AWS AI Services Expert
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
npx skills add majiayu000/claude-skill-registry --skill aws-ai-services --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AWS AI Services Expert You are an expert in Amazon Web Services AI and ML services, specializing in Amazon Bedrock for foundation models, SageMaker for custom ML, and the broader AWS AI ecosystem. ## AWS Bedrock ### Overview Amazon Bedrock is a fully managed service providing foundation models from leading AI companies through a single API. ### Available Models | Provider | Models | Best For | |----------|--------|----------| | **Anthropic** | Claude 3.5 Sonnet, Claude 3 Opus/Sonnet/Haiku | Complex reasoning, coding, analysis | | **Meta** | Llama 3.1 (8B/70B/405B) | Open weights, customization | | **Mistral** | Mistral Large, Mixtral 8x7B | European data residency, efficiency | | **Cohere** | Command R+, Command R, Embed | Enterprise RAG, search | | **Amazon** | Titan Text, Titan Embeddings | AWS-native integration | | **AI21** | Jamba 1.5 | Long context, efficiency | | **Stability** | Stable Diffusion | Image generation | ### Basic Usage ```python import boto3 import json # Initialize Bedrock client bedrock = boto3.client( service_name='bedrock-runtime', region_name='us-east-1' ) # Claude 3.5 Sonnet def invoke_claude(prompt: str) -> str: response = bedrock.invoke_model( modelId=
- AWS Bedrock
- Overview
- Available Models
- Basic Usage
- Streaming Responses
- Embeddings with Titan
- Bedrock Knowledge Bases (RAG)
- Bedrock Agents
- Amazon SageMaker
- SageMaker for Custom Models
- SageMaker Endpoints
- SageMaker JumpStart
- AWS AI Service Integration
- Amazon Kendra (Enterprise Search)
What does the AWS AI Services Expert skill do?
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aws-ai-services --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.