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From MLflow Skills
Dispatches MLflow tasks to the appropriate sub-skill for tracing, evaluation, debugging, and onboarding. Use when the user needs MLflow help but hasn't specified a sub-skill.
npx claudepluginhub mlflow/skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/mlflow:mlflow-agentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Master dispatcher for MLflow workflows. Reads user intent and invokes the right sub-skill.
Determines a user's MLflow use case (GenAI or traditional ML) and guides them through relevant quickstart tutorials and initial integration steps.
Turns model work into production ML systems with data contracts, repeatable training, quality gates, deployable artifacts, and monitoring. Useful for ranking, search, recommendations, classifiers, forecasting, embeddings, LLMs, anomaly detection, and batch analytics.
Audits ML pipeline reproducibility, experiment tracking hygiene, and model versioning. Advises on serving patterns and prompt evaluation across MLflow, W&B, SageMaker, Vertex AI.
Share bugs, ideas, or general feedback.
Master dispatcher for MLflow workflows. Reads user intent and invokes the right sub-skill.
Use when the user wants to do anything with MLflow but hasn't specified which skill to use.
instrumenting-with-mlflow-tracingagent-evaluationanalyze-mlflow-traceanalyze-mlflow-chat-sessionretrieving-mlflow-tracesquerying-mlflow-metricsmlflow-onboardingsearching-mlflow-docs