/amazon-alexa

name: amazon-alexa
description: "Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home)."
risk: safe
source: community
date_added: '2026-03-06'
author: renat
tags:
- voice
- alexa
- aws
- smart-home
- iot
tools:
- claude-code
- antigravity
- cursor
- gemini-cli
- codex-cli

AMAZON ALEXA — Voz Inteligente com Claude

Overview

Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home).

When to Use This Skill

• When you need specialized assistance with this domain

Do Not Use This Skill When

• The task is unrelated to amazon alexa
• A simpler, more specific tool can handle the request
• The user needs general-purpose assistance without domain expertise

How It Works

> Voce e o especialista em Alexa e AWS Voice. Missao: transformar > qualquer dispositivo Alexa em assistente ultra-inteligente usando > Claude como LLM backend, com voz neural, memoria persistente e > controle de Smart Home. Projeto-chave: AURI.

---

1. Visao Geral Do Ecossistema

[Alexa Device] → [Alexa Cloud] → [AWS Lambda] → [Claude API]
    Fala          Transcricao      Logica          Inteligencia
      ↑               ↑               ↑                ↑
   Usuario         Intent        Handler          Anthropic
                               + DynamoDB
                               + Polly TTS
                               + APL Visual

Componentes Da Arquitetura Auri

| Componente | Servico AWS | Funcao | |-----------|-------------|--------| | Voz → Texto | Alexa ASR nativo | Reconhecimento de fala | | NLU | ASK Interaction Model + Lex V2 | Extrair intent e slots | | Backend | AWS Lambda (Python/Node.js) | Logica e orquestracao | | LLM | Claude API (Anthropic) | Inteligencia e respostas | | Persistencia | Amazon DynamoDB | Historico e preferencias | | Texto → Voz | Amazon Polly (neural) | Fala natural da Auri | | Interface Visual | APL (Alexa Presentation Language) | Telas em Echo Show | | Smart Home | Alexa Smart Home API | Controle de dispositivos | | Automacao | Alexa Routines API | Rotinas inteligentes |

---

2.1 Pre-Requisitos

## Ask Cli

npm install -g ask-cli
ask configure

## Aws Cli

pip install awscli
aws configure

Criar Skill Com Template

ask new \ --template hello-world \ --skill-name auri \ --language pt-BR

└── .Ask/Ask-Resources.Json

## 2.3 Configurar Invocation Name

No arquivo `models/pt-BR.json`:
```json
{
  "interactionModel": {
    "languageModel": {
      "invocationName": "auri"
    }
  }
}

---

3.1 Intents Essenciais Para Auri

{
  "interactionModel": {
    "languageModel": {
      "invocationName": "auri",
      "intents": [
        {"name": "AMAZON.HelpIntent"},
        {"name": "AMAZON.StopIntent"},
        {"name": "AMAZON.CancelIntent"},
        {"name": "AMAZON.FallbackIntent"},
        {
          "name": "ChatIntent",
          "slots": [{"name": "query", "type": "AMAZON.SearchQuery"}],
          "samples": [
            "{query}",
            "me ajuda com {query}",
            "quero saber sobre {query}",
            "o que voce sabe sobre {query}",
            "explique {query}",
            "pesquise {query}"
          ]
        },
        {
          "name": "SmartHomeIntent",
          "slots": [
            {"name": "device", "type": "AMAZON.Room"},
            {"name": "action", "type": "ActionType"}
          ],
          "samples": [
            "{action} a {device}",
            "controla {device}",
            "acende {device}",
            "apaga {device}"
          ]
        },
        {
          "name": "RoutineIntent",
          "slots": [{"name": "routine", "type": "RoutineType"}],
          "samples": [
            "ativa rotina {routine}",
            "executa {routine}",
            "modo {routine}"
          ]
        }
      ],
      "types": [
        {
          "name": "ActionType",
          "values": [
            {"name": {"value": "liga", "synonyms": ["acende", "ativa", "liga"]}},
            {"name": {"value": "desliga", "synonyms": ["apaga", "desativa", "desliga"]}}
          ]
        },
        {
          "name": "RoutineType",
          "values": [
            {"name": {"value": "bom dia", "synonyms": ["acordar", "manhã"]}},
            {"name": {"value": "boa noite", "synonyms": ["dormir", "descansar"]}},
            {"name": {"value": "trabalho", "synonyms": ["trabalhar", "foco"]}},
            {"name": {"value": "sair", "synonyms": ["saindo", "goodbye"]}}
          ]
        }
      ]
    }
  }
}

---

4.1 Handler Principal Python

import os
import time
import anthropic
import boto3
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.handler_input import HandlerInput
from ask_sdk_core.utils import is_intent_name, is_request_type
from ask_sdk_model import Response
from ask_sdk_dynamodb_persistence_adapter import DynamoDbPersistenceAdapter

## ============================================================

@sb.request_handler(can_handle_func=is_request_type("LaunchRequest"))
def launch_handler(handler_input: HandlerInput) -> Response:
    attrs = handler_input.attributes_manager.persistent_attributes
    name = attrs.get("name", "")
    greeting = f"Oi{', ' + name if name else ''}! Eu sou a Auri. Como posso ajudar?"
    return (handler_input.response_builder
            .speak(greeting).ask("Em que posso ajudar?").response)


@sb.request_handler(can_handle_func=is_intent_name("ChatIntent"))
def chat_handler(handler_input: HandlerInput) -> Response:
    try:
        # Obter query
        slots = handler_input.request_envelope.request.intent.slots
        query = slots["query"].value i