tracking-model-versions

## Overview This skill empowers Claude to interact with the model-versioning-tracker plugin, providing a streamlined approach to managing and tracking AI/ML model versions. It ensures that model development and deployment are conducted with proper version control, logging, and performance monitoring. ## How It Works 1. **Analyze Request**: Claude analyzes the user's request to determine the specific model versioning task. 2. **Generate Code**: Claude generates the necessary code to interact with the model-versioning-tracker plugin. 3. **Execute Task**: The plugin executes the code, performing the requested model versioning operation, such as tracking a new version or retrieving performance metrics. ## When to Use This Skill This skill activates when you need to: - Track new versions of AI/ML models. - Retrieve performance metrics for specific model versions. - Implement automated workflows for model versioning. ## Examples ### Example 1: Tracking a New Model Version User request: "Track a new version of my image classification model." The skill will: 1. Generate code to log the new model version and its associated metadata using the model-versioning-tracker plugin. 2. Execute the code, creating a new entry in the model registry. ### Example 2: Retrieving Performance Metrics User request: "Get the performance metrics for version 3 of my sentiment analysis model." The skill will: 1. Generate code to query the model-versioning-tracker plugin for the performance metri...