AI model or service
MLflow agent skills for Claude Code, Codex and other agents.
- skills
- 39
- official
- 9
- Type
- AI model or service
- Website
- mlflow.org
- Official GitHub
- mlflow
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- See MLflow on Enlisted
MLflow skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (9 skills)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 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/ | 123 | — | ~3.8k | Automated safety check: Notes | MIT | today |
| 2 | Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | 1 repo | ~3.4k | Automated safety check: Pass | Unknown | today |
| 3 | A skill your agent uses when composing the Search(...) call and calling .start(). | NVIDIA/ | 138 | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | 15 days ago |
| 4 | Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~4.6k | Automated safety check: Pass | Unknown | today |
| 5 | 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/ | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | today |
| 6 | Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. | NVIDIA/ | 3.5k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 7 | Selects, deploys, and customizes AI models on Amazon SageMaker. | aws/ | 2.8k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 8 | MLflow 3 GenAI agent evaluation. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~2.7k | Automated safety check: Pass | Unknown | today |
| 9 | Expert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding… | MicrosoftDocs/ | 777 | — | ~1.8k | Automated safety check: Pass | CC-BY-4.0 | 3 days ago |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 10 | 10.Skill Test Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit. | databricks-solutions/ | 1.9k | — | ~1.9k | Automated safety check: Pass | Unknown | 1 mo ago |
| 11 | 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/ | 129 | 1 repo | ~2.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 12 | Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization. | intertwine/ | 278 | — | ~1.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 13 | 13.Compare Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. | fcakyon/ | 415 | — | ~1.2k | Automated safety check: Pass | MIT | 23 days ago |
| 14 | Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools. | davila7/ | 32k | 12 repos | ~3.6k | Automated safety check: Pass | MIT | today |
| 15 | Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks. | Orchestra-Research/ | 13k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 16 | Deep expertise in ML/CV model selection, training pipelines, and inference architecture. | alirezarezvani/ | 117 | — | ~3.1k | Automated safety check: Pass | MIT | 9 mo ago |
| 17 | Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover. | agentsope/ | 466 | — | ~4.4k | Automated safety check: Pass | MIT | today |
| 18 | Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates. | Jeffallan/ | 12k | — | ~1.9k | Automated safety check: Pass | MIT | 5 days ago |
| 19 | Deep learning framework (PyTorch Lightning / lightning package). | K-Dense-AI/ | 48k | 1 repo | ~2.6k | Automated safety check: Notes | Apache-2.0 | 4 days ago |
| 20 | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. | alirezarezvani/ | 28k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 21 | ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. | alirezarezvani/ | 28k | 1 repo | ~2.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 22 | Data pipelines, feature stores, and embedding generation for AI/ML systems. | ancoleman/ | 526 | — | ~3.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 23 | Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. | aiskillstore/ | 430 | 7 repos | ~2.8k | Automated safety check: Pass | No licence | today |
| 24 | Copy skore reports between local, Hub, and MLflow with skore sync, and optionally switch the recorded upload destination. | probabl-ai/ | 138 | — | ~1.6k | Automated safety check: Pass | BSD-3-Clause | today |
| 25 | Strategic guidance for operationalizing machine learning models from experimentation to production. | ancoleman/ | 526 | — | ~9.2k | Automated safety check: Pass | MIT | 10 mo ago |
| 26 | Implement machine learning experiment tracking using MLflow or Weights & Biases. | jeremylongshore/ | 2.8k | — | ~954 | Automated safety check: Pass | MIT | today |
| 27 | Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin. | jeremylongshore/ | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 28 | A skill your agent uses for debugging DSPy programs, inspecthistory, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking. | OmidZamani/ | 124 | — | ~2.1k | Automated safety check: Warn | MIT | 3 mo ago |
| 29 | MLOps across model deployment, ML pipelines, monitoring, and feature stores. | borghei/ | 886 | — | ~3.5k | Automated safety check: Pass | MIT | 2 days ago |
| 30 | 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/ | 215 | — | ~1.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 31 | 31.Lamindb This skill is applicable when using LaminDB. An agent skill from aipoch/medical-research-skills. | aipoch/ | 2k | — | ~4.8k | Automated safety check: Pass | MIT | 22 days ago |
| 32 | Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology. | revfactory/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 33 | Configure mlflow tracking setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~570 | Automated safety check: Pass | MIT | today |
| 34 | Automate ML workflows with Airflow, Kubeflow, MLflow. An agent skill from secondsky/claude-skills. | secondsky/ | 227 | — | ~3.2k | Automated safety check: Pass | MIT | 11 days ago |
| 35 | 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/ | 330 | — | ~726 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 36 | Use this sub-skill for MLflow Models, pyfunc, flavor APIs, signatures, input examples, dependencies, local serving/prediction, and mlflow.evaluate workflows. | VectorSpaceLab/ | 330 | — | ~675 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 37 | 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/ | 190 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 38 | Searches and retrieves MLflow documentation from the official docs site. | Kilo-Org/ | 190 | — | ~666 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 39 | MLflow, Weights & Biases 등 실험 추적 도구 설정, 재현성 보장, 모델 레지스트리, 실험 비교 방법론 가이드. | revfactory/ | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
Questions, answered from the data.
What is the best MLflow skill?
Osmo Lerobot Training (official) from microsoft/physical-ai-toolchain ranks first of the 39 MLflow skills listed here, with the highest score: its repository has 123 GitHub stars, its SKILL.md loads about 3.8k tokens and it has informational notes only in the automated safety check. Next come Databricks Model Serving and Compileiq Run Search.
Is there an official MLflow skill?
9 of the 39 MLflow skills are official, published by the vendor's own GitHub organization: Osmo Lerobot Training, Databricks Model Serving, Compileiq Run Search, Databricks ML Training, Nv Segment Ct Finetune and 4 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.