/export, OpenTelemetry, prompts, GenAI datasets/evaluation, scorers/judges, review queues, assessments, and provider…

VectorSpaceLab/AREX-Skill

Use this sub-skill for MLflow Models, pyfunc, flavor APIs, signatures, input examples, dependencies, local serving/prediction, and mlflow.evaluate workflows.

VectorSpaceLab/AREX-Skill

Expert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding…

MicrosoftDocs/Agent-Skills