AI & LLM Engineering · Amazon Web Services · For data scientists

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

Generate preventive Well-Architected guardrails — AWS Config rules, Service Control Policies, permission boundaries, CloudWatch alarms, and IaC policy checks (CDK Aspects, cfn-guard, OPA/Sentinel) —…

aws-samples/sample-well-architected-skills-and-steering

Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost.

Orchestra-Research/AI-Research-SKILLs

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

Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens.

awslabs/agent-plugins

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors).

aws/agent-toolkit-for-aws

Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration…

aws/agent-toolkit-for-aws

提供数据库设计、优化、数据工程和数据分析能力。当需要处理数据库操作、数据管道或数据分析时使用. An agent skill from Prorise-cool/Claude-Code-Multi-Agent.

Prorise-cool/Claude-Code-Multi-Agent

YOLO mode. An agent skill from davepoon/buildwithclaude.

davepoon/buildwithclaude