speak-install-auth
Install and configure Speak Language Learning SDK/API authentication. Use when setting up a new Speak integration, configuring API keys, or initializing Speak services in your language learning application. Trigger with phrases like "install speak", "setup speak", "speak auth", "configure speak API key", "speak language learning setup".
Install
mkdir -p .claude/skills/speak-install-auth && curl -L -o skill.zip "https://mcp.directory/api/skills/download/7099" && unzip -o skill.zip -d .claude/skills/speak-install-auth && rm skill.zipInstalls to .claude/skills/speak-install-auth
About this skill
Speak Install & Auth
Overview
Set up the Speak language learning platform integration. Speak uses OpenAI's GPT-4o and Realtime API for AI tutoring with real-time pronunciation feedback. Supports 14+ languages including Korean, Spanish, Japanese, French, and Mandarin.
Prerequisites
- Node.js 18+ or Python 3.10+
- Speak developer account with API access
- Microphone for speech input testing
Instructions
Step 1: Install Dependencies
set -euo pipefail
# Core Speak SDK
npm install @speak/language-sdk
# Audio processing dependencies
npm install openai # OpenAI Realtime API for speech
npm install fluent-ffmpeg # Audio format conversion
npm install node-record-lpcm16 # Microphone capture
Step 2: Configure Authentication
# Speak API credentials
export SPEAK_API_KEY="your-speak-api-key"
export SPEAK_APP_ID="your-app-id"
# OpenAI key for Realtime API (used by Speak for speech processing)
export OPENAI_API_KEY="your-openai-key"
# Create .env file
cat << 'EOF' >> .env
SPEAK_API_KEY=your-speak-api-key
SPEAK_APP_ID=your-app-id
OPENAI_API_KEY=your-openai-key
EOF
Step 3: Initialize the Client
// src/speak/client.ts
import { SpeakClient } from '@speak/language-sdk';
const client = new SpeakClient({
apiKey: process.env.SPEAK_API_KEY!,
appId: process.env.SPEAK_APP_ID!,
language: 'es', // Target language: es, ko, ja, fr, de, pt, zh, id
});
// Verify connection
async function verifySetup() {
const languages = await client.getLanguages();
console.log('Available languages:', languages.map(l => l.code).join(', '));
const health = await client.health.check();
console.log('API status:', health.status);
}
verifySetup();
Step 4: Configure Speech Recognition
// OpenAI Realtime API for speech-to-text (used by Speak)
import OpenAI from 'openai';
const openai = new OpenAI();
async function transcribeAudio(audioPath: string): Promise<string> {
const transcription = await openai.audio.transcriptions.create({
file: fs.createReadStream(audioPath),
model: 'whisper-1',
language: 'es', // Match target language
});
return transcription.text;
}
Step 5: Supported Languages
| Language | Code | Pronunciation | Conversation |
|---|---|---|---|
| Korean | ko | Yes | Yes |
| Spanish | es | Yes | Yes |
| Japanese | ja | Yes | Yes |
| French | fr | Yes | Yes |
| German | de | Yes | Yes |
| Portuguese (BR) | pt | Yes | Yes |
| Mandarin (Simplified) | zh-CN | Yes | Yes |
| English | en | Yes | Yes |
| Indonesian | id | Yes | Yes |
Output
- Speak SDK installed and configured
- API key and OpenAI credentials set
- Language support verified
- Speech recognition pipeline ready
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Invalid API Key | Wrong or expired key | Verify at developer.speak.com dashboard |
| App ID Mismatch | Wrong application ID | Check app settings in Speak dashboard |
| OpenAI auth failed | Invalid OpenAI key | Verify at platform.openai.com |
| Module not found | Installation failed | Run npm install again |
| Language not supported | Invalid language code | Use codes from supported languages table |
Resources
Next Steps
After successful auth, proceed to speak-hello-world for your first lesson session.
Examples
Quick test: Set SPEAK_API_KEY, initialize the client with language: 'ko' for Korean, and call client.health.check() to verify connectivity.
Python setup: Install speak-language-sdk via pip, initialize with api_key from environment, and verify with a health check.
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