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amazon-bedrock

Build Bedrock AI applications with model invocation, knowledge bases, and agents.

2.3k|234|Updated Apr 23, 2026
Search Tags:#bedrock#guardrails#knowledge-base#cost-tracking#agentcore#quotas#model-invocation
One-click install
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill amazon-bedrock-aws
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: amazon-bedrock
Source: https://github.com/aws/agent-toolkit-for-aws/tree/main/plugins/aws-core/skills/amazon-bedrock
Command: npx skills add https://github.com/aws/agent-toolkit-for-aws --skill amazon-bedrock-aws

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Streamline building Bedrock-based AI applications.

Core Features & Use Cases

This Skill covers model invocation (Converse API and InvokeModel), knowledge bases (RAG), Bedrock Agents, Guardrails, and AgentCore deployment, with workflows for prompt caching, quotas, and cost tracking across development and production.

Quick Start

Streamline building Bedrock-based AI applications. Follow the guided prompts to create knowledge bases, agents, or guardrails using Bedrock workflows.

Frequently Asked Questions about amazon-bedrock

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure Bedrock guardrails for AI applications?▼

To configure Bedrock guardrails, you must define guardrail policies and enforce them during model invocation. This skill provides canonical workflows for explicit guardrails configuration to ensure safety requirements are met.

What's the best way to build a Bedrock knowledge base for RAG?▼

Building a Bedrock knowledge base requires correct vector-store setup and proper IAM permissions. This skill provides canonical CLI workflows to guide you through the correct knowledge-base setup for retrieval-augmented generation applications.

How do I track token usage and cost for Bedrock model invocation?▼

You can track Bedrock cost by monitoring model invocation metrics and managing quotas. This skill provides cost tracking workflows across development and production environments to enforce explicit maxTokens limits.

Can I use Bedrock Agents and AgentCore for production deployment?▼

Yes, you can deploy Bedrock Agents using AgentCore for production. This skill covers the necessary workflows and best-practice IAM permissions required for deploying AI agents via the AgentCore runtime.

Does Bedrock Converse API support prompt caching?▼

Yes, the Bedrock Converse API supports prompt caching alongside InvokeModel workflows. This skill outlines how to implement prompt caching and model invocation while adhering to best-practice requirements like explicit maxTokens.

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