New agent skill: Amazon SageMaker optimized generative AI inference for your coding agent
Amazon SageMaker optimized generative AI inference introduces the aws-ai-ml skill through the Agent Toolkit for AWS, giving coding agents like Kiro, Claude Code, and Codex deep expertise in inference optimization and benchmarking. Describe what you want, and your agent generates executable SageMaker Python SDK v3 code to benchmark, recommend, and compare deployments.
Amazon has introduced a new skill for coding agents called aws-ai-ml, which optimizes generative AI inference for development workflows. This skill, available through the Agent Toolkit for AWS, enables coding agents like Kiro, Claude Code, and Codex to benchmark endpoints, recommend deployment configurations, compare performance runs, and generate executable SageMaker Python SDK v3 code.
The skill plugs into any coding agent that supports the Model Context Protocol (MCP), turning it into a SageMaker AI inference optimization expert. By providing targeted clarifying questions and generating code grounded in real benchmarks and performance data, the aws-ai-ml skill helps bridge the gap between engineers' use cases and the infrastructure required for production.
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