agent-mlflow-skill-environment-check

What problem does it solve?

This Skill unit helps users ensure their environment is properly configured for MLflow model development, addressing common issues such as Python version, dependencies, MLflow installation, and required AI Studio settings.

Core Features & Use Cases

• Environment Verification: Checks Python version, dependencies, MLflow setup, environment variables, and AI Studio settings.
• Dependency Management: Validates the presence and version of essential dependencies for MLflow.
• MLflow Setup: Verifies MLflow installation and version compatibility.
• Use Case: Before starting MLflow model development, run this Skill to confirm that your environment meets all the necessary requirements for a smooth development process.

Quick Start

Run the environment check for your MLflow project with the following command:

python .opencode/scripts/03-environment-check/check_environment.py --project <selected_project_path>