Claude-code-plugins-plus-skills speak-hello-world
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/speak-pack/skills/speak-hello-world" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-speak-hello-world && rm -rf "$T"
manifest:
plugins/saas-packs/speak-pack/skills/speak-hello-world/SKILL.mdsource content
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
setupspeak-install-auth - 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).