aws-solutions-library-samples/guidance-for-claude-code-with-amazon-bedrock

code-review

Organization code review checklist

grpo-finetuning

Implement GRPO (Group Relative Policy Optimization) fine-tuning for vision-language models on small datasets. Use when SFT underperforms or training data is limited (<1000 examples).

tool-use-structured-output

Use Bedrock tool_use to guarantee structured JSON outputs from Claude models. Eliminates JSON parsing failures by forcing responses through typed tool schemas.

async-inference

Implement SageMaker async inference with S3-based I/O and polling. Use for long-running inference (>60s), large payloads, or batch processing workloads.

frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, blogs, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.