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strands-agent

Build AI agents with Strands Agents SDK and deploy on Amazon Bedrock AgentCore.

15|20|Updated May 11, 2026
Search Tags:#typescript#python#llm evaluation#ai agents#strands#agentcore#amazon bedrock
One-click install
npx skills add https://github.com/awslabs/startups --skill strands-agent-awslabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: strands-agent
Source: https://github.com/awslabs/startups/tree/main/solution-architecture/plugins/aws-dev-toolkit/skills/strands-agent
Command: npx skills add https://github.com/awslabs/startups --skill strands-agent-awslabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers create AI agents with the Strands Agents SDK and deploy them on Amazon Bedrock AgentCore without having to design the complete project structure, tooling, observability, evaluation, and deployment workflow from scratch.

Core Features & Use Cases

  • Agent Scaffolding: Guides the creation of new Strands agent projects in TypeScript or Python with appropriate project structures and custom tools.
  • AgentCore Integration: Covers deployment, memory configuration, observability setup, and runtime patterns for Amazon Bedrock AgentCore applications.
  • Evaluation Workflows: Adds Strands Evals patterns for testing agent quality, tool usage, safety, and goal completion in development and production scenarios.

Quick Start

Ask the strands-agent skill to scaffold a new Strands AI agent for a specific business use case and prepare it for AgentCore deployment.

Frequently Asked Questions about strands-agent

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

FAQPage Schema
How do I build AI agents with the Strands SDK and deploy them on Amazon Bedrock AgentCore?▼

Build Strands AI agents by scaffolding projects in TypeScript or Python with custom tools, then configuring memory, OpenTelemetry observability, and AgentCore CLI deployment patterns for Amazon Bedrock AgentCore production workflows.

Can I use Strands agents for both prototyping and production AI application workflows?▼

Strands agents support greenfield development, prototyping, migration projects, and production AI application workflows by providing agent scaffolding, custom tool integration, observability setup, and AgentCore deployment capabilities.

How do I evaluate AI agent quality and tool usage in Strands?▼

Evaluate Strands AI agents using Strands Evals patterns to test agent quality, tool usage, safety, and goal completion in both development and production scenarios.

What's the best way to set up observability for Strands AI agents?▼

Set up observability for Strands AI agents by configuring OpenTelemetry integration within your agent project structure, enabling runtime monitoring and tracing for Amazon Bedrock AgentCore applications.

Does the Strands Agents SDK support both Python and TypeScript for custom tool integration?▼

The Strands Agents SDK supports both TypeScript and Python for agent scaffolding and custom tool integration, allowing you to build and deploy agents in your preferred language on Amazon Bedrock AgentCore.

Why do I need to configure memory and runtime patterns for Amazon Bedrock AgentCore applications?▼

Configuring memory and runtime patterns for Amazon Bedrock AgentCore applications ensures your Strands AI agents maintain state and execute production-ready workflows with proper observability and deployment configurations.

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