MLflow

Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit.

databricks-solutions/ai-dev-kit

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

Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization.

intertwine/dspy-agent-skills

Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow.

fcakyon/phd-skills

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

Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills

Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools.

davila7/claude-code-templates

A skill your agent uses when composing the Search(...) call and calling .start().

NVIDIA/CompileIQ

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

Orchestra-Research/AI-Research-SKILLs

Deep expertise in ML/CV model selection, training pipelines, and inference architecture.

alirezarezvani/claude-cto-team

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

Deep learning framework (PyTorch Lightning / lightning package).

K-Dense-AI/scientific-agent-skills

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

alirezarezvani/claude-skills

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

alirezarezvani/claude-skills

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

probabl-ai/skills

Data pipelines, feature stores, and embedding generation for AI/ML systems.

ancoleman/ai-design-components

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

aiskillstore/marketplace

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

ancoleman/ai-design-components

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

databricks/databricks-agent-skills

Implement machine learning experiment tracking using MLflow or Weights & Biases.

jeremylongshore/tons-of-skills-marketplace

Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin.

jeremylongshore/tons-of-skills-marketplace

Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence.

NVIDIA/skills

Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow.

NVIDIA/skills

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

MLflow 3 GenAI agent evaluation. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills

This skill is applicable when using LaminDB. An agent skill from aipoch/medical-research-skills.

aipoch/medical-research-skills

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

revfactory/harness-100

Configure mlflow tracking setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

jeremylongshore/tons-of-skills-marketplace

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

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration.

Kilo-Org/kilo-marketplace

Searches and retrieves MLflow documentation from the official docs site.

Kilo-Org/kilo-marketplace

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

MicrosoftDocs/Agent-Skills

MLflow, Weights & Biases 등 실험 추적 도구 설정, 재현성 보장, 모델 레지스트리, 실험 비교 방법론 가이드.

revfactory/harness-100