sagemaker-ai
PackCloud & infrasagemaker-ai is a plugin that brings AWS AI/ML expertise into coding assistants, letting an agent build, train, and deploy machine learning models with Amazon SageMaker AI. It covers the surface area of SageMaker, so model development tasks can be handled through the agent instead of separate tooling.
Unavailable. Delivery for this kind is on the roadmap — not serving yet.
Have access to Amazon SageMaker AI and an agent that supports plugins.
What your AI can do with it
- Build machine learning models through the agent
- Train models using Amazon SageMaker AI
- Deploy trained models to SageMaker endpoints
- Cover the SageMaker AI surface area from a coding assistant
Getting started
- Have access to Amazon SageMaker AI and an agent that supports plugins.
- Install the sagemaker-ai plugin in the agent.
- Configure AWS credentials so the plugin can reach SageMaker.
- Ask the agent to build, train, or deploy a model.
Signals
- GitHub stars
- 37k
- Forks
- 4k
- Last commit
- Sep 2026
Questions
- What does sagemaker-ai do?
- It is a plugin that lets an agent build, train, and deploy machine learning models using Amazon SageMaker AI, covering the surface area of the service.
- Do I need an AWS account?
- The plugin works with Amazon SageMaker AI, so access to that service and working AWS credentials are needed.
Advanced
- Item type
- plugin
- Key
anthropics-claude-plugins-official-sagemaker-ai- Source
- github.com/anthropics/claude-plugins-official