SP

speak-hello-world

Quickly initialize a Speak AI tutoring session using the Speak SDK to demonstrate pronunciation feedback and conversation practice.

Install

mkdir -p .claude/skills/speak-hello-world && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8274" && unzip -o skill.zip -d .claude/skills/speak-hello-world && rm skill.zip

Installs to .claude/skills/speak-hello-world

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Create your first Speak AI tutoring session with pronunciation feedback.
72 charsno explicit “when” trigger
Beginner

Key capabilities

  • Start a basic conversation session
  • Submit text or audio responses
  • Assess pronunciation of specific phrases
  • Retrieve session duration and vocabulary metrics

How it works

It uses the SpeakClient to initiate a session and process individual turns, providing a minimal implementation for testing API connectivity and basic interaction patterns.

Inputs & outputs

You give it
Scenario name and language code
You get back
Session ID and initial tutor prompt

When to use speak-hello-world

  • Starting a new Speak language learning integration
  • Testing API connectivity
  • Learning basic Speak SDK interaction patterns
  • Validating pronunciation feedback implementation

About this skill

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

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

// 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

// 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

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

ErrorCauseSolution
Session timeoutExceeded max durationStart a new session
Audio format invalidWrong codec or sample rateConvert to WAV 16kHz mono
Language not supportedInvalid language codeUse supported codes (es, ko, ja, fr, de)
Low pronunciation scoreBackground noiseRecord in a quiet environment
Rate limit exceededToo many requestsWait and retry with backoff

Resources

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).

When not to use it

  • When production-grade error handling is required
  • When complex multi-topic state management is needed

Prerequisites

speak-install-auth setupValid API credentials

Limitations

  • Supports specific language codes like es, ko, ja, fr, de
  • Requires WAV 16kHz mono for audio assessment

How it compares

This provides a simplified boilerplate for initial integration testing compared to the full-featured core workflow.

Compared to similar skills

speak-hello-world side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
speak-hello-world (this skill)026dReviewBeginner
twinmind-local-dev-loop126dCautionBeginner
write-test15moReviewAdvanced
deepgram-hello-world126dReviewBeginner

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