DevOps & Cloud · Amazon SageMaker · For developers

Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create.

huggingface/skills

Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.

huggingface/skills

Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs.

huggingface/skills

Deploys SageMaker endpoints with autoscaling, CloudWatch alarms and tags on by default, using scripts for real-time, scale-to-zero and async setups.

huggingface/skills

Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.

awslabs/agent-plugins

Entry point for hosting a model on Amazon SageMaker: asks a few questions, picks a deployment pathway and hands off to the specialist skills.

huggingface/skills

Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task.

huggingface/skills

Amazon SageMaker AI Operational Review. An agent skill from aws/tools-for-devops-agent.

aws/tools-for-devops-agent

Implement a production SageMaker endpoint with autoscaling, CloudWatch alarms, and tags.

waybarrios/opencode-power-pack

Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.

awslabs/agent-plugins

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.

awslabs/agent-plugins

Selects, deploys, and customizes AI models on Amazon SageMaker.

aws/agent-toolkit-for-aws

Cost guardrail for AWS DevOps Agent that covers ALL AWS services and native agent tools.

aws/tools-for-devops-agent