model-registry

Complete guide to MLflow Model Registry for versioning, lifecycle management, and collaboration.

Skills
AI research
0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/model-registry && curl -fsSL https://doutorai.pt/data/lib/skills__model-registry.md -o .claude/skills/model-registry/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Model Registry Guide

Complete guide to MLflow Model Registry for versioning, lifecycle management, and collaboration.

## Table of Contents
- What is Model Registry
- Registering Models
- Model Versions
- Stage Transitions
- Model Aliases (Modern Approach)
- Searching Models
- Model Annotations
- Collaborative Workflows
- Best Practices

## What is Model Registry

The Model Registry is a centralized model store for managing the full lifecycle of MLflow Models.

**Key Features:**
- **Versioning**: Automatic version increments (v1, v2, v3...)
- **Stages**: None, Staging, Production, Archived 

- 🔒 Full content on the Pro plan (€7.99/month) -

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