AWS releases the aws-ai-ml skill so Claude Code, Codex and Kiro can benchmark SageMaker inference endpoints and generate deployment code
A cloud vendor packages which-instance-and-how-to-deploy know-how as a coding-agent skill: you describe the goal, it writes code you can review and run.
// Key points
- Available through the Agent Toolkit for AWS and works with any MCP-compatible coding agent, including Kiro, Claude Code and Codex.
- The agent can benchmark endpoints, recommend deployment configurations, compare performance runs and generate executable SageMaker Python SDK v3 code.
- Setup requires AWS CLI 2.35+ and uv; generated code runs under your own AWS credentials, and AWS says you can go from zero to a working conversation in 10 minutes.
- Kiro and Claude Code can also discover and load skills at runtime through the AWS MCP Server without a local install.
Builder's takeSkills are becoming how cloud vendors compete for the coding-agent entry point: whoever's deployment know-how lives inside the agent gets picked more often. I like that it produces code rather than opaque actions, but benchmarks spin up real endpoints and real bills; give the agent a separate account with a budget cap before letting it run.