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domino-model-endpoints

Official

Deploy and monitor ML models as APIs.

Software Engineering#monitoring#api#mlops#scaling#model deployment#domino
Authordominodatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of deploying machine learning models as production-ready API endpoints, enabling seamless integration into applications and workflows.

Core Features & Use Cases

  • Model Deployment: Easily deploy trained models from your Domino projects as scalable REST APIs.
  • Monitoring & Scaling: Provides tools for monitoring endpoint performance (latency, errors, resource usage) and automatically scales resources based on demand.
  • Use Case: Deploy a fraud detection model as an API that your e-commerce platform can call in real-time to score transactions.

Quick Start

Use the domino-model-endpoints skill to deploy the 'fraud-detector' model from your current project.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: domino-model-endpoints
Download link: https://github.com/dominodatalab/domino-claude-plugin/archive/main.zip#domino-model-endpoints

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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