speak-hello-world

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".

1,868 stars

Best use case

speak-hello-world is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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".

Teams using speak-hello-world should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/speak-hello-world/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/speak-pack/skills/speak-hello-world/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/speak-hello-world/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How speak-hello-world Compares

Feature / Agentspeak-hello-worldStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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).

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