auri-core

Embed Claude-powered reasoning and persistent memory into Alexa Skills.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ProgramadorBrasil/antigravity-skills --skill auri-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auri-core
Source: https://github.com/ProgramadorBrasil/antigravity-skills/tree/main/skills/auri-core
Command: npx skills add https://github.com/ProgramadorBrasil/antigravity-skills --skill auri-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auri Core enables building an Alexa-based, Claude-powered voice assistant with persistent memory, enabling more natural, context-aware conversations and scalable AWS integration.

Core Features & Use Cases

  • Multi-turn conversations with persistent memory via DynamoDB.
  • Claude-powered reasoning integrated into the Lambda-based skill flow.
  • End-to-end deployment, monitoring, and security best practices for production-grade skills.

Quick Start

Boot the Auri Core Skill in your AWS Lambda environment to start a memory-enabled Alexa experience.

Frequently Asked Questions about auri-core

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

FAQPage Schema
How do I add persistent memory to an Alexa Skill using DynamoDB?

Persistent memory in Alexa Skills is enabled by storing conversation context and session state in DynamoDB, allowing the voice assistant to recall previous interactions and maintain context across multi-turn conversations.

Can I integrate Claude reasoning into an AWS Lambda Alexa voice assistant?

Yes, Claude reasoning can be integrated into an AWS Lambda Alexa voice assistant by routing user intents through the Claude API within the modular Lambda handler to process complex conversational logic.

What is the best way to build a production-grade Alexa Skill with Claude?

Building a production-grade Alexa Skill with Claude requires a modular Lambda handler, DynamoDB for memory persistence, and CloudWatch for monitoring to ensure scalable AWS-backed deployment and robust multi-turn conversations.

Does Alexa support multi-turn conversations with context-aware memory?

Alexa supports multi-turn conversations with context-aware memory by integrating a persistent storage layer like DynamoDB with a reasoning engine, allowing the voice assistant to retrieve and apply historical session data dynamically.

Do I need AWS Lambda and DynamoDB to deploy a Claude-powered Alexa voice assistant?

You need AWS Lambda and DynamoDB to deploy a Claude-powered Alexa voice assistant if you require modular serverless execution logic and persistent memory storage to maintain state across multi-turn user interactions.