smithery/jeremylongshore

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". '

Installation

$ npx skills add smithery/jeremylongshore --skill speak-hello-world

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Skill metadata

Parsed from SKILL.md frontmatter.

Version1.14.0
LicenseMIT
CompatibilityDesigned for Claude Code
Allowed toolsRead, Write, Edit, Bash(npm:*), Bash(node:*)
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,436 B
  • docs SUMMARY.md 317 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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

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

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).