conda-env-manager

What problem does it solve?

Conda environments are central to reproducible ML workflows, but managing them safely and without touching the base system is error-prone. This skill provides a guided, safe, and auditable way to plan, create, export, clone, update, remove, and activate environments, enforcing best practices and reproducibility across projects.

Core Features & Use Cases

• Isolated lifecycle management: create, export, update, clone, remove, list, and activate environments without modifying the base.
• Reproducibility and auditing: export environment.yml, maintain versioned metadata, and log actions for team sharing.
• Safe execution workflow: dry-run previews, explicit user confirmation, and automated validation before applying changes.

Quick Start

Create a new isolated conda environment for your project and export its specification to environment.yml.