AWS ships aws-ai-ml skill that turns coding agents into SageMaker inference optimization experts
AWS ML Blog · rss · 2026-10-06
Amazon released the aws-ai-ml agent skill via Agent Toolkit for AWS, giving MCP-compatible coding agents like Kiro, Claude Code, and Codex deep expertise in SageMaker AI inference optimization and benchmarking.
Capabilities:
- Benchmark existing endpoints: generates Python notebooks running real load tests with quantitative reports on throughput (RPS, tokens/s), latency (p50/p99, TTFT, inter-token), and concurrency, plus optimization suggestions like prefill decoding.
- Instance selection: point it at an S3 model URI, a JumpStart model ID, or a Hugging Face Hub model, and it recommends instance types based on performance targets and cost constraints.
- Generates executable, reviewable SageMaker Python SDK v3 code, keeping every step transparent.
Install via Agent Toolkit (aws configure agent-toolkit then npx skills add aws/agent-toolkit-for-aws/skills/aws-ai-ml) or use the pre-configured SageMaker Studio image; AWS claims zero-to-working in 10 minutes.
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