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amazon-bedrock

Construct and manage generative AI applications on Amazon Bedrock.

2|Updated May 15, 2026
Search Tags:#RAG#agents#generative AI#AgentCore#Guardrails#model invocation#Amazon Bedrock
One-click install
npx skills add https://github.com/mashharuki/floci-sample --skill amazon-bedrock-mashharuki
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: amazon-bedrock
Source: https://github.com/mashharuki/floci-sample/tree/main/.agents/skills/amazon-bedrock
Command: npx skills add https://github.com/mashharuki/floci-sample --skill amazon-bedrock-mashharuki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires awscli, bedrock-cli, bedrock-sdk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you build and deploy generative AI applications on Amazon Bedrock, providing tools for model invocation, RAG with Knowledge Bases, agent creation, content safety with Guardrails, and deployment with AgentCore.

Core Features & Use Cases

  • Model Invocation: Invoke models using Converse API, InvokeModel, and other Bedrock APIs.
  • RAG with Knowledge Bases: Create and query Knowledge Bases for RAG applications.
  • Agent Creation: Create Bedrock Agents with action groups and Knowledge Base association.
  • Guardrails: Apply Guardrails for content safety and compliance.
  • Deployment: Deploy agents to AgentCore for production use.
  • Use Case: Imagine you want to build a chatbot that can answer customer queries using information from a Knowledge Base. Use this Skill to create the chatbot, train it with a Knowledge Base, and deploy it to AgentCore.

Quick Start

Use the 'amazon-bedrock' skill to create a Bedrock Agent that can answer customer queries. Start by defining the agent's instructions and actions.

Frequently Asked Questions about amazon-bedrock

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

FAQPage Schema
How do I build a generative AI application with Amazon Bedrock and a Knowledge Base?▼

To build a generative AI application with Amazon Bedrock, use this Skill to create a Knowledge Base for RAG, invoke models via the Converse API, and deploy the resulting chatbot to production using AgentCore.

What do I need to set up before invoking models on Amazon Bedrock?▼

Before invoking models on Amazon Bedrock, you need to install the AWS CLI, bedrock-cli, and bedrock-sdk to configure your environment and establish the necessary API access for generative AI operations.

How do I add content safety and compliance Guardrails to a Bedrock Agent?▼

To add content safety and compliance Guardrails to a Bedrock Agent, use this Skill to apply Guardrails alongside your agent creation, ensuring your generative AI application filters unsafe content before deployment.

What is the best way to deploy Bedrock Agents to production?▼

The best way to deploy Bedrock Agents to production is by using AgentCore, which this Skill configures after you define agent instructions, associate action groups, and link your Knowledge Base.

Can I use Amazon Bedrock for Retrieval-Augmented Generation without external infrastructure?▼

Yes, you can implement Retrieval-Augmented Generation by creating and querying Bedrock Knowledge Bases directly, using the provided scripts and SDKs to manage the entire RAG application lifecycle within your AWS environment.

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