What problem does it solve? Building on Amazon Bedrock involves five separate API endpoints, provider-specific request formats, and frequent model and configuration changes that cause errors like ThrottlingException, AccessDeniedException, and malformed requests. This Skill provides authoritative, up-to-date procedures and reference files so agents invoke models, build RAG pipelines, create agents, and deploy to AgentCore correctly the first time. ## Core Features & Use Cases - Model Invocation: Guides Converse API vs InvokeModel selection, enforces explicit maxTokens to prevent silent quota reservation, and provides Python and TypeScript SDK patterns. - Knowledge Bases (RAG): Step-by-step KB creation, chunking strategy selection, retrieval modes (retrieve-and-generate vs retrieve), and ingestion troubleshooting. - Agents and AgentCore: Covers Bedrock Agents with action groups, migration to AgentCore Harness, Gateway target setup, Memory, Identity, Payments (x402), and observability. - Operations Workflows: Prompt caching setup and debugging, quota health audits, cost tracking by team or model, and Claude generation migration checklists. - Use Case: A developer hits repeated ThrottlingException errors; the Skill diagnoses unset maxTokens reserving excess quota, checks service quotas, and recommends cross-region inference profiles. ## Quick Start Ask the assistant to invoke a Claude model on Bedrock using the Converse API with maxTokens set explicitly, or to walk you through creating a Knowledge Base for your documents.
