mlflow

Original：🇺🇸 English

Translated

MLflow ML lifecycle management. Use for ML experiment tracking.

1installs

Added on2026-02-11

NPX Install

npx skill4agent add g1joshi/agent-skills mlflow

MLflow is the standard for tracking experiments. v3.0 (2025) pivots to GenAI, adding LLM Tracing, Prompt Management, and "LLM-as-a-Judge".

Experiment Tracking: Logging hyperparameters (
```
lr=0.01
```
) and metrics (
```
accuracy=0.98
```
).
GenAI Tracing: Visualizing the full chain of a RAG application.
Model Registry: Versioning models (
```
my-model/v3
```
) for deployment.

Where logs are stored (local

./mlruns

or remote

http://mlflow-server

).

mlflow.autolog()

automatically captures params from Scikit-learn, PyTorch, etc.

OpenTelemetry-based tracing to debug prompt chains.

Do:

Don't:

Don't use it for data storage: Log artifacts (models), not datasets. Log metadata about datasets instead.