---
name: speak-hello-world
description: 'Create your first Speak AI tutoring session with pronunciation feedback.

  Use when starting a new Speak integration, testing your setup,

  or learning basic language learning API patterns.

  Trigger with phrases like "speak hello world", "speak example",

  "speak quick start", "first speak lesson".

  '
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(node:*)
version: 1.14.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- speak
- api
- testing
compatibility: Designed for Claude Code
---
# Speak Hello World

## Overview

Create your first AI tutoring session with Speak. Demonstrates conversation practice, pronunciation assessment, and real-time feedback using GPT-4o-powered tutoring.

## Prerequisites

- Completed `speak-install-auth` setup
- Valid API credentials configured
- Microphone access (optional for testing)

## Instructions

### Step 1: Start a Conversation Session

```typescript
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient({
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  language: 'es',
});

// Start a beginner Spanish lesson
const session = await client.startConversation({
  scenario: 'greetings',
  language: 'es',
  level: 'beginner',
  nativeLanguage: 'en',
});

console.log('Session ID:', session.id);
console.log('AI Tutor:', session.firstPrompt.text);
// Output: "Hola! Bienvenido a tu leccion de espanol. Como te llamas?"
console.log('Audio URL:', session.firstPrompt.audioUrl);
```

### Step 2: Send a Student Response

```typescript
// Submit text response (or audio file for pronunciation scoring)
const turn = await client.sendTurn(session.id, {
  text: 'Hola, me llamo Juan. Mucho gusto.',
  // Or: audioPath: './recordings/response.wav'
});

console.log('Tutor response:', turn.tutorText);
console.log('Pronunciation score:', turn.pronunciationScore); // 0-100
console.log('Grammar corrections:', turn.corrections);
// Output: [{original: "me llamo", suggestion: null, correct: true}]
console.log('Vocabulary notes:', turn.vocabularyNotes);
```

### Step 3: Pronunciation Assessment

```typescript
// Assess pronunciation of a specific phrase
const assessment = await client.assessPronunciation({
  audioPath: './recordings/hola-como-estas.wav',
  targetText: 'Hola, como estas?',
  language: 'es',
  detailLevel: 'phoneme', // 'word' or 'phoneme'
});

console.log(`Overall score: ${assessment.score}/100`);
for (const word of assessment.words) {
  console.log(`  "${word.text}": ${word.score}/100`);
  if (word.phonemes) {
    for (const p of word.phonemes.filter(p => p.score < 70)) {
      console.log(`    Weak phoneme: ${p.symbol} (${p.score}) - ${p.suggestion}`);
    }
  }
}
```

### Step 4: End Session and Review

```typescript
const summary = await client.endSession(session.id);
console.log('Session Summary:');
console.log(`  Duration: ${summary.durationMinutes} min`);
console.log(`  Turns: ${summary.totalTurns}`);
console.log(`  Pronunciation: ${summary.avgPronunciationScore}/100`);
console.log(`  Grammar: ${summary.grammarAccuracy}%`);
console.log(`  New vocabulary: ${summary.newWords.join(', ')}`);
```

## Output

- Working conversation session with AI tutor
- Pronunciation assessment with phoneme-level feedback
- Session summary with learning metrics
- Console output showing scores and corrections

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Session timeout | Exceeded max duration | Start a new session |
| Audio format invalid | Wrong codec or sample rate | Convert to WAV 16kHz mono |
| Language not supported | Invalid language code | Use supported codes (es, ko, ja, fr, de) |
| Low pronunciation score | Background noise | Record in a quiet environment |
| Rate limit exceeded | Too many requests | Wait and retry with backoff |

## Resources

- [Speak Website](https://speak.com)
- [Speak GPT-4 Blog](https://speak.com/blog/speak-gpt-4)
- [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime)

## Next Steps

Proceed to `speak-local-dev-loop` for development workflow setup.

## Examples

**Text-only test**: Skip audio and use text responses to test the conversation flow before integrating microphone input.

**Multi-language**: Start sessions in different languages by changing the `language` parameter to `ko` (Korean), `ja` (Japanese), or `fr` (French).


---
Source attribution: jeremylongshore
Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/speak-pack/skills/speak-hello-world/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Jeremy Longshore

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: jeremylongshore
Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/speak-pack/skills/speak-hello-world/SKILL.md
Attribution basis: Source repository record

Fields of work: Design, Education & Research, Marketing
Roles: Content Marketer, Tutor / Instructor, UX Designer
Specialties: API, Design, Word Documents, Frontend, Testing
Tools: @Speak/Language Sdk
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: f34f42fad06c89392474419fcaf786043b5ed2fc9f457531a61a668551c0daf6