Does it support production-ready code?

Absolutely; it generates validated configurations and code snippets tailored for production environments and standard MLOps pipelines.

What is the Prediction Monitor skill?

It is a specialized extension for Claude Code that provides automated assistance and best practices for monitoring machine learning model predictions in production.

Is this part of a larger toolkit?

Yes, it is part of the ML Deployment skill category, focusing on the lifecycle of machine learning models after they have been moved to production.

Can this skill help with data drift?

Yes, it provides implementation patterns and guidance for identifying data and concept drift to ensure your models remain accurate over time.

How do I activate the Prediction Monitor skill?

The skill activates automatically when you mention 'prediction monitor', ask about monitoring patterns, or request help with ML deployment tasks within Claude Code.

Prediction Monitor

Name: Prediction Monitor
Author: jeremylongshore

byjeremylongshore

•

982

Analíticas y Monitorización

Monitors machine learning model predictions in production to ensure accuracy, detect drift, and optimize inference performance.

Acerca de

Prediction Monitor is a specialized Claude Code skill designed for MLOps and ML Deployment workflows. It provides automated assistance for setting up and managing monitoring systems for machine learning models, offering step-by-step guidance on tracking prediction quality, identifying data drift, and ensuring model serving stability. By following industry best practices, it helps developers generate production-ready configurations and validates monitoring outputs to maintain high-performing AI applications in real-world environments.

Características Principales

Step-by-step guidance for MLOps pipeline integration
Automated prediction quality tracking and drift detection
Generation of production-ready monitoring configurations
Optimized patterns for model serving and inference performance
982 GitHub stars
Validation of monitoring outputs against industry standards

Casos de Uso

Detecting feature and concept drift in live prediction data
Setting up real-time observability for production ML models
Troubleshooting performance degradation in inference pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills prediction-monitor

For use in Claude.ai and ChatGPT

Download Skill

GitHub